nemo_text_processing/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/package_info.py,sha256=U_orY7m2kJDNdS1y0eYvlvSDTl6Em44LwgdpNqxQrEE,1442
nemo_text_processing/fst_alignment/__init__.py,sha256=bnmnxk5arzrIqbs-3gAVbkxfQvTPxhhgJwfJ1uJ4bh0,622
nemo_text_processing/fst_alignment/alignment.py,sha256=yoby-iRQzqPjPcoLCypCvoIJJrjm3I2sTl4S8jFGZ9I,9302
nemo_text_processing/g2p/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/g2p/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/hybrid/__init__.py,sha256=bnmnxk5arzrIqbs-3gAVbkxfQvTPxhhgJwfJ1uJ4bh0,622
nemo_text_processing/hybrid/mlm_scorer.py,sha256=bp6PtB-8Tl_JcntoNaq7ITIAIbKtqfH1oZEX4vIB6jw,3438
nemo_text_processing/hybrid/model_utils.py,sha256=HICL8fErCoEJtojMJhekazloUffVqkBsgkOGi9JfpC4,6241
nemo_text_processing/hybrid/utils.py,sha256=B3aPshsmSNxEecbSFnTARlvXbF9QxXh_SHV6zg6LJgc,26907
nemo_text_processing/hybrid/wfst_lm_rescoring.py,sha256=5DkybjKcd6deeOC5kCBpO1_gI6gNLxT5k6iNpb2Oqs4,12854
nemo_text_processing/inverse_text_normalization/__init__.py,sha256=eF3Vij-MPdoogGofR8FzZzf6Oqo3RfGJ_BvlLH8jIM8,707
nemo_text_processing/inverse_text_normalization/inverse_normalize.py,sha256=jvbAi2QRuYZS9gLtbMI887yZMsC1VC0RMkYXZXYNtSI,12280
nemo_text_processing/inverse_text_normalization/run_evaluate.py,sha256=hXYoiPLR5smOxE1WFrnvAahq3OR2TVauSv6tchoYGEI,5734
nemo_text_processing/inverse_text_normalization/ar/__init__.py,sha256=SCs8ZZ_IA8EAa_PJjZHPr2wWQjGeJNMLrXWcfiwC0xM,1036
nemo_text_processing/inverse_text_normalization/ar/utils.py,sha256=TH7P5VK5-bt1k4FxhUoqcMm5C7nMTPqFqJdZDrOcTNQ,1231
nemo_text_processing/inverse_text_normalization/ar/taggers/__init__.py,sha256=SCs8ZZ_IA8EAa_PJjZHPr2wWQjGeJNMLrXWcfiwC0xM,1036
nemo_text_processing/inverse_text_normalization/ar/taggers/cardinal.py,sha256=m0bVGXkLsaIHdMQMdpwEj15-d6_4hyisaCs3ln_bWY4,1602
nemo_text_processing/inverse_text_normalization/ar/taggers/decimal.py,sha256=dDnmXEv_xJ34Lwm5TnsX1nq5AmCNwtK1vey3r1jgqwo,2530
nemo_text_processing/inverse_text_normalization/ar/taggers/fraction.py,sha256=BeuKwCM5QdDhObJAFTwSRILpWR-YjuwnwXBLUimD9gM,4809
nemo_text_processing/inverse_text_normalization/ar/taggers/measure.py,sha256=o-OsYs9STricwPVcEkUjUtRQhxgShlzyexWuCiKKz3E,2986
nemo_text_processing/inverse_text_normalization/ar/taggers/money.py,sha256=0FJvQnSaMxfEqlk3IKxn994viquEy64NW9Z-yhZk4Ks,3326
nemo_text_processing/inverse_text_normalization/ar/taggers/punctuation.py,sha256=6-IT2q47zCjW7hjRmAoGgIqZtGEp9MX2cwWW6BtH8AQ,1189
nemo_text_processing/inverse_text_normalization/ar/taggers/tokenize_and_classify.py,sha256=lY0EPaaGaIb-fzHQjToQcBqI5oAO6aNsYj0V_sNDNo4,5084
nemo_text_processing/inverse_text_normalization/ar/taggers/word.py,sha256=XxnkbGuCNf1zdjms7HCiA3fFh1o05lK1TKtddN06OkQ,1211
nemo_text_processing/inverse_text_normalization/ar/verbalizers/__init__.py,sha256=ixLo957u1xQF88JEJST7efdSLr-jzHRsHknQ3ohqleg,1005
nemo_text_processing/inverse_text_normalization/ar/verbalizers/cardinal.py,sha256=Y7DpiyIwYZG8kaZMQOEfUEXIPd-xNblhk5sMsC2tFVA,1668
nemo_text_processing/inverse_text_normalization/ar/verbalizers/decimal.py,sha256=fLFwRulo4t_z3qEPS2IaVv5zmzprtZ32XLGmsLtgBIc,2360
nemo_text_processing/inverse_text_normalization/ar/verbalizers/fraction.py,sha256=EiYbI8eISn-5AoaOKiGSloJng10mtGQo2biLFK1LERI,2056
nemo_text_processing/inverse_text_normalization/ar/verbalizers/measure.py,sha256=ZsNriJC3sNFJ5Hn5Xf145zmfOwJliTSzIR84C2-fVa4,2224
nemo_text_processing/inverse_text_normalization/ar/verbalizers/money.py,sha256=emAk2lkKtNCKvHUB-4rrDmVzijofW3V5urqZHrYVtrA,2899
nemo_text_processing/inverse_text_normalization/ar/verbalizers/verbalize.py,sha256=lKRhu_1BEwEjLD4JPTPB84n-7TPD8KT5S7eYFqSN5SA,2060
nemo_text_processing/inverse_text_normalization/ar/verbalizers/verbalize_final.py,sha256=m3RgqMSt3uZVVC5gB53BzhTsWAO6rVJ26TCJ3J3ayes,1749
nemo_text_processing/inverse_text_normalization/ar/verbalizers/word.py,sha256=aIiwBrUpZtUt4lH1PPcI7mTdiuPCB2EiZB17e7LJDaU,1296
nemo_text_processing/inverse_text_normalization/de/__init__.py,sha256=CAhS8ytJZ7JQq9wErhgtQKO7SXrw7pry8GqbIYzTMjk,923
nemo_text_processing/inverse_text_normalization/de/taggers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/de/taggers/cardinal.py,sha256=P1OCU93qy5fqw-qQnh4Q7vSq-PaYxJX7jFNtoXC0fmk,3294
nemo_text_processing/inverse_text_normalization/de/taggers/date.py,sha256=BBVE1cCHwzCJqRKxlBsI5aAyWKXyNRj3DeWu6OreugY,3579
nemo_text_processing/inverse_text_normalization/de/taggers/decimal.py,sha256=3NU7lVurKqbzA3HFqtjyPgQnLXDF24snaWvD2tR6V8s,2644
nemo_text_processing/inverse_text_normalization/de/taggers/electronic.py,sha256=w-gKAbrN2dZIRc2wAYrSOVppGUH6izAGIMI-tNAmsP0,1591
nemo_text_processing/inverse_text_normalization/de/taggers/fraction.py,sha256=GSE_uxCyEj33dgWb18bVlMfDc6xB6sJjzaOS_e7nR8g,2655
nemo_text_processing/inverse_text_normalization/de/taggers/measure.py,sha256=1AoSGCXnLj3LFuG0x54CY2g0pcY8MzhG26ZUf4OltzQ,3902
nemo_text_processing/inverse_text_normalization/de/taggers/money.py,sha256=6sNDT9uDofxNl8d2O3r_0RM9IHdnaarNxuS-h5nLaiw,3572
nemo_text_processing/inverse_text_normalization/de/taggers/ordinal.py,sha256=C3JiqWfpgpTbPok_b7crNUjGUxdxTY1SRhqY3Mq66Ks,1629
nemo_text_processing/inverse_text_normalization/de/taggers/telephone.py,sha256=FpNpYFXZQhVNDdNUPgJatUvJzHQp5Da7z1SLB_B12Uc,2073
nemo_text_processing/inverse_text_normalization/de/taggers/time.py,sha256=TqVz7H3fVTCuEvITkdEwKlBayOMZlzbi6q53aKEEQnw,1978
nemo_text_processing/inverse_text_normalization/de/taggers/tokenize_and_classify.py,sha256=vWCT0MDiVslH1EAgnLlTzwqeKvhYsdEDjlz6K6jE3wA,8415
nemo_text_processing/inverse_text_normalization/de/taggers/whitelist.py,sha256=56LfWKQE6fzt9ntUQD2N6PE1HVvU5M5NcH6hNd0MfiY,1701
nemo_text_processing/inverse_text_normalization/de/verbalizers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/de/verbalizers/cardinal.py,sha256=t8f2tiy83Jh3VfvJjkpF3KhzX95CT82xUuPgfsgDtqo,1476
nemo_text_processing/inverse_text_normalization/de/verbalizers/decimal.py,sha256=LDCJxu1rUpAUIcSPXmS9KyYK-gzCIekQ6c6vLS-WTCI,1978
nemo_text_processing/inverse_text_normalization/de/verbalizers/measure.py,sha256=UzSwDdNhGI6S1SByMTH8o-a4s41fCkcugCAikqIKpTk,2441
nemo_text_processing/inverse_text_normalization/de/verbalizers/money.py,sha256=tPoC-myqzqxi1RGk1iLfn2t5ZiEm__fc52-JCERg7rE,1524
nemo_text_processing/inverse_text_normalization/de/verbalizers/time.py,sha256=BQAAStEB2iKn05038Q_lHmnSYeAxjLVHdE6XRwQfErM,2470
nemo_text_processing/inverse_text_normalization/de/verbalizers/verbalize.py,sha256=j6Qi83vwZS1IBpUIG5_hPcVGWjv8UGVzqgbJPjsskew,2446
nemo_text_processing/inverse_text_normalization/de/verbalizers/verbalize_final.py,sha256=5nN3-PSgvthFGaq_-s-IyuDLrtvRhHW9KvbsPC2ezuE,1815
nemo_text_processing/inverse_text_normalization/en/__init__.py,sha256=CAhS8ytJZ7JQq9wErhgtQKO7SXrw7pry8GqbIYzTMjk,923
nemo_text_processing/inverse_text_normalization/en/clean_eval_data.py,sha256=wGj6NHgYvq6ACVUDMqs_pBi_cjf8A7j6dDc-X3KdpBM,12759
nemo_text_processing/inverse_text_normalization/en/utils.py,sha256=EMGedz3nzLjcvSjZ8KWK_WLGYzNEq09Zq6V5AHf-Uxw,1611
nemo_text_processing/inverse_text_normalization/en/data/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/data/currency.tsv,sha256=JJGDP4Dp56zGaLF2pG6TFta3-6ZceCSfxpKPNPHMjW0,3146
nemo_text_processing/inverse_text_normalization/en/data/date_period.tsv,sha256=kFUu9LECbBAN_FQSeF6MM-zPMO0fLhKO3payoRqhPUs,137
nemo_text_processing/inverse_text_normalization/en/data/magnitudes.tsv,sha256=5k_r3BLcxIB0d3scLEBCMSL_CTN-WwH3Saw2QEohVRE,41
nemo_text_processing/inverse_text_normalization/en/data/measurements.tsv,sha256=wET1ky4T8GTCtGGaX2QuFIUtWUne1eET9vIxBROCNwY,2183
nemo_text_processing/inverse_text_normalization/en/data/months.tsv,sha256=OCP0YwtsR77sJC4ttcqwB-hI0MwXrCgopxKzgKD7d_8,86
nemo_text_processing/inverse_text_normalization/en/data/months_cased.tsv,sha256=qZBI0q8N3p7P4_koQIt1JqLPzg89_YtHD40QXhQ_60Y,86
nemo_text_processing/inverse_text_normalization/en/data/whitelist.tsv,sha256=F9Jpb4r29KXtqviXi5AdY8leOK7f2LxWayGCY06OG-c,5481
nemo_text_processing/inverse_text_normalization/en/data/whitelist_tech.tsv,sha256=bcJS--MnUsnHGCYxg_wj6PfEckmFLuxUE6SsTj67pSs,6080
nemo_text_processing/inverse_text_normalization/en/data/year_suffix.tsv,sha256=oqPzoK7ws-vXSfgc-mbi1Yp7CzqhYjdEloXVEe2jKek,67
nemo_text_processing/inverse_text_normalization/en/data/electronic/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/data/electronic/domain.tsv,sha256=D4KXWhfnxYs5fGjMRyI7u2LTgPGj0GpKv2Bkk88TK4k,32
nemo_text_processing/inverse_text_normalization/en/data/electronic/server_name.tsv,sha256=OVdv4Tsii_Gxx9T7vGKwnJHE7o10QL3S27xClnGXsRQ,121
nemo_text_processing/inverse_text_normalization/en/data/electronic/symbols.tsv,sha256=buYl8bNzHYHzL5qKY5n5xAhV72hgWGJKgxwXgnHjEes,263
nemo_text_processing/inverse_text_normalization/en/data/electronic/url_symbols.tsv,sha256=IVDOeecob9YXqEFcOhNQ7OQuUAZKX_HCFKdh_im91BE,42
nemo_text_processing/inverse_text_normalization/en/data/numbers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/data/numbers/digit.tsv,sha256=w2pZJZqc6i9qwDUnMt-B3wF9qok-l_r03_ibuV9vpNY,62
nemo_text_processing/inverse_text_normalization/en/data/numbers/hundred.tsv,sha256=l_6KN0kGmTEzoqn0yWZ84lPBB3YNecBJzflXiLC3qDo,7
nemo_text_processing/inverse_text_normalization/en/data/numbers/teen.tsv,sha256=kGQZwt1a3vvKR_yDcytDkY54-9MxximyJnpghcmClfA,109
nemo_text_processing/inverse_text_normalization/en/data/numbers/thousands.tsv,sha256=4RUFPjUcgUo8vnz0HzODCh9X10S9PGsovJ9RmvV0tIo,261
nemo_text_processing/inverse_text_normalization/en/data/numbers/ties.tsv,sha256=LoCe4z8Nl3EqfEvGtZgprBSsQgdfNxMMjWOVlkF4bAo,78
nemo_text_processing/inverse_text_normalization/en/data/numbers/zero.tsv,sha256=9Lfr8QViOIxgmNx_SMwScaBuB84lkULljiDRGc2s5Is,6
nemo_text_processing/inverse_text_normalization/en/data/ordinals/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/data/ordinals/digit.tsv,sha256=sTNAFeHKZVgnEGjvwOKFirScKFuNN7v6w35POB_1xKA,105
nemo_text_processing/inverse_text_normalization/en/data/ordinals/teen.tsv,sha256=SzEU76TTEiq4eYvpkub-9zQI7Nj0CiDz1EYRLzZLf2A,14
nemo_text_processing/inverse_text_normalization/en/data/time/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/data/time/minute_to.tsv,sha256=1MUaWI726LrpwnfszcllLwGTcl5DFneNoJ3-uGK2DVA,336
nemo_text_processing/inverse_text_normalization/en/data/time/time_suffix.tsv,sha256=n__-2aAI0PhtUh51m05w-ndnUVhGTHbmQ51GAGFs1Lo,61
nemo_text_processing/inverse_text_normalization/en/data/time/time_suffix_cased.tsv,sha256=fcducjQew77lX79M01rEuwxmKYoRxJ0OR1iYEChbwl8,61
nemo_text_processing/inverse_text_normalization/en/data/time/time_zone.tsv,sha256=GXoUe_IiKRMmX9ieMqyS3ShzEydYE8YBdJ8hQ8bENo0,64
nemo_text_processing/inverse_text_normalization/en/data/time/time_zone_cased.tsv,sha256=cr3HLo1zzzoRre23apMHS3NR2wkBbmEmX8uX50yMLRs,64
nemo_text_processing/inverse_text_normalization/en/data/time/to_hour.tsv,sha256=KUhm2FIHFnKEEHHykLFlwufAg7kf5a6OuUFOBam083s,89
nemo_text_processing/inverse_text_normalization/en/taggers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/taggers/cardinal.py,sha256=76MYA-ueLkjWdLdJWwx2tlFZgz-0ii2YQvHwyo10PhM,9999
nemo_text_processing/inverse_text_normalization/en/taggers/date.py,sha256=dS-LC-s9oIWIwc0Xx3bum1Uuyr7ZOW3QiV2z04xNiqI,7694
nemo_text_processing/inverse_text_normalization/en/taggers/decimal.py,sha256=Hb_8kB0TZZWPm-U8PyRcB15gH0ED80S18TzUmSsMCFI,5176
nemo_text_processing/inverse_text_normalization/en/taggers/electronic.py,sha256=zCIMiaUrE5LrAksf5WfdQ9cbg4lqgYOsFzgMRZfp47A,5620
nemo_text_processing/inverse_text_normalization/en/taggers/fraction.py,sha256=Z1eNo0x398AzO5C3t9wcArJGGL3bqfhRDTMzn1Qlf2g,1098
nemo_text_processing/inverse_text_normalization/en/taggers/measure.py,sha256=3r7PxtB1K1hbGbODuH5AQTfkVC5n-kIe-OHZVO67sdc,4383
nemo_text_processing/inverse_text_normalization/en/taggers/money.py,sha256=xoZ9ZlZspCwUFwRM4QH4sVGvH65DOqrJOUStf45pCAc,5173
nemo_text_processing/inverse_text_normalization/en/taggers/ordinal.py,sha256=nDwj5F6FosroWsICazYmTHdN9ZAHcf3fwRKvYX5t0TQ,2068
nemo_text_processing/inverse_text_normalization/en/taggers/punctuation.py,sha256=0K3-MRefaPm5R-DpHcc3LfOaY8RnijJZifnFr0BW5V0,1219
nemo_text_processing/inverse_text_normalization/en/taggers/telephone.py,sha256=xwOWtwAgLPYvefY7cIX9GE8XFBabfwvM2-o7rfX6jtc,8678
nemo_text_processing/inverse_text_normalization/en/taggers/time.py,sha256=papLBSdyTuIB1ZcfYM7pUu0qjsn6AzopbM7IstLiZQg,7186
nemo_text_processing/inverse_text_normalization/en/taggers/tokenize_and_classify.py,sha256=c_dJwYNUKZW0sNZXfRY0EdwameRJXP6bt6n7h-UhU-E,5735
nemo_text_processing/inverse_text_normalization/en/taggers/whitelist.py,sha256=lqxfifJujhjW7chy-qgZz5zSXGhm6YSjfaxl6x7hVMM,2188
nemo_text_processing/inverse_text_normalization/en/taggers/word.py,sha256=Q_I8eAulNiwV7NvHNJUY5lNeTSqtQR0-1NhxKXJD-xo,1241
nemo_text_processing/inverse_text_normalization/en/verbalizers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/en/verbalizers/cardinal.py,sha256=SebFhQVS7E-s8V2cNGR_bG0ctmGwy1VePPtbV18Zikc,1656
nemo_text_processing/inverse_text_normalization/en/verbalizers/date.py,sha256=7uRMxPmy-sEzT6V54Y_rpabu1cy_LVM-I7wYokPUJlw,3032
nemo_text_processing/inverse_text_normalization/en/verbalizers/decimal.py,sha256=LtowhoK2AOiB4-Fn67Y8PLhEQvr4yLMJHMeEtG1uzeI,2347
nemo_text_processing/inverse_text_normalization/en/verbalizers/electronic.py,sha256=gUCyRcIwlL1XS_3keW_wTR1r7NgB2n3JuB7nkdki6Vg,1884
nemo_text_processing/inverse_text_normalization/en/verbalizers/fraction.py,sha256=yk4W0AfY9PNkeauU8AHnQBC6u2ZDnMy54oxgNpG7XXE,915
nemo_text_processing/inverse_text_normalization/en/verbalizers/measure.py,sha256=yx2jlQoPoU_FlK9bojHzGEB4SUAEN2i9y8NpUQyFl0g,2193
nemo_text_processing/inverse_text_normalization/en/verbalizers/money.py,sha256=4dUVaQFaOLd3e00dti6Spa1Fm2Wqu3coxqthwErJs5A,1484
nemo_text_processing/inverse_text_normalization/en/verbalizers/ordinal.py,sha256=QBOdOsYvqB0dpVbAd4k1BbbBnKutaYPGu49igpM83Hk,2043
nemo_text_processing/inverse_text_normalization/en/verbalizers/telephone.py,sha256=KU9aoTYbxAPQynplmrHwmGfC3u4Ogdn9pz0Jyk7Ai1U,1550
nemo_text_processing/inverse_text_normalization/en/verbalizers/time.py,sha256=m0n-HNSeUsYLvPTt-Nfnf5JgfJyuJVYvQBzHovxmKL8,2697
nemo_text_processing/inverse_text_normalization/en/verbalizers/verbalize.py,sha256=TaSVTdSNEiFJnuDj4nY3Mq-JPrdLCIu7ZiurAykh84E,2867
nemo_text_processing/inverse_text_normalization/en/verbalizers/verbalize_final.py,sha256=f6rf58ZkDziy8JoqJATbuSbE3642RF5DQTWiulNksiA,1779
nemo_text_processing/inverse_text_normalization/en/verbalizers/whitelist.py,sha256=LhZ9Xk2kl1ZvndbQ2lMhG87-A1DCydOSQdR9EqF2Is0,1383
nemo_text_processing/inverse_text_normalization/en/verbalizers/word.py,sha256=hQ_ujnKlKgTvvR8jHSGlEgvMLHO4VyWedwF1_VID8M8,1326
nemo_text_processing/inverse_text_normalization/es/__init__.py,sha256=prbi3xbqb5tgPXMflOYvLLokZYc0GRrXAU_u4XTH14A,936
nemo_text_processing/inverse_text_normalization/es/graph_utils.py,sha256=ocIaccT8V-DwXRzwcsZDLZOBIryy52QHY53cISk1DZ0,1989
nemo_text_processing/inverse_text_normalization/es/utils.py,sha256=aRi157LUXvHTR4pFhP9Nxdoayv2OvwwMQMaEaLEpA0g,856
nemo_text_processing/inverse_text_normalization/es/data/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/data/months.tsv,sha256=XDWS83AfRBW0Hvkyw8DW8MMwo7pNHfoCTYwENHVjkxk,88
nemo_text_processing/inverse_text_normalization/es/data/whitelist.tsv,sha256=izk-y7PRzAssdtVQ0qKjnzkrZ9sOxjGRFCNO9vi8sOs,551
nemo_text_processing/inverse_text_normalization/es/data/dates/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es/data/dates/months.tsv,sha256=XDWS83AfRBW0Hvkyw8DW8MMwo7pNHfoCTYwENHVjkxk,88
nemo_text_processing/inverse_text_normalization/es/data/dates/months_cased.tsv,sha256=l764QaZGsj2wyl4T_hYDC3Z_8i3VHO4eb5MGzfp6PUU,88
nemo_text_processing/inverse_text_normalization/es/data/dates/year_suffix.tsv,sha256=2lTiUOkfHfCdz8rRAT02wHtmL-2DmKp3cbuotVQkEIg,253
nemo_text_processing/inverse_text_normalization/es/data/dates/year_suffix_cased.tsv,sha256=ZhJquJkeE0NskkhSXtulrlHJFdN56l5h5DeL8NjmAYM,253
nemo_text_processing/inverse_text_normalization/es/data/electronic/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/data/electronic/domain.tsv,sha256=cbeTa63u91M4I8WpXLEag9hmhFfGkMpCIS47T4QTmkY,86
nemo_text_processing/inverse_text_normalization/es/data/electronic/server_name.tsv,sha256=YOxV7FLExagrmiLLRomrGVqED_PTJAX0Vwoqzl6NKFE,117
nemo_text_processing/inverse_text_normalization/es/data/electronic/symbols.tsv,sha256=mbh2UDwo83R1nWVmxpYpE10EKG1QPl1s-xpEupbC_Dw,311
nemo_text_processing/inverse_text_normalization/es/data/fractions/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es/data/fractions/numbers_read_as_ordinals.tsv,sha256=IneU6z1AnepUnBa-akBYhGWHKjvJoW5qvwo8qmgB_xw,85
nemo_text_processing/inverse_text_normalization/es/data/fractions/ordinal_exceptions.tsv,sha256=8jKExrxmZa4dmh8Tk2K8EW4t7gQv2xv9dycRfb2ERXU,28
nemo_text_processing/inverse_text_normalization/es/data/measures/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es/data/measures/math_symbols.tsv,sha256=3FvbJhwLI5Kz8ZlU4KjxRQNs6LHCaT7xUxJL20jOo_4,29
nemo_text_processing/inverse_text_normalization/es/data/measures/measurements_plural.tsv,sha256=LRcMM96b4wm6P4WXBzCdt3RTAV49kAz97gNMtRIbTQk,514
nemo_text_processing/inverse_text_normalization/es/data/measures/measurements_singular.tsv,sha256=h5owN1XZtk3WvRJpN4DQ-8pNKvLLtft7bv4cuj_yPH0,501
nemo_text_processing/inverse_text_normalization/es/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es/data/money/currency_major_plural.tsv,sha256=f52r6d-1bRsyjBUiIRoWUuLn_K4fp5wJcFVaPgr5DmY,765
nemo_text_processing/inverse_text_normalization/es/data/money/currency_major_plural_capitalized.tsv,sha256=mLf6OOZnwQBFSIVAgwGCav1v-J7ItKAbfZGykhd0Gv4,1670
nemo_text_processing/inverse_text_normalization/es/data/money/currency_major_plural_ext.tsv,sha256=CeULkRL6CkFYwlbXFZErHozIn2hH98iCuC1dzU3NuKs,4273
nemo_text_processing/inverse_text_normalization/es/data/money/currency_major_singular.tsv,sha256=Y_3JiOWlI8QaK_EQDC_U-_1J7lzS3ViIbkMb5HvTW2g,683
nemo_text_processing/inverse_text_normalization/es/data/money/currency_major_singular_capitalized.tsv,sha256=VQX2SnEsnjRTfVEehvhAdZd7sJyRRdiPNyxpUyaFiB4,1528
nemo_text_processing/inverse_text_normalization/es/data/money/currency_major_singular_ext.tsv,sha256=iUoc2fPAiYEp9lvDO4mgVg67yGkoPX0w5wM8CxsCKGY,3933
nemo_text_processing/inverse_text_normalization/es/data/money/currency_minor_plural.tsv,sha256=ncvFrMdsS9qlpzgxPYvh2jzlqljpRazNwDKhJmvc3-0,61
nemo_text_processing/inverse_text_normalization/es/data/money/currency_minor_plural_ext.tsv,sha256=XRdvc02_OG7HwEuqsP9IGpgLAx4avLXlbTVXqp1Y268,743
nemo_text_processing/inverse_text_normalization/es/data/money/currency_minor_singular.tsv,sha256=rQggrtPzU8tOsx7wM252R9T2FI5kGNFGWOP8P9AIveI,58
nemo_text_processing/inverse_text_normalization/es/data/money/currency_minor_singular_ext.tsv,sha256=il9G53Cc5o5IvGraYpk-BgozAeKAbZ6CaheDJH3eRkY,807
nemo_text_processing/inverse_text_normalization/es/data/numbers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/data/numbers/digit.tsv,sha256=fxBOPGs8S42n-5XF8aRTmHQFv2LTBjaME7iZ7mPtBTQ,77
nemo_text_processing/inverse_text_normalization/es/data/numbers/hundreds.tsv,sha256=_AVh-lhGQYE7Rys0cn7D8sgphwQ_6DblkeC_-8dpoQg,239
nemo_text_processing/inverse_text_normalization/es/data/numbers/teen.tsv,sha256=TbqRc-yTxiVNuxe5qTOAZOl9_qo-iKY7UVXhPvZVkx4,108
nemo_text_processing/inverse_text_normalization/es/data/numbers/ties.tsv,sha256=QcMUEfr3s5y5fEfZ73hEHhmZCj8hgcxm2G0bt0I9MTI,82
nemo_text_processing/inverse_text_normalization/es/data/numbers/twenties.tsv,sha256=cVJ6kVz-RV8iR659vE6F6M7sOkOawb3VPtzqmzpBxb8,158
nemo_text_processing/inverse_text_normalization/es/data/numbers/zero.tsv,sha256=o2rSC9uutlEFfrTALh2QOOTFcb9tlnhEgGmQ3yiH_UE,6
nemo_text_processing/inverse_text_normalization/es/data/ordinals/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/data/ordinals/digit.tsv,sha256=-hTPyY8Yzq8Rem35nYgErilgQUttaiJkLCaHjEYKhew,280
nemo_text_processing/inverse_text_normalization/es/data/ordinals/digit_capitalized.tsv,sha256=VJF1JUNkv-ir5cCCSkj6PmM5mVCIIy8WxUV3p5IGXw0,281
nemo_text_processing/inverse_text_normalization/es/data/ordinals/hundreds.tsv,sha256=21wk_zGwMNAC71MaiN5JFg_krEraTV0SgAFUrNfrIPs,473
nemo_text_processing/inverse_text_normalization/es/data/ordinals/hundreds_capitalized.tsv,sha256=x1yjc2B1ww3sVIPFULXGO4cvk23KOkWfNd6ooezg0Ys,474
nemo_text_processing/inverse_text_normalization/es/data/ordinals/teen.tsv,sha256=31Wl82hqL5nBEc7H0WZ5P8aS-a1sbDyhdCEFSote9Aw,1324
nemo_text_processing/inverse_text_normalization/es/data/ordinals/teen_capitalized.tsv,sha256=KPUJAGvvgfud7FGoQyWZAtflnwI8zjKLl8Zh93h21Eg,1324
nemo_text_processing/inverse_text_normalization/es/data/ordinals/ties.tsv,sha256=S0ThnQR1nTGGU7tguPd08DO15KXz5mjKrGcZiddWycs,312
nemo_text_processing/inverse_text_normalization/es/data/ordinals/ties_capitalized.tsv,sha256=-E9GI0RwaKjWErS32RAPbBpGzYCZulBYTwfzJZ_h180,313
nemo_text_processing/inverse_text_normalization/es/data/ordinals/twenties.tsv,sha256=Jv7MvAvtL2RDbg2wYUl6wsjsefq65imKLrq9FV9ScbM,1403
nemo_text_processing/inverse_text_normalization/es/data/ordinals/twenties_capitalized.tsv,sha256=odumw9pQEiG3Q1GMoBNuPkLb-IHbXO3oRuxUCZPTZLw,1403
nemo_text_processing/inverse_text_normalization/es/data/roman/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo_text_processing/inverse_text_normalization/es/data/roman/digit.tsv,sha256=UukptV4nZEpkvKZO_hDRRZTu3rFuQkloBo7UpgD-yp4,46
nemo_text_processing/inverse_text_normalization/es/data/roman/hundreds.tsv,sha256=opwFz80-9kjxgKnvLz_4Ronz6PGSufbDQ4bj98p5sfY,46
nemo_text_processing/inverse_text_normalization/es/data/roman/thousands.tsv,sha256=jzGJ-j8TAJQhpBGfPa4hvxCN8L9mXxx-sNkW-4ILgYw,15
nemo_text_processing/inverse_text_normalization/es/data/roman/ties.tsv,sha256=2tj_OzJnnaqeBYXNRazlmzRC2EX77btJiRudUGAIVcE,46
nemo_text_processing/inverse_text_normalization/es/data/time/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/data/time/minutes_to.tsv,sha256=jYo45XSUfjpusZxP6ruSJA7n8-SBCjrLAM6zM8WMI8k,95
nemo_text_processing/inverse_text_normalization/es/data/time/time_suffix.tsv,sha256=SfInmYcIByg0w1A4nhlnmH3INNRP6la5-7y5qis938I,157
nemo_text_processing/inverse_text_normalization/es/data/time/time_suffix_cased.tsv,sha256=C5c9554jfibXhIaXnSoASfHrxs7J3EutUhD8a-Pw0hg,150
nemo_text_processing/inverse_text_normalization/es/data/time/time_to.tsv,sha256=5QDvrD2Uy1F8zIOV-rV7njAYVZyggtTz_2WhUg5gSXU,448
nemo_text_processing/inverse_text_normalization/es/data/time/time_zone.tsv,sha256=Q4t3N_dvHTuLo5BgDk6K4VGBssUwX9QarKk8kJXxkxE,1055
nemo_text_processing/inverse_text_normalization/es/data/time/time_zone_cased.tsv,sha256=_BfA20kyRxPurwSi1477LXljM8dt8c0d1t-yfNeqcIw,1055
nemo_text_processing/inverse_text_normalization/es/data/time/time_zone_ext.tsv,sha256=2Z_mRvlQi_JczQK7ep4RjBYkAHkTZVi8lgUW3KXUKF0,3192
nemo_text_processing/inverse_text_normalization/es/taggers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/taggers/cardinal.py,sha256=UCUL_ATDP72GKgDkRu4pE0pEZzyWJxTEVlXj3m0T_sw,9269
nemo_text_processing/inverse_text_normalization/es/taggers/date.py,sha256=1seYg148hbX53PMdNqRZJE-D-XzwAO_2zywP_5y4rQ4,3954
nemo_text_processing/inverse_text_normalization/es/taggers/decimal.py,sha256=XVpyzC1KO4Lw0knFH3vHtOeq75o2-Yme8ThHHquSRWs,6219
nemo_text_processing/inverse_text_normalization/es/taggers/electronic.py,sha256=2cSZPQoROKUxyzE1fv1WyllVaw2x4w1yRpsS3kEeeZg,7174
nemo_text_processing/inverse_text_normalization/es/taggers/fraction.py,sha256=o8JqOb5k94vq_onWjxuHy3jqATYDSSrE-KLI16Wloz8,5175
nemo_text_processing/inverse_text_normalization/es/taggers/measure.py,sha256=pv5t-sdL338Ish7nBeCgPiqNNZG7V6vwMp6hWvd3t78,6139
nemo_text_processing/inverse_text_normalization/es/taggers/money.py,sha256=FiRRp9yAG5smKY1OoC2calHUWCCFe6paJQlD3Bsw2Tg,6844
nemo_text_processing/inverse_text_normalization/es/taggers/ordinal.py,sha256=0n9Fa2AjiVnBjuJcuLEs_PbcEMV1rnco1rVaYmgjfcI,5487
nemo_text_processing/inverse_text_normalization/es/taggers/punctuation.py,sha256=hskcL_Nql7EdmhkrNSiN7Yb9l9UttvyHYnl6t8SqY9g,1190
nemo_text_processing/inverse_text_normalization/es/taggers/telephone.py,sha256=Cz_iJt8ukVA-HzncjIfUg1mmbEPyCWpHWqFxLN-fB_k,6832
nemo_text_processing/inverse_text_normalization/es/taggers/time.py,sha256=2uPbZ7CAMTbKmuVDXP6AEjEGRT-vJj4ZLTyL4o3y1Qg,10018
nemo_text_processing/inverse_text_normalization/es/taggers/tokenize_and_classify.py,sha256=kuqPru-aUeh4gRhCSR4-K9XdpN-WJvfqvudo4FsFewQ,6012
nemo_text_processing/inverse_text_normalization/es/taggers/whitelist.py,sha256=aTDZn5DmP2p4HroEUBJSTsQPHGnZSt7AbNJlqsSHxQo,3441
nemo_text_processing/inverse_text_normalization/es/taggers/word.py,sha256=0vq_fL6o4EXv0fE4AlNDBMcTqKeBhojI5SyOUFD-NNw,1212
nemo_text_processing/inverse_text_normalization/es/verbalizers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/es/verbalizers/cardinal.py,sha256=pq7cjzoTh3KfwsXq7JQ4FSmS8uXibRLjIpfZCM8IN_Y,1669
nemo_text_processing/inverse_text_normalization/es/verbalizers/date.py,sha256=biQwg7tbvpBvA3TyuAaokPvWPjUF7a3L2_naOKpRs8A,2543
nemo_text_processing/inverse_text_normalization/es/verbalizers/decimal.py,sha256=5rdG69Bt1scQGmOs_zNb0fPvSmfrrSAyrZ6HhHe9Zeo,2902
nemo_text_processing/inverse_text_normalization/es/verbalizers/electronic.py,sha256=j9uNUkZubFQuY-5XBsi3NTxUkIkuEvipB36lcgwbRTo,1974
nemo_text_processing/inverse_text_normalization/es/verbalizers/fraction.py,sha256=3X6pWUQXLWvevT9eizBsJOQq8FpBK5oHvx2m5XbFNns,1894
nemo_text_processing/inverse_text_normalization/es/verbalizers/measure.py,sha256=z4LPJjDFqXjI2-kOkPaxK9NB2qS8RPlWnDw6NSiX34A,2559
nemo_text_processing/inverse_text_normalization/es/verbalizers/money.py,sha256=lk6z0Gm2zTRrb7UPh2QGv4pXTaeioE19tR4nbHk-Yww,1485
nemo_text_processing/inverse_text_normalization/es/verbalizers/ordinal.py,sha256=Rj82kjSZZY6TLGOefIB4PsumH2s4TO3_OS_LWekLBVM,1645
nemo_text_processing/inverse_text_normalization/es/verbalizers/telephone.py,sha256=zRFjC5nBoBwaBbACS7fKH4Y1H1bqGt7ld0N6gxv5iaw,1246
nemo_text_processing/inverse_text_normalization/es/verbalizers/time.py,sha256=iD-gyrfBQG6MGpu9ZKzYatfU5C5PKOMN87OML5indoU,2759
nemo_text_processing/inverse_text_normalization/es/verbalizers/verbalize.py,sha256=fw0n4ujueDrtX9lOHl4sF_Irf8XAfBMsGbdHO2Opno0,3057
nemo_text_processing/inverse_text_normalization/es/verbalizers/verbalize_final.py,sha256=wis99M7DQnb5vxTamVDtRd5RsoT72toBKNcosviiR4s,1750
nemo_text_processing/inverse_text_normalization/es/verbalizers/whitelist.py,sha256=yIflmp6WtWDzqK3rwwUwfyGJRBLHVX3e-x87Oga1vnk,1354
nemo_text_processing/inverse_text_normalization/es/verbalizers/word.py,sha256=fFA8UpYLv8gLdF0YH9sM41vix3xlCzoz7F1W4vHLpBQ,1297
nemo_text_processing/inverse_text_normalization/es_en/__init__.py,sha256=prbi3xbqb5tgPXMflOYvLLokZYc0GRrXAU_u4XTH14A,936
nemo_text_processing/inverse_text_normalization/es_en/graph_utils.py,sha256=ocIaccT8V-DwXRzwcsZDLZOBIryy52QHY53cISk1DZ0,1989
nemo_text_processing/inverse_text_normalization/es_en/utils.py,sha256=aRi157LUXvHTR4pFhP9Nxdoayv2OvwwMQMaEaLEpA0g,856
nemo_text_processing/inverse_text_normalization/es_en/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es_en/data/en_whitelist.tsv,sha256=tdwoNFE_YxSVnX_BB9xLoO4y9kSyhehTUEM4sLBYySA,5474
nemo_text_processing/inverse_text_normalization/es_en/data/es_whitelist.tsv,sha256=U5LIzAtSUQXh_y5EFNd_fvKcDiOBIeZ9bkBiAnJAwJU,218
nemo_text_processing/inverse_text_normalization/es_en/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es_en/taggers/tokenize_and_classify.py,sha256=-RrrO1ehW0MfjwFsa7-k-78Gn0BLdbpIAlN4juYzrhQ,9626
nemo_text_processing/inverse_text_normalization/es_en/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/es_en/verbalizers/verbalize.py,sha256=caNA3DIYCelI6vrONWTwIiGk-wgkaLJj8kI9iB-5uV4,5334
nemo_text_processing/inverse_text_normalization/es_en/verbalizers/verbalize_final.py,sha256=dFW_yM-hXgFspnPqu2GJPxcDR1a44rYDrPGuv6pYMqY,1753
nemo_text_processing/inverse_text_normalization/fr/__init__.py,sha256=h78uinvTslmYIzVeA-368dMIzYyyA3_YFntcvVAVZh8,936
nemo_text_processing/inverse_text_normalization/fr/graph_utils.py,sha256=swWteC0UEcLOTG2PsnMNI2ENkM1v_uX6qSIbgziIQCw,6090
nemo_text_processing/inverse_text_normalization/fr/utils.py,sha256=aRi157LUXvHTR4pFhP9Nxdoayv2OvwwMQMaEaLEpA0g,856
nemo_text_processing/inverse_text_normalization/fr/data/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/fractions.tsv,sha256=_ndUspOiZS95Mp1w9X60nCgKxCZIL1f-L_8dxwZZOcE,737
nemo_text_processing/inverse_text_normalization/fr/data/months.tsv,sha256=SO2RAXpQsQ15w5jtIjBB21s-TVFtXlCL3s2TS8qUg1M,87
nemo_text_processing/inverse_text_normalization/fr/data/suppletive.tsv,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo_text_processing/inverse_text_normalization/fr/data/whitelist.tsv,sha256=NGBDMTdpAJlFtkdqoYTd8yBDX0K-KYDc1wsQWLkj97M,300
nemo_text_processing/inverse_text_normalization/fr/data/electronic/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/electronic/domain.tsv,sha256=le7XgzjYg3m6-HrwgigQQccDphYdjayF4pn6wjIwMBg,77
nemo_text_processing/inverse_text_normalization/fr/data/electronic/server_name.tsv,sha256=PlBqPGMs2Zaz8V7yOLaTYb3mIxvMxIGd9jUCt4WQD-A,120
nemo_text_processing/inverse_text_normalization/fr/data/electronic/symbols.tsv,sha256=JsX--w7facdXYi8qYkCq3HlltGF6laws24tc03spjh4,126
nemo_text_processing/inverse_text_normalization/fr/data/measurements/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/measurements/magnitudes.tsv,sha256=ad4Wb2moZuBSxaIvQ31b__aoeV8a9KscDt88zeEX2rI,122
nemo_text_processing/inverse_text_normalization/fr/data/measurements/measurements.tsv,sha256=ca68ELNYTzPXxc0JoyrnQ0O7Nzsy409lJ5YMUc8GDnk,391
nemo_text_processing/inverse_text_normalization/fr/data/money/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/money/currency_major.tsv,sha256=IRV9ag39Ji0zvmAQkHwYalreRkGObHW3Ap1ih4_LtUg,674
nemo_text_processing/inverse_text_normalization/fr/data/money/currency_minor.tsv,sha256=p4CZQ5uw3TvzdUrSljZ-6h3Bdk_7nm11_mrLAUt1EwY,60
nemo_text_processing/inverse_text_normalization/fr/data/numbers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/numbers/digit.tsv,sha256=D51Hr_8uDQuvoyWRnXfbrZdqFZ8YxCd6i_MjiH_oDQM,68
nemo_text_processing/inverse_text_normalization/fr/data/numbers/hundreds.tsv,sha256=qokt63YW07yCzRAtHT152YGPXZmzkBcgE8SdGxpsmHE,10
nemo_text_processing/inverse_text_normalization/fr/data/numbers/teen.tsv,sha256=1d5PTb46ElUnjCC1qVrvx_iSrfmKIyYKNH-uywyesYQ,57
nemo_text_processing/inverse_text_normalization/fr/data/numbers/thousands.tsv,sha256=iZRLfZENwV3sJ7Z3Hp5EPX8GQ5NPkj-UH4i4m-qSL6c,236
nemo_text_processing/inverse_text_normalization/fr/data/numbers/ties.tsv,sha256=IeSqSJw6ITj1GkVpR7N4V0tOLLRtuyKK4Eiv8cZ1axc,146
nemo_text_processing/inverse_text_normalization/fr/data/numbers/ties_unique.tsv,sha256=ShN-M1CUvmo0Ho1cchPSRorxMz-J18Um6F1y8s1W5Ac,470
nemo_text_processing/inverse_text_normalization/fr/data/numbers/zero.tsv,sha256=MbNNjw0tuk8YZZoyd9XRNIzjIOyzOI_F2Cpt1TLndWs,8
nemo_text_processing/inverse_text_normalization/fr/data/ordinals/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/ordinals/digits_root_change.tsv,sha256=QR9oHtWOUgW5sTNxkuax8FO9x6VJrODDjFCIfz3WhD0,318
nemo_text_processing/inverse_text_normalization/fr/data/ordinals/firsts.tsv,sha256=danU_f8mQmQlJv0NwmGrxAdAAcxbcmRXXAolwhYGbYA,51
nemo_text_processing/inverse_text_normalization/fr/data/ordinals/key_nouns.tsv,sha256=7jOY5J1QL5x-G9TS7QxAenXyLoE7RcaoSDq99YiJHoM,7
nemo_text_processing/inverse_text_normalization/fr/data/ordinals/second.tsv,sha256=1C8Xqlwbx1dIYtLt0TLlGGJCulo6aZZowtcnTnhyhFc,43
nemo_text_processing/inverse_text_normalization/fr/data/roman/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/fr/data/roman/digits_large.tsv,sha256=UukptV4nZEpkvKZO_hDRRZTu3rFuQkloBo7UpgD-yp4,46
nemo_text_processing/inverse_text_normalization/fr/data/roman/hundreds_large.tsv,sha256=opwFz80-9kjxgKnvLz_4Ronz6PGSufbDQ4bj98p5sfY,46
nemo_text_processing/inverse_text_normalization/fr/data/roman/ties_large.tsv,sha256=2tj_OzJnnaqeBYXNRazlmzRC2EX77btJiRudUGAIVcE,46
nemo_text_processing/inverse_text_normalization/fr/data/time/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/data/time/hour_to_night.tsv,sha256=mNM98-BuSqn_R0FHP5KzSBZtfXYACT9_VsBSfBARr1s,61
nemo_text_processing/inverse_text_normalization/fr/data/time/hours.tsv,sha256=imNyrvsR0TkbDlFaYjdUITqsDULB0rwWLO1BOxjGGzg,255
nemo_text_processing/inverse_text_normalization/fr/data/time/hours_to.tsv,sha256=vMnLvmRs8VMcFwl3S1hkO7sxd-Kuw8RKfJI1ouUrEE0,129
nemo_text_processing/inverse_text_normalization/fr/data/time/minutes.tsv,sha256=1X12kBS7Rw0C21yAwC1bxsbmouvbvemyoIkxuwTx950,881
nemo_text_processing/inverse_text_normalization/fr/data/time/minutes_to.tsv,sha256=jXPOVNsnPCKwuP75p6OfpHa13HOPqrU3EMQh1kQzsDc,353
nemo_text_processing/inverse_text_normalization/fr/data/time/time_suffix_am.tsv,sha256=lFXy7sKYM5VSXF-JI1bPFuj4kcl81iZLvUc-49W-D_k,8
nemo_text_processing/inverse_text_normalization/fr/data/time/time_suffix_pm.tsv,sha256=ice2ig6oNZ9603_QtSU0Th6NjqajGcpv4O_5bK_KH08,24
nemo_text_processing/inverse_text_normalization/fr/taggers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/taggers/cardinal.py,sha256=FQYAv8OzPRfn8S9LfEKh105cJ7Enn1HuM1Kk2-31njY,11805
nemo_text_processing/inverse_text_normalization/fr/taggers/date.py,sha256=ZBo-gdw8nYZ3qCXgZOP-tHNjy8fBPzYYZhQ1grDpBp0,2625
nemo_text_processing/inverse_text_normalization/fr/taggers/decimal.py,sha256=xlPa2eM0X9KJrfnLcQOruHTXTEuRKYJEWLRFnmyt650,5179
nemo_text_processing/inverse_text_normalization/fr/taggers/electronic.py,sha256=rILvwIaf-UcrPrCmDq3rbtXvI6DYlYX7_VF0mFADiO4,4383
nemo_text_processing/inverse_text_normalization/fr/taggers/fraction.py,sha256=EXeo0f6zK_pjax91dM1cdEsVx-F3HzJOkbMEwzdqq4A,3339
nemo_text_processing/inverse_text_normalization/fr/taggers/measure.py,sha256=3pKiBuAqspwzmrNdzsiAZbH8tMCyigZ8Jj7OzXFcgTg,3388
nemo_text_processing/inverse_text_normalization/fr/taggers/money.py,sha256=FfreluqeNsL6kFcWffyYCr_01n7mLlpHNvE6vyG04sU,5785
nemo_text_processing/inverse_text_normalization/fr/taggers/ordinal.py,sha256=Muin_tVfW3-oHz-sNWhYPvQTmc7tOO_9BexCziMmoeg,3458
nemo_text_processing/inverse_text_normalization/fr/taggers/punctuation.py,sha256=zwlJF079-3-iOluRXPdfIyUtL2pvHdpW2X5SZUGZDF4,1293
nemo_text_processing/inverse_text_normalization/fr/taggers/telephone.py,sha256=suqkESQ2tOTeEpGSLZ7JbW-knChG0FgXBf2bZrNYXqc,4480
nemo_text_processing/inverse_text_normalization/fr/taggers/time.py,sha256=pPicH4XM7iPxOmaOGZphJqczZS3iVVluqvrR_uo28N0,5585
nemo_text_processing/inverse_text_normalization/fr/taggers/tokenize_and_classify.py,sha256=FfzddL9DJDk1LniYodVqwY9eVF3WOUjRkBzkvHDekr0,5781
nemo_text_processing/inverse_text_normalization/fr/taggers/whitelist.py,sha256=rAnFBduPhZMhrKOeoINRvH2iP9IeVx-S_cZ6laXwNjQ,1796
nemo_text_processing/inverse_text_normalization/fr/taggers/word.py,sha256=Uxgd792lsAc9ENTjiJuL-ZU_TloZVIBIo8opLCAG4v0,1220
nemo_text_processing/inverse_text_normalization/fr/verbalizers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/fr/verbalizers/cardinal.py,sha256=pzGEDqSkFY1zfF2tCrRQ-TCpNkc8kK1nWKw6PW9Qmu4,1677
nemo_text_processing/inverse_text_normalization/fr/verbalizers/date.py,sha256=a-sZCsC0T7uOi4HbaitL4QPqBOM8y6cJnOkkkHrb0O4,2544
nemo_text_processing/inverse_text_normalization/fr/verbalizers/decimal.py,sha256=a5o6P8ptScdui-i-MDPGAdod0_P3Ug2RLFsR0MwW5wU,3592
nemo_text_processing/inverse_text_normalization/fr/verbalizers/electronic.py,sha256=SSm-uHrWWvJYWXjqFbes4EWmgbX1So5raaAjkRmvgB4,1661
nemo_text_processing/inverse_text_normalization/fr/verbalizers/fraction.py,sha256=d63_-rB7wgHIFBC4mKULqu43PTQdyzNqsB_1VieyRqo,1944
nemo_text_processing/inverse_text_normalization/fr/verbalizers/measure.py,sha256=rLPOF-j7lEQVbhyTlGU_LdUYpgtT3jx6ccDlFEg2RfU,2567
nemo_text_processing/inverse_text_normalization/fr/verbalizers/money.py,sha256=WPDFAWln0zfjhjldZvDznT-sIXSyIfCV2eXxYuyd3yU,1515
nemo_text_processing/inverse_text_normalization/fr/verbalizers/ordinal.py,sha256=wxjV8xiVU6yya2EUU3ylTgsln6V_9euNJ2ZwUZYgxvY,3199
nemo_text_processing/inverse_text_normalization/fr/verbalizers/telephone.py,sha256=ovFw290cTsJamhr-XECCmRTvSGBbneCCLJ4v5VXZOl4,1258
nemo_text_processing/inverse_text_normalization/fr/verbalizers/time.py,sha256=W34FnMfDf_PmXxOAu06tC98yzcbca3aq-OWQ79PVDp4,2325
nemo_text_processing/inverse_text_normalization/fr/verbalizers/verbalize.py,sha256=g2wPskWHqtJu-ImKomGHMGMpLSlGSwvd5l1juN6Wrw4,3060
nemo_text_processing/inverse_text_normalization/fr/verbalizers/verbalize_final.py,sha256=kQqLzU39vpmDMNzhucHwevv5_25Wg5gLk5swflCdpBU,1758
nemo_text_processing/inverse_text_normalization/fr/verbalizers/whitelist.py,sha256=jXe4tanAIQyx34bBzhikxcIOSYZETn7u_JTN-gCJ0bs,1383
nemo_text_processing/inverse_text_normalization/fr/verbalizers/word.py,sha256=XcQrWbAHNMre8SzKcu8njUIMIfr6UsmjqwxYXBTDGC8,1326
nemo_text_processing/inverse_text_normalization/he/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/graph_utils.py,sha256=HZe6W7VNZgxpIE00XKDpv3DOV3hqrvmnjEMHZwiO6H0,3570
nemo_text_processing/inverse_text_normalization/he/utils.py,sha256=lJ6BBdf6X_z8WyIeSH8k1ym6VceXBLrE_jnA_a4FckA,4550
nemo_text_processing/inverse_text_normalization/he/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/data/measurements.tsv,sha256=cdAV_yzxKiCdWmJbO5sp4qjXR6AYVYILU2MKwR8Ipls,818
nemo_text_processing/inverse_text_normalization/he/data/months.tsv,sha256=GH0kRao5W6QMXzHFTD3-EzwOCcXroH2psdR7-YD7NpE,138
nemo_text_processing/inverse_text_normalization/he/data/months_name2number.tsv,sha256=LrvEunRyml9xOS-1wPodyoyaZ7nivKndaJHu48KxmKw,158
nemo_text_processing/inverse_text_normalization/he/data/months_ordinal2number.tsv,sha256=hvIOLZEygWmr0afkbIwBd02EDg7UAgJ3AuDebcElHxc,166
nemo_text_processing/inverse_text_normalization/he/data/prefix.tsv,sha256=j5UE6SFhqUBygdC0YyqqOQQKEmk1XYPxAv7aAAQNkRY,70
nemo_text_processing/inverse_text_normalization/he/data/spaced_measurements.tsv,sha256=4O4cz3WDT7mceUjl4chRmFMj25Mts2_H91YikMML_VA,389
nemo_text_processing/inverse_text_normalization/he/data/whitelist.tsv,sha256=FQySq7RNLa5-Uj7JGjlPMsAUxGgtKfSPnm6cKndSO3s,513
nemo_text_processing/inverse_text_normalization/he/data/decimals/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/data/decimals/minutes_exception.tsv,sha256=oyEN3jgd6QpDtoqJ1srEui6_RlgX6xKwUAvlJEsApp8,14
nemo_text_processing/inverse_text_normalization/he/data/numbers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/data/numbers/decimal_fractions.tsv,sha256=nuYPaUwN268f4AKR-RMwlkcDRs2JlGNKKBI87BmyfUQ,95
nemo_text_processing/inverse_text_normalization/he/data/numbers/digit.tsv,sha256=Bkif4ufvhV2jwR5DFiPbj3C68UQ3wL71lx2m3Oc4dfI,214
nemo_text_processing/inverse_text_normalization/he/data/numbers/hundreds_exception.tsv,sha256=OG8uCzNGD6TowzlXghjyBJbOyjlZcZoxTtFVC6xDg3w,23
nemo_text_processing/inverse_text_normalization/he/data/numbers/millions_exception.tsv,sha256=ixkiN18rM_BViZ-nY6t2D9GhSlUnWmhQ5ih0jSz8AKI,14
nemo_text_processing/inverse_text_normalization/he/data/numbers/teen.tsv,sha256=6zSG8eTVV_7SA3fPN4oz9NP17OCMXAbv6YzLR8ELC_Q,403
nemo_text_processing/inverse_text_normalization/he/data/numbers/thousands.tsv,sha256=-C3tyDJ4eVKxmRHuCV43qPiFwI34VqnmxI4XFX5-mrw,93
nemo_text_processing/inverse_text_normalization/he/data/numbers/thousands_exception.tsv,sha256=4wFZXU5O3I41UtE0nHt4LK9KSPJ4VaGDU1uR7DoNbVM,23
nemo_text_processing/inverse_text_normalization/he/data/numbers/ties.tsv,sha256=NNUJ7baDq0-bxgPZ8rkuuvyRfEd9LT47cLag110rtAM,112
nemo_text_processing/inverse_text_normalization/he/data/numbers/viable_hours.tsv,sha256=wHoXlP6762mvK1FaEcXuoZgzDMK3dcTQjAkk4S9hahk,184
nemo_text_processing/inverse_text_normalization/he/data/numbers/zero.tsv,sha256=Eyguy0xa7vbVK4VlrWBaHCgfw1G7EzLGzsGaFeVrVqo,8
nemo_text_processing/inverse_text_normalization/he/data/ordinals/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/data/ordinals/digit.tsv,sha256=oTDdmwM05bF2ekN-7pGv-bEK1gZ-Ho-LljjJO6Ws-wc,201
nemo_text_processing/inverse_text_normalization/he/data/time/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/data/time/day_suffix.tsv,sha256=Dji-VvCe1_5f7_6-zo2rGtZ_xcNsTCfN_8WLuXeOvOQ,30
nemo_text_processing/inverse_text_normalization/he/data/time/evening_suffix.tsv,sha256=DWONBZsWOutRveRrHgwX2kqbu8Sz3GDc06RGHJN_ZIs,26
nemo_text_processing/inverse_text_normalization/he/data/time/hour_to_evening.tsv,sha256=9uMJsUHo_01dv0QnYnlRiqn8HmXaIIxPrYlTsgievBw,36
nemo_text_processing/inverse_text_normalization/he/data/time/hour_to_night.tsv,sha256=f7IlYvXHFc9x4w5cSQJ7O2fB4DVhvW_v71g6xzH6YtQ,44
nemo_text_processing/inverse_text_normalization/he/data/time/hour_to_noon.tsv,sha256=V_iZCzppvhJjQANAxwcCQuRlURp_4liskfcQ7AoBHm0,35
nemo_text_processing/inverse_text_normalization/he/data/time/midnight_to_hour.tsv,sha256=oziLx5u5jMMSni9YNaF5zBK8iPSAnLVFNqhVGw2pMxQ,10
nemo_text_processing/inverse_text_normalization/he/data/time/minute_to.tsv,sha256=3qCgL4dKZGciat9FQyRW0rdKWHtQU74t_iGhEtaxR-0,348
nemo_text_processing/inverse_text_normalization/he/data/time/minute_to_verbose.tsv,sha256=4mZuq9RX01YQyknBjXMcqz06Sb2gt149i244MOr9sA4,86
nemo_text_processing/inverse_text_normalization/he/data/time/minute_verbose.tsv,sha256=hzfb3owFwyE3OK8f0IiWQOTVib0WfdW4ty0IpQ6fDoM,102
nemo_text_processing/inverse_text_normalization/he/data/time/night_suffix.tsv,sha256=JhReuvVDDOc9Yvve_IoJLXAZuURPqQUuRIthXJ0k80k,10
nemo_text_processing/inverse_text_normalization/he/data/time/noon_suffix.tsv,sha256=xI3HL_nQcaM4r04OOdeWuYsVqaMt1bSkPxAIu0TBsOM,60
nemo_text_processing/inverse_text_normalization/he/data/time/time_suffix.tsv,sha256=tsgLeqnYTUMZTVT3MjxwEDkwOmkiU753MPQomKo902s,129
nemo_text_processing/inverse_text_normalization/he/data/time/to_hour.tsv,sha256=pmBCVaDphMcfh8yeT8D-MWOuGfObl7EX13bUxqYiz2w,154
nemo_text_processing/inverse_text_normalization/he/taggers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/taggers/cardinal.py,sha256=YMZmOGOMJrf4bvGAGL8qpyNLJVR8pJkBidh7hTsC3uo,6872
nemo_text_processing/inverse_text_normalization/he/taggers/date.py,sha256=_6z1BiZoWO32a69cWfBG_bslE7t2NNKmsjs1S_1ftaI,4405
nemo_text_processing/inverse_text_normalization/he/taggers/decimal.py,sha256=N5OvBMPdywIWElPmqjuab4Q91-AG4Xo5ACY3Lf5J578,6447
nemo_text_processing/inverse_text_normalization/he/taggers/measure.py,sha256=eSyqjfbY4MgHtfR1b0L4jAdYyEUZq1QijHPE8TEDNrA,4675
nemo_text_processing/inverse_text_normalization/he/taggers/ordinal.py,sha256=FE457Tfp4EwQDzyRb_fVi8nkWyL-JbBTyn5uI4fK9vQ,1607
nemo_text_processing/inverse_text_normalization/he/taggers/punctuation.py,sha256=HnM8ZRBdc-VIqdoTqYZ0bnRb2uYJv_86XFHsEjvXOnc,1182
nemo_text_processing/inverse_text_normalization/he/taggers/time.py,sha256=S3x1ZBkIpPGAnAdpvfWJFT-4IDg2i_x8T8uPQ93IMYg,8191
nemo_text_processing/inverse_text_normalization/he/taggers/tokenize_and_classify.py,sha256=suQXWUxUwlakwzbbhDW_nOCwh4TerrVQHx5WpO1LQsE,4715
nemo_text_processing/inverse_text_normalization/he/taggers/whitelist.py,sha256=bSjdud_-SlTgR-tYCHqzOpomS-rsyLodQlOf8K1WaGE,2315
nemo_text_processing/inverse_text_normalization/he/taggers/word.py,sha256=6xQrTwJcevW-WYOSCCocJF40kX5Zk78pHnsSXmykLEM,1271
nemo_text_processing/inverse_text_normalization/he/verbalizers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/he/verbalizers/cardinal.py,sha256=kgX5G6izNl7Xjfd_AvVclR5WJ9G2jyxG4ePdDQ5WpPw,2832
nemo_text_processing/inverse_text_normalization/he/verbalizers/date.py,sha256=3rG2ImdKpb5wcxICfqb2PeVOUYNgrBM-4NQLV3nqQMQ,3693
nemo_text_processing/inverse_text_normalization/he/verbalizers/decimal.py,sha256=x8k5-STyljqpwsAV-OP6PbYuP3Bgeiop1wBW-j7Frb0,3340
nemo_text_processing/inverse_text_normalization/he/verbalizers/measure.py,sha256=ovmFDONHyhYJuOfBiVfBbZgpBXpDPceUMx07EmKfHYI,3613
nemo_text_processing/inverse_text_normalization/he/verbalizers/ordinal.py,sha256=ifwAvpEy9bic1_pxax_mk8_wnovre1dv_WPlFI9_PJc,1370
nemo_text_processing/inverse_text_normalization/he/verbalizers/time.py,sha256=FNPoLTfaVVzs_JLOPzsPNqoTqSK4_G3ZgPdGH6Y1tPI,3993
nemo_text_processing/inverse_text_normalization/he/verbalizers/verbalize.py,sha256=1IdxmQSTwo3PSFUCCi955XCO2UKZsPY0rhpkphmt9ZU,2260
nemo_text_processing/inverse_text_normalization/he/verbalizers/verbalize_final.py,sha256=IvaUIRLg9oJSQTomOixrIaBxahh2vi6mbTiLK-pez-A,1756
nemo_text_processing/inverse_text_normalization/he/verbalizers/whitelist.py,sha256=uCRSJA2cPvdbxzgy94b1pnuLt9N8OAboDyxKh6fnlH0,1837
nemo_text_processing/inverse_text_normalization/he/verbalizers/word.py,sha256=wsUnY-eNQQHN4bN0uLAwd18-mKq0f0dX4151MbT8AWw,1355
nemo_text_processing/inverse_text_normalization/hi/__init__.py,sha256=axAkAD6UTMLA6KKaRxIUgIozqSZ43Jh-Q_a5zqiu33M,923
nemo_text_processing/inverse_text_normalization/hi/graph_utils.py,sha256=OZJnEV2NZGvHqvbJXMWDwLh5H53ANU819seqAjLh6PA,7051
nemo_text_processing/inverse_text_normalization/hi/utils.py,sha256=ToVbB1wtUD50KvwcSk5YtYWpUO4ApumX86VuUPR8PYM,1714
nemo_text_processing/inverse_text_normalization/hi/data/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/address/__init__.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
nemo_text_processing/inverse_text_normalization/hi/data/address/cities.tsv,sha256=bsODcouuulj5tzWYBwVICgdVA3WFMgCWKvLzbxxkJ-E,721
nemo_text_processing/inverse_text_normalization/hi/data/address/context_cues.tsv,sha256=7wfnVzwMwLAyH01Hn2gI9KXmUqpRAPh-wCIckAWc8BQ,1466
nemo_text_processing/inverse_text_normalization/hi/data/address/digit_passthrough.tsv,sha256=7DkyinrKvPYjVNIQXsmWkXThT5IXevBjDMYHly7lZdY,60
nemo_text_processing/inverse_text_normalization/hi/data/address/ordinals.tsv,sha256=YicKp7GNEzSab85FvA17-8SE1esEdfnf80pP2VWscHc,6763
nemo_text_processing/inverse_text_normalization/hi/data/address/special_characters.tsv,sha256=4EJ4deWld3VqtMjcPQVu3dKWqbKFGbABvAuVcfnt_W4,32
nemo_text_processing/inverse_text_normalization/hi/data/address/states.tsv,sha256=Xuhtd_5jpdo5zdnL-_-OFVY8J3LQPKzraJ7fUTQ9XLo,990
nemo_text_processing/inverse_text_normalization/hi/data/date/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/date/century.tsv,sha256=WYnGVX3yUt_kxYFYGQY9nt1bKfwGRYDqsPNq-EwZaGA,178
nemo_text_processing/inverse_text_normalization/hi/data/date/months.tsv,sha256=D3vzAFsMhcUJvEJ404D6MABe4IvN_POR_TY1hSPkISM,229
nemo_text_processing/inverse_text_normalization/hi/data/measure/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/measure/measurements.tsv,sha256=HlbC42DlmG0RtCqSjtumDzDrfGbSXuvNE-ZU6xcNpNM,9415
nemo_text_processing/inverse_text_normalization/hi/data/money/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/money/currency.tsv,sha256=Rd7EykOgmSeCOpt_JhwDflKIWgD6t_SHIHfdOKpkMBY,7396
nemo_text_processing/inverse_text_normalization/hi/data/numbers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/numbers/digit.tsv,sha256=j_xKuTrI-dve9rideO9V5-KxkLJ9sMUyo1tQcyWB4BM,161
nemo_text_processing/inverse_text_normalization/hi/data/numbers/hundred.tsv,sha256=K1fLL16CkJQA7st4i3YdJ1bu3WRK3kL0LhnUjuO4GZI,6
nemo_text_processing/inverse_text_normalization/hi/data/numbers/labels_exception.tsv,sha256=TdOQ-W7zjSBD-F0dpmqDYy1wPUt5SNimyAJTdwWMt08,40
nemo_text_processing/inverse_text_normalization/hi/data/numbers/paune.tsv,sha256=FRDvy6Cj-VDXN2snqXZJTytS50XY-_7fbnqZvfSZOZQ,5895
nemo_text_processing/inverse_text_normalization/hi/data/numbers/teens_and_ties.tsv,sha256=HjhzSyyR55938gPkUXtLcqmuot9EKITr3JGMTrYg5xQ,5760
nemo_text_processing/inverse_text_normalization/hi/data/numbers/thousands.tsv,sha256=6zfJCAjpbMEOILYkyq5wfn-jBr8YVDDZoVlim-0JJe4,91
nemo_text_processing/inverse_text_normalization/hi/data/numbers/zero.tsv,sha256=RJgGkPt1cv1vF-4zYsG1xq98dfnRraJv02H-bTOU-4E,19
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/digit.tsv,sha256=g8-XemVyG05z1xGk-_LNxh9ycchkRUrPqxE6U2UAku0,143
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/digit_fem.tsv,sha256=xwl0xN2cKa1RMddhVVX_UAt2YH4SLvKl9_HlZxjJRhU,143
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/hundred_digit.tsv,sha256=VmZaqZcli0hgT1vVhfpgboW9q5r_21PFsRtq8hIWStI,323
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/hundred_digit_fem.tsv,sha256=pExy6Q6mtMlC3I4Vef2GfPr4JNyX-VEySXErpgWNeR4,305
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/morph_features.tsv,sha256=ap29-g-NVERWwDo1CbZMW_f7NFelRAWPDx-kgB2NQU0,54
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/suffix.tsv,sha256=KlN2thuUjw3V_DZwyZRD-MQBcDMy40HnPuj3AgRo6l4,36
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/suffix_fem.tsv,sha256=EPKtA-fMomhpC-aegRyCK7Ep0p6sojDnDhlRwJF6sgQ,16
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/teens_and_ties.tsv,sha256=BDJZ9hSgpJ3NlmTnh-i0O1X_NLqrj-zPXAMgiKJ1_4U,40
nemo_text_processing/inverse_text_normalization/hi/data/ordinals/teens_and_ties_fem.tsv,sha256=B8RgCakdmAPcZG-2VD3EDptFXlD60Y3kPm2ucC0tCqc,37
nemo_text_processing/inverse_text_normalization/hi/data/telephone/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/telephone/context_cues.tsv,sha256=1ypUqlVNkHUCfbp1g168CFQCyCs9xdIV66mCY_Ulv6w,336
nemo_text_processing/inverse_text_normalization/hi/data/telephone/country_codes.tsv,sha256=CIjreVj1l5Xv46mdGhgDrvkB2XTnrT7_ihcmB72022A,20
nemo_text_processing/inverse_text_normalization/hi/data/telephone/eng_digit.tsv,sha256=ToWTfQ332HpAhBiygnnzDPN2gaYhdBjaTXxGjc2AQY0,80
nemo_text_processing/inverse_text_normalization/hi/data/telephone/eng_zero.tsv,sha256=rVfCYVmQiJgQsk9TPc2AGynJ-kGFSzWgvSvCT2M0QoI,8
nemo_text_processing/inverse_text_normalization/hi/data/telephone/teens_and_ties_eng_to_hin.tsv,sha256=amK7d3ZpDoRjmWFmwYbQ98Cp5ciungnHmLgJep0bwu4,1610
nemo_text_processing/inverse_text_normalization/hi/data/time/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/time/hour_for_paune.tsv,sha256=RzoxqBV_O0sVG6sXM52dvrSG1EEIR-CN8e6Ygh-FEsk,213
nemo_text_processing/inverse_text_normalization/hi/data/whitelist/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/data/whitelist/whitelist.tsv,sha256=XBvRAB5H6vFlw3buoTlt9LrZeI69T2zud6wLXYCaM_I,198
nemo_text_processing/inverse_text_normalization/hi/taggers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/taggers/cardinal.py,sha256=diR4I1HtE-rkk3sc2uGajisL0Kho3S8ZWQmDVqlHezs,10301
nemo_text_processing/inverse_text_normalization/hi/taggers/date.py,sha256=VFlmzgbIdrXLpeXdgR1qd1KO6KEk4GoQl8z0bn2jjgI,5066
nemo_text_processing/inverse_text_normalization/hi/taggers/decimal.py,sha256=uD35fPGT5UWHPau8Iq98vgBrMldeHxIEInnEUv8OnnA,5353
nemo_text_processing/inverse_text_normalization/hi/taggers/fraction.py,sha256=oQAr5U-uEvIfuboGkWE1NJQ20_os9hHQU0NGsszNgWA,6207
nemo_text_processing/inverse_text_normalization/hi/taggers/measure.py,sha256=i6dUi75zTYSUXo4fXSPT7dONXp8oTAY-M4RZZ-xF9TI,9987
nemo_text_processing/inverse_text_normalization/hi/taggers/money.py,sha256=wrOhN8gGuG16Np84Wxut80JEv-43vonhjWDRch9JNsc,9563
nemo_text_processing/inverse_text_normalization/hi/taggers/ordinal.py,sha256=-1Rk9783Ix8CNl4sBn0VEBrWPeWmLKVROz3PUG9Z_54,3627
nemo_text_processing/inverse_text_normalization/hi/taggers/punctuation.py,sha256=KHNu4YEYTsqn-mz3Md2uL_WTfUOOxXK76nfvICPkDNU,1231
nemo_text_processing/inverse_text_normalization/hi/taggers/telephone.py,sha256=527UhbqCEpBP4I6MZm32xc2naVF7B41KJziAAsevTi0,5936
nemo_text_processing/inverse_text_normalization/hi/taggers/time.py,sha256=HcGVtLS3ZJygaoLfwC2CrTmE9AmBaPJrPHk5QMEMrSk,5652
nemo_text_processing/inverse_text_normalization/hi/taggers/tokenize_and_classify.py,sha256=ArRtkRfufFLoeHuMIMoYm2EcsiMyD6j3mcgniwxPyHc,5632
nemo_text_processing/inverse_text_normalization/hi/taggers/whitelist.py,sha256=OhW5IX1AdNga7wdBQKEDiWQebwoXTVhMIWZ-SePneNY,2238
nemo_text_processing/inverse_text_normalization/hi/taggers/word.py,sha256=qPktm5LfNtNIDMXCNzIdRdZsprZnEIvcwynAw-WrzWg,1263
nemo_text_processing/inverse_text_normalization/hi/verbalizers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hi/verbalizers/cardinal.py,sha256=zDGh2yAEtCRKuVB8P8QJtp5v7HW4qIqZfiqXpvEywB8,1695
nemo_text_processing/inverse_text_normalization/hi/verbalizers/date.py,sha256=eCUYVYKyMixi4c0izkaGjlFIqPOJ43A2-yIRvg_M5nI,4883
nemo_text_processing/inverse_text_normalization/hi/verbalizers/decimal.py,sha256=eTN8gEy3ZVI0wqzc7BV1OPl_gTLIwtfIzGy3xMBUvPo,2377
nemo_text_processing/inverse_text_normalization/hi/verbalizers/fraction.py,sha256=_q5weFyx6s7L9E7N3hksJiCL049nFzhHLpe2MdHL-AQ,1981
nemo_text_processing/inverse_text_normalization/hi/verbalizers/measure.py,sha256=sqrRianrFJB8GyizPx8xpCpWubXs-hl_uABQ5FOQl_I,3425
nemo_text_processing/inverse_text_normalization/hi/verbalizers/money.py,sha256=R7KRNqyzxZqOxyMe2g9cyi1PjXUonbEIEo30HsgscnI,1728
nemo_text_processing/inverse_text_normalization/hi/verbalizers/ordinal.py,sha256=Ix_djG8t5ume9V9A-bE2Sxw6y3SbLKcr8qQlOwYrLZ4,1655
nemo_text_processing/inverse_text_normalization/hi/verbalizers/telephone.py,sha256=yqnx93XZYK0vgjXezdTJn-DxQFE9Msl7gYHQ_wd2gtw,1997
nemo_text_processing/inverse_text_normalization/hi/verbalizers/time.py,sha256=vYxVgHkpAt-LA6XnYFIYSSET83mPlpreX3KHjt8lLTs,3258
nemo_text_processing/inverse_text_normalization/hi/verbalizers/verbalize.py,sha256=ugSrfSHPch3L6mqzVId3lEYcTdRpk11gZcX40eDyYiY,3050
nemo_text_processing/inverse_text_normalization/hi/verbalizers/verbalize_final.py,sha256=IPd6KZCHW1tvswB-lzEqGgnCsy4KS7VMEEcgN8dkBFw,1887
nemo_text_processing/inverse_text_normalization/hi/verbalizers/whitelist.py,sha256=Y095HGYTjavUq30j_enCJLJp-R6pUgzRO6F7GlVRHSE,1446
nemo_text_processing/inverse_text_normalization/hi/verbalizers/word.py,sha256=cCn6NnTPRh5jBDf2RTou2oNBfyvDjTPbmH2L8dnlHL0,1369
nemo_text_processing/inverse_text_normalization/hi_en/__init__.py,sha256=hR1rYZNU8-cNziU7BqSmmeepQqyl0BXcEebHnUTh_sE,932
nemo_text_processing/inverse_text_normalization/hi_en/graph_utils.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
nemo_text_processing/inverse_text_normalization/hi_en/utils.py,sha256=W8Rhq9RX8zk8f2fMwjvc6du5YWiCAKKyzZjYvYqYLuc,843
nemo_text_processing/inverse_text_normalization/hi_en/taggers/__init__.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
nemo_text_processing/inverse_text_normalization/hi_en/taggers/tokenize_and_classify.py,sha256=n2VY51V3oDLpn16awL-C2_aLGngFmb6N8EWbfxQIXWo,9221
nemo_text_processing/inverse_text_normalization/hi_en/verbalizers/__init__.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
nemo_text_processing/inverse_text_normalization/hi_en/verbalizers/verbalize.py,sha256=aqEJYpj3cRRZEfg8iZIQX40nZe-w2O-0g3sUPhzxz-o,5108
nemo_text_processing/inverse_text_normalization/hi_en/verbalizers/verbalize_final.py,sha256=gBoTdCnGFLHxtqB2WanXvyhUrS5068GPNkTl8qjpQPs,1740
nemo_text_processing/inverse_text_normalization/hy/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/inverse_text_normalization/hy/utils.py,sha256=hhScj4rZLs6m_LB4_Kitqe1RTcIBX4lfE3P1J4xNu0I,1645
nemo_text_processing/inverse_text_normalization/hy/data/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hy/data/currency.tsv,sha256=UtMh57TwsBNgh8vg_J1wSG_XmLO9mD3d7DSTcf6mtkQ,1375
nemo_text_processing/inverse_text_normalization/hy/data/measurement_dates.tsv,sha256=--8z65gBgPYSxeLauz2IvpSQtez3H3BTH8zC4Qch1Zg,69
nemo_text_processing/inverse_text_normalization/hy/data/measurements.tsv,sha256=U_GlIkUZx5Ntm31rRXU516Xyx3FVpx8uaeb1GWhq_bg,1121
nemo_text_processing/inverse_text_normalization/hy/data/whitelist.tsv,sha256=oR2EARJctQ_ppZCLZHcgl1SK5IMfo73FLcocm52Tv1E,305
nemo_text_processing/inverse_text_normalization/hy/data/numbers/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/inverse_text_normalization/hy/data/numbers/digit.tsv,sha256=E4mW3-x5SRBoDoF2V5N6KNzSlpX8SzIrR_Q7J2AXirc,114
nemo_text_processing/inverse_text_normalization/hy/data/numbers/digits_no_one.tsv,sha256=16nTcEK6dzjDMJ2ui78d-zXYkGc1z5hz58sj2mRjNbg,105
nemo_text_processing/inverse_text_normalization/hy/data/numbers/ties.tsv,sha256=DUOp4mAh9A-2OcPm57PW99SBiaBUcGLhdPI7rNk-Oso,157
nemo_text_processing/inverse_text_normalization/hy/data/ordinals/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/inverse_text_normalization/hy/data/ordinals/digit.tsv,sha256=92PFy0nL6JSfyA7LFn42csgZd1rTTtKKfABnJYDRvXM,239
nemo_text_processing/inverse_text_normalization/hy/data/time/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/inverse_text_normalization/hy/data/time/hours.tsv,sha256=f50rGbAuWPcs1cc8GqUL2zEr9U1JYaJdyYswgMzqH4M,448
nemo_text_processing/inverse_text_normalization/hy/data/time/minute_to.tsv,sha256=1MUaWI726LrpwnfszcllLwGTcl5DFneNoJ3-uGK2DVA,336
nemo_text_processing/inverse_text_normalization/hy/data/time/minutes.tsv,sha256=BoCyA1HYysa67OwSW1ER71m2_PpKVDiRIp9iPS4oJsQ,1353
nemo_text_processing/inverse_text_normalization/hy/data/time/minutes_to.tsv,sha256=vrS2r-y04fVwM5wM5NbgfkSId5CC6GJA6boiwYqkzTo,354
nemo_text_processing/inverse_text_normalization/hy/data/time/to_hour.tsv,sha256=vMnLvmRs8VMcFwl3S1hkO7sxd-Kuw8RKfJI1ouUrEE0,129
nemo_text_processing/inverse_text_normalization/hy/taggers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hy/taggers/cardinal.py,sha256=s_A6543bv3vO3ULrZHWiSX2s0xbLPiw31u1ssxoqulI,4144
nemo_text_processing/inverse_text_normalization/hy/taggers/decimal.py,sha256=2HTullk2uLEPtbk0J11C7p1HJVvh9deMYWIsZUbdgXU,4632
nemo_text_processing/inverse_text_normalization/hy/taggers/fraction.py,sha256=5Lue3HzPtRHEKYcuUuTSPWMeNG_bOVjvEDAFUJruTs4,1866
nemo_text_processing/inverse_text_normalization/hy/taggers/measure.py,sha256=yTvQGuOj5dTBjCn_8FYa4Zr-2u7r9W817D8tALH3Dgw,4357
nemo_text_processing/inverse_text_normalization/hy/taggers/money.py,sha256=NqNrVwdtSn9CwMS2qok1iuQASxYm2RfjpU2biXa6xRA,2424
nemo_text_processing/inverse_text_normalization/hy/taggers/ordinal.py,sha256=b_hV242e0H4M2tySVf6AXne8-n3aoJSUx054FB0Jynw,2087
nemo_text_processing/inverse_text_normalization/hy/taggers/punctuation.py,sha256=I7nQyd2xo9e_3lYkCqvHrrk4ZHEws8923N1KBoShP68,1204
nemo_text_processing/inverse_text_normalization/hy/taggers/time.py,sha256=g_fUTYUpC9p49EDMP13KqmVcpp54rCYUMM49wtR2b1k,3289
nemo_text_processing/inverse_text_normalization/hy/taggers/tokenize_and_classify.py,sha256=kZw4li63WlZV1efVrvSM-prWlp2iBA7rQydsECnRFIg,4984
nemo_text_processing/inverse_text_normalization/hy/taggers/whitelist.py,sha256=6Ixx8pI1JgyEtdHFckspxljlhnA-DrKwvUPJ_1hDShY,1541
nemo_text_processing/inverse_text_normalization/hy/taggers/word.py,sha256=7Yoq5NKNLKWFDya4_JtSz6NB5fHsUBPIIHMlO8dl7z8,1263
nemo_text_processing/inverse_text_normalization/hy/verbalizers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/hy/verbalizers/cardinal.py,sha256=PmEpBUu-8C4MQzFew_gVWbdec0OOEPAF3JqVfcvYzck,1366
nemo_text_processing/inverse_text_normalization/hy/verbalizers/decimal.py,sha256=s2Hmw5_-0Agm14maGCzqhGYBuBnf30nDQ4HpV5iIR1A,2261
nemo_text_processing/inverse_text_normalization/hy/verbalizers/fraction.py,sha256=FaEJjZ8s0s1mSyR2503T_nSPqz8EVMjO7eTusWN2NaM,1568
nemo_text_processing/inverse_text_normalization/hy/verbalizers/measure.py,sha256=sCUyIy4B5qnURbLPw79qvFRB9EYOlK9uKhlfRa7jgD4,2363
nemo_text_processing/inverse_text_normalization/hy/verbalizers/money.py,sha256=AddOU1sDgESy3s5MtuNqOysEwePT9uLi2ZNjTa5f7Hc,1541
nemo_text_processing/inverse_text_normalization/hy/verbalizers/ordinal.py,sha256=Xp57PJ8eKbILvwONvcEFlueP6on3eOYrrvKe6fwffv0,1662
nemo_text_processing/inverse_text_normalization/hy/verbalizers/time.py,sha256=_ZXCINFJ8DnbwuxT1ZQHlMGhUXzD6ax6ua4tz7NzzY8,1917
nemo_text_processing/inverse_text_normalization/hy/verbalizers/verbalize.py,sha256=Gf70o71I4Ayey0pdaZrFiKzLkKsIcHtowYC6RbnIuOE,2327
nemo_text_processing/inverse_text_normalization/hy/verbalizers/verbalize_final.py,sha256=sa_06XlxrdtFGdhZorp96ah6_ExiDYFLp8voZrO1F5k,1817
nemo_text_processing/inverse_text_normalization/hy/verbalizers/whitelist.py,sha256=EU34c09kB7Yo7gcMtGdiGpd_IcbsejdPDj6_uABEUeQ,1390
nemo_text_processing/inverse_text_normalization/hy/verbalizers/word.py,sha256=8VtxIyA69VePZeu28TmYL_SqqK042I-fFxJbnNPBXPA,1348
nemo_text_processing/inverse_text_normalization/ja/__init__.py,sha256=MaQQLCpaNak0jpc5Nt93JJ2Y1dsVJ-7PN6jltdPQkec,923
nemo_text_processing/inverse_text_normalization/ja/graph_utils.py,sha256=jbWJPB2-Qsuz22BoBupj4Lp_TL_F-dO3dTAODhgzA-g,9524
nemo_text_processing/inverse_text_normalization/ja/utils.py,sha256=46-UXzLbB5qALZWVce0LdNH4ghoay1g4xQcj9OL7HV0,1065
nemo_text_processing/inverse_text_normalization/ja/data/__init__.py,sha256=MaQQLCpaNak0jpc5Nt93JJ2Y1dsVJ-7PN6jltdPQkec,923
nemo_text_processing/inverse_text_normalization/ja/data/date.tsv,sha256=sicN7FI8cJiPlr_Vs1GSaG811MK71XahcU6ZWwArKOc,176
nemo_text_processing/inverse_text_normalization/ja/data/day.tsv,sha256=LsYjvnaAWhkokz9Vig38-SgQsFs07qk4Sdi3sexOTKk,300
nemo_text_processing/inverse_text_normalization/ja/data/months.tsv,sha256=YOgwDiGciiG3HM5q3bhIwptwDvogSGPI8tXz3j12NTo,80
nemo_text_processing/inverse_text_normalization/ja/data/time_hours.tsv,sha256=dDqzdU5K_U7yP4vM9NwWbsCBpiqLL8C2xmcKi8toTaE,218
nemo_text_processing/inverse_text_normalization/ja/data/time_minutes_seconds.tsv,sha256=PWSbxa_cagUO9gFVW9u_15Xo6duHDS1NKvDTawWsmE8,668
nemo_text_processing/inverse_text_normalization/ja/data/whitelist.tsv,sha256=k3Xa7s6roeolxEJq-9NHUoUUFaq04vg84Bs0aqzS7bU,2652
nemo_text_processing/inverse_text_normalization/ja/data/char/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/ja/data/char/charset_extension.tsv,sha256=up5ayqZ3Ob2bIqDFSFSFTqxZYDHUmCeoryxq3lMqIR4,24
nemo_text_processing/inverse_text_normalization/ja/data/char/charset_national_standard_2013_8105.tsv,sha256=7GLEH98Fh_T2L_UhgD8LOQzPps7XBbT3ZM0KKK1etAQ,32616
nemo_text_processing/inverse_text_normalization/ja/data/char/fullwidth_to_halfwidth.tsv,sha256=VlJlIguiqFXpK0rEdGsV5kHNTR-kug9nujpRj4-PHNY,553
nemo_text_processing/inverse_text_normalization/ja/data/char/oov_tags.tsv,sha256=abb89vR-aohg7bqDhd6ZHvFNWRke07wjTkj61jOHkak,13
nemo_text_processing/inverse_text_normalization/ja/data/char/punctuations_zh.tsv,sha256=6sCGXUOEzHEAir4ZbERrJsuxLEhmvnVqzSK4ZS0WQak,288
nemo_text_processing/inverse_text_normalization/ja/data/char/upper_to_lower.tsv,sha256=76YtZWl-x9vHqi93QrPB_HoyvY-GC5Czwe9NN47b_h0,72
nemo_text_processing/inverse_text_normalization/ja/data/numbers/__init__.py,sha256=MaQQLCpaNak0jpc5Nt93JJ2Y1dsVJ-7PN6jltdPQkec,923
nemo_text_processing/inverse_text_normalization/ja/data/numbers/digit.tsv,sha256=iKE5WxP1RdshVVLZtb1lV6mSkzimQTDxGqdUyfaQwDQ,54
nemo_text_processing/inverse_text_normalization/ja/data/numbers/teen.tsv,sha256=NMY6x1uZ1mjxDUSRy_htGHkINjI-WadNTqYMPgXDA3Q,380
nemo_text_processing/inverse_text_normalization/ja/data/numbers/ties.tsv,sha256=3I5ezWKqac9qaP7Pmz6PLXdbqEDQhprvrPlmzvaHd1k,450
nemo_text_processing/inverse_text_normalization/ja/data/numbers/zero.tsv,sha256=YOM6i_sv9nwq-6m-x-lfd4-QvvGO5pLOL6oKiEU22lo,42
nemo_text_processing/inverse_text_normalization/ja/taggers/__init__.py,sha256=MaQQLCpaNak0jpc5Nt93JJ2Y1dsVJ-7PN6jltdPQkec,923
nemo_text_processing/inverse_text_normalization/ja/taggers/cardinal.py,sha256=_dTlnzsdxyKuZ-VV3agHabp1af2vwv71b1KMnBmZziQ,7597
nemo_text_processing/inverse_text_normalization/ja/taggers/date.py,sha256=ZUhC9IYZztIrlsBh0_eCwHcoGR-mwL3otcz8IaQx6CM,4667
nemo_text_processing/inverse_text_normalization/ja/taggers/decimal.py,sha256=STar8vEL4p7LZmIfzWZw2paDiwNeEEI6k_4pMGVIa7Q,2751
nemo_text_processing/inverse_text_normalization/ja/taggers/fraction.py,sha256=-yMCAhOxZewWgntNngIyWRRBq-l4589bs8BlLZkAh6I,4015
nemo_text_processing/inverse_text_normalization/ja/taggers/ordinal.py,sha256=SatEDUPMCvkAPQS4bXA5dUFTgeSLj5ve5LqH83TsT6Y,1484
nemo_text_processing/inverse_text_normalization/ja/taggers/preprocessor.py,sha256=b98UgcmxNVuBvbMHz95iP5t5jV5sZvT67nna2MSH34g,1844
nemo_text_processing/inverse_text_normalization/ja/taggers/punctuation.py,sha256=aby5LtiJqQWtaagHYJnbyOdwicM0MHmRdnGgmXtpq-U,1352
nemo_text_processing/inverse_text_normalization/ja/taggers/time.py,sha256=nbSO4XHQyjSjEpOBBeafm3VYSpG7f7HnEj2wEcowQnU,2899
nemo_text_processing/inverse_text_normalization/ja/taggers/tokenize_and_classify.py,sha256=NDUeSYpMfEnV7nH6O9GnhUFwuYzYdKbOrsY8lrtFrdY,4529
nemo_text_processing/inverse_text_normalization/ja/taggers/whitelist.py,sha256=UR7hJ-Qxa3_klnMMRnCPqvvDGuaRiELLrxuiL7_uRNY,1391
nemo_text_processing/inverse_text_normalization/ja/taggers/word.py,sha256=Mf1cEWQPrSZQkraqI4qUk6jIzEws1AHwDjF4mkUnOPc,1187
nemo_text_processing/inverse_text_normalization/ja/verbalizers/__init__.py,sha256=MaQQLCpaNak0jpc5Nt93JJ2Y1dsVJ-7PN6jltdPQkec,923
nemo_text_processing/inverse_text_normalization/ja/verbalizers/cardinal.py,sha256=x7ESPK_cfTtAv9E903n-j-nROcANtisLoA3-1XukOOQ,2080
nemo_text_processing/inverse_text_normalization/ja/verbalizers/date.py,sha256=th3SHktwOwfY4cUeJdkCrM_HB-B4aI_C8KdL_oujjYI,2773
nemo_text_processing/inverse_text_normalization/ja/verbalizers/decimal.py,sha256=CPhdKQj-8FW23R-M1qSoNPtvawkhfDFUwhHPHtvsJK8,2359
nemo_text_processing/inverse_text_normalization/ja/verbalizers/fraction.py,sha256=CBJCOfrmqKDRxR1AaN3zkorAOTEylOJ8JJ6YsAqZ_IU,2496
nemo_text_processing/inverse_text_normalization/ja/verbalizers/ordinal.py,sha256=FYBspr3pF8PRQhdNfzCVRrji5aMmQqZESKxNi1SaPQI,1360
nemo_text_processing/inverse_text_normalization/ja/verbalizers/post_processing.py,sha256=EegaA3tCGXc-ao336V13AkqLzXZA4IJrXcTPo60jbp0,4541
nemo_text_processing/inverse_text_normalization/ja/verbalizers/postprocessor.py,sha256=1ilNXcwOIb06rGQr77Zm_SoGrV8UM41HMF_MsnM5HnE,3065
nemo_text_processing/inverse_text_normalization/ja/verbalizers/time.py,sha256=RAkRhuxLo5Wemz0pq8pL-fgshaBcuHFo4MfcHpYL-Fk,2855
nemo_text_processing/inverse_text_normalization/ja/verbalizers/verbalize.py,sha256=lVYaKBg51LaPxy7xXTzv6-RvZyzUNoZZYWAiSgVWhUo,2414
nemo_text_processing/inverse_text_normalization/ja/verbalizers/verbalize_final.py,sha256=YYEXLYN9r4U8OzNsLQa7yZabh4LxGA_a_zG00xYLLOY,2607
nemo_text_processing/inverse_text_normalization/ja/verbalizers/whitelist.py,sha256=nEFBMbB_s_34Ae46t8-JYOAmuFgVxrzgCKBz-Dl4poU,1211
nemo_text_processing/inverse_text_normalization/ja/verbalizers/word.py,sha256=DaNCs1Fd3EKKtDN4AU2Av2etwUB4wx3wmACwvJ9SR6M,1131
nemo_text_processing/inverse_text_normalization/ko/__init__.py,sha256=cEaXyBFdFHW7GUpMSx5-4VH4ign4fdGx2cD4weTSBSQ,923
nemo_text_processing/inverse_text_normalization/ko/graph_utils.py,sha256=0a6d8-POA7tUzhi3WhZeUwX7pZL49dpQEO_GyImdzrI,9232
nemo_text_processing/inverse_text_normalization/ko/utils.py,sha256=hIyv1WzLPgPkmrKtVENFjb3p---GvmYOz6xPoZoLLh4,723
nemo_text_processing/inverse_text_normalization/ko/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/ko/data/currency.tsv,sha256=a3HXCFxO1A-MfLSPKTV5lMIEAsihAyJEqgXkwmvCf0I,83
nemo_text_processing/inverse_text_normalization/ko/data/measure_units.tsv,sha256=IFzR-6foibgjnO20_bfXu2hAW54RTC2beG1_VKvJ6Is,852
nemo_text_processing/inverse_text_normalization/ko/data/months.tsv,sha256=gCTdUZD6pT2qO5JmRzFA5xyHh6mA5YPDTa5MMcq3_34,80
nemo_text_processing/inverse_text_normalization/ko/data/whitelist.tsv,sha256=pbSy7UvN1lZXOMpkE2L4A2oKDEB-w9FtmYdIcyHkio0,410
nemo_text_processing/inverse_text_normalization/ko/data/numbers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/ko/data/numbers/digit.tsv,sha256=Aa_Fqi5eAgB3Mq6WbogMfP53T2kdWILPenXKKRqdpTw,53
nemo_text_processing/inverse_text_normalization/ko/data/numbers/zero.tsv,sha256=gbIlU4U6mRYAzg9Z_LKN3D4D-FnZIRqoYeRy-x8m-mI,5
nemo_text_processing/inverse_text_normalization/ko/data/ordinals/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/ko/data/ordinals/counter_suffix.tsv,sha256=vUNhzHdtYZ1yiEs_VYCDSDIXKokbooH7TWPvnTyOO-0,88
nemo_text_processing/inverse_text_normalization/ko/data/ordinals/digit.tsv,sha256=zq3JAG7JW1ZklqkAtPTLWYLIlk2RWUS1DnJitYNyNt4,68
nemo_text_processing/inverse_text_normalization/ko/data/time/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/ko/data/time/ten_prefix.tsv,sha256=Vhejr0Z4R7YEvjE33_sA7e9KO6o07vy-jU18J4mTmoU,23
nemo_text_processing/inverse_text_normalization/ko/data/time/time_hours.tsv,sha256=woV3DsVe7WopG_JuigRe-fA_RQ6qXdXR32Qg5L9p9-I,229
nemo_text_processing/inverse_text_normalization/ko/taggers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/ko/taggers/cardinal.py,sha256=uhMgKbBzmoT7k2oXbSKAN-1Hi-b_o2UKxa5V7WWcOuU,5375
nemo_text_processing/inverse_text_normalization/ko/taggers/date.py,sha256=n-0GXPdW1_ZjH70SeMu_eXbGaDN9dnZmkjRRbmTlEDk,2418
nemo_text_processing/inverse_text_normalization/ko/taggers/decimal.py,sha256=S21ysbEVBUVxsfbV4MmWJHL0Y9tWm0s8U2R5NTYXIHc,3021
nemo_text_processing/inverse_text_normalization/ko/taggers/fraction.py,sha256=Ai0yixLqquvKoJ_kTLJtYLqqCzSpAaolLLcTHpRpNeU,5518
nemo_text_processing/inverse_text_normalization/ko/taggers/measure.py,sha256=1xhJv3040XQjnHwc5twpvXiv2Ahv_U2d3kjUx1scjOM,4776
nemo_text_processing/inverse_text_normalization/ko/taggers/money.py,sha256=Osht7Mh_vcgVq79vgcvvhFU6YQpDrIVJJdRjeITSw4M,1867
nemo_text_processing/inverse_text_normalization/ko/taggers/ordinal.py,sha256=w1dHMRAsCb2e_RJj9vRT2SHeSrf-QfVGoK_20mYg8Tk,5830
nemo_text_processing/inverse_text_normalization/ko/taggers/telephone.py,sha256=Oq4-0Y9EDVfuQb2R-tl1UbE5ui5g3BzkfE1TcO8e-AE,2047
nemo_text_processing/inverse_text_normalization/ko/taggers/time.py,sha256=vjRxpykWNdANNPlwuNRsicQGvrvkWgaWlVef0pXmzUA,4244
nemo_text_processing/inverse_text_normalization/ko/taggers/tokenize_and_classify.py,sha256=8oMIiHCyiJA1Q9aPkRKgV4gw2f7pTIQ316n6MjjdnX4,5283
nemo_text_processing/inverse_text_normalization/ko/taggers/whitelist.py,sha256=AZ9dOtaOj9HXH9suXBOSRjxvtlC8cejuZD9e26BJnGs,1391
nemo_text_processing/inverse_text_normalization/ko/taggers/word.py,sha256=-YigIBfQD-ODwWV-bRxCzdN3mJyE-yaSnbrWU5Yd9Y8,1249
nemo_text_processing/inverse_text_normalization/ko/verbalizers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/inverse_text_normalization/ko/verbalizers/cardinal.py,sha256=YCZCfuCSR8yDFGa1RUccF5D7kcVlV0rKnie2Js-8LGI,1670
nemo_text_processing/inverse_text_normalization/ko/verbalizers/date.py,sha256=S7p3VbOzzIGlXjBGOSTarVXKQGja6_rbDAdLsBL6D44,1994
nemo_text_processing/inverse_text_normalization/ko/verbalizers/decimal.py,sha256=_KPu0G0LJ--VX66YCbnrlbr8zbaKCX9Tue1W9pV1MsY,2176
nemo_text_processing/inverse_text_normalization/ko/verbalizers/fraction.py,sha256=Atky1u2TDZa5UpUnP2AZoMHZR3DDuP-7AlRn65qxZIg,2818
nemo_text_processing/inverse_text_normalization/ko/verbalizers/measure.py,sha256=R8JevBhwmjyaxhncBWnET5MyCKuvIobgZ7dYSLkNEH8,2862
nemo_text_processing/inverse_text_normalization/ko/verbalizers/money.py,sha256=54QpsORns_JOkxFpte6d9YKemrDF4wHnuolglW0eymA,1770
nemo_text_processing/inverse_text_normalization/ko/verbalizers/ordinal.py,sha256=xH5w3sD1_nzXWL6d93DoPUuVtvfiKQAiMOm5fumSRmI,1891
nemo_text_processing/inverse_text_normalization/ko/verbalizers/telephone.py,sha256=vnUy0PDg9xi0VNFBNNThu5Fh4tc9Jgdp8PCJphmQN74,1280
nemo_text_processing/inverse_text_normalization/ko/verbalizers/time.py,sha256=DDGjiW9cn3sDAoYvjTYI_Z982GVRs2uAfvZOuQPq2FQ,3545
nemo_text_processing/inverse_text_normalization/ko/verbalizers/verbalize.py,sha256=8j7zhnPOkcsmSw4gsdXi4GDbR3pSYKwqk9zLH84r2qA,3184
nemo_text_processing/inverse_text_normalization/ko/verbalizers/verbalize_final.py,sha256=QqYSRnks7Mp2F2w7WMmbzKAoOFOEGYphiuka64DXDQ0,1787
nemo_text_processing/inverse_text_normalization/ko/verbalizers/whitelist.py,sha256=6NohUwolBZKXlDtxfU4oSKr1grNEBM1eXb5CmUOQ8Fg,1187
nemo_text_processing/inverse_text_normalization/ko/verbalizers/word.py,sha256=x-i-8_yhCx0rC3DjjNkZ89tzrTm64UREw8WUYhZtx6E,1355
nemo_text_processing/inverse_text_normalization/mr/__init__.py,sha256=hILUH_9SvEGq0pmwS3_yPzwM4d7vNINExABdeedMFxM,923
nemo_text_processing/inverse_text_normalization/mr/graph_utils.py,sha256=6BCtasTtPVyDJHMFm-LMu5T3QXQUcw6Jd61kPSct6Jk,6744
nemo_text_processing/inverse_text_normalization/mr/utils.py,sha256=hhScj4rZLs6m_LB4_Kitqe1RTcIBX4lfE3P1J4xNu0I,1645
nemo_text_processing/inverse_text_normalization/mr/data/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/mr/data/date/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/mr/data/date/dates.tsv,sha256=wD0ImySBu4n5VaKP53PztUw4RfDeZXL22Ww4h63uz_g,616
nemo_text_processing/inverse_text_normalization/mr/data/date/months.tsv,sha256=QkxmTWiNFOfJ6SU5JYJMnBRGa6GyDQO2dqTOZtP--W0,233
nemo_text_processing/inverse_text_normalization/mr/data/date/prefixes.tsv,sha256=SAeKssR0Ja0nq7fFGAZM3OgAzKJvj5kGDyyeRWWIikk,80
nemo_text_processing/inverse_text_normalization/mr/data/numbers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/mr/data/numbers/digits.tsv,sha256=eogJ9HHfTV13UEgc12FQRljspkr2zxw2PJBtvdupOAE,116
nemo_text_processing/inverse_text_normalization/mr/data/numbers/hundred.tsv,sha256=XLEMRr1lM1I9wtFjAvJMZK_ulZ3vcUlDWUGlSCfSxBU,22
nemo_text_processing/inverse_text_normalization/mr/data/numbers/tens.tsv,sha256=tKhEFPbCFofseJVID6cXfRr-TtLfPqJ51bHApQDMfc0,2661
nemo_text_processing/inverse_text_normalization/mr/data/numbers/thousands.tsv,sha256=DrN_D2RzJDaUmBifkQuf-OZlsRSyG4GdmAo-QfnxzJA,48
nemo_text_processing/inverse_text_normalization/mr/data/numbers/zero.tsv,sha256=RJgGkPt1cv1vF-4zYsG1xq98dfnRraJv02H-bTOU-4E,19
nemo_text_processing/inverse_text_normalization/mr/data/time/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/mr/data/time/hours.tsv,sha256=AywUjKk47o-dxD3wXn9xhiT_QulJEA8sdlms8_cwPR0,173
nemo_text_processing/inverse_text_normalization/mr/data/time/hours_to.tsv,sha256=GuMj-3XBe1AodNDVmMyAkHzvmudWrZr8mAJPyKqIArE,173
nemo_text_processing/inverse_text_normalization/mr/data/time/minutes.tsv,sha256=N2U9m0LqPf_T5AuzfdvjZ6VCsy6LyKfbWFAYVYtqC6o,1475
nemo_text_processing/inverse_text_normalization/mr/data/time/minutes_to.tsv,sha256=Q8ol-z2GKDohdDXEIbvLrl-pXOCDLiWk4YgngzeOk5w,1455
nemo_text_processing/inverse_text_normalization/mr/taggers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/mr/taggers/cardinal.py,sha256=IaAyWIaRDgL_aOjF9qNwRhL2OAC6FhamCxeBdQ1Dazk,4799
nemo_text_processing/inverse_text_normalization/mr/taggers/date.py,sha256=wXMC6qF7HM8_ldpGrmPwvx73DlY1nFUG-3Jy2tx6q9Y,2823
nemo_text_processing/inverse_text_normalization/mr/taggers/decimal.py,sha256=XPUlvpwrCfwjaoY8D1oonvNo2l3wazZSL8DoeozsmjY,3865
nemo_text_processing/inverse_text_normalization/mr/taggers/punctuation.py,sha256=aJxc_z6x23kH6isL-Yo_28sELxyHQ0rDuu0BuyqBCjo,1227
nemo_text_processing/inverse_text_normalization/mr/taggers/time.py,sha256=Ka6daNC68NkZgSoEclq8ZQ2WORsh2OLh3QVksdpeJDM,4480
nemo_text_processing/inverse_text_normalization/mr/taggers/tokenize_and_classify.py,sha256=kRspp3pmZiKiR26r2VGOpAZjSVM9gEGzQnZaMdRgvVg,4186
nemo_text_processing/inverse_text_normalization/mr/taggers/word.py,sha256=aqw9FhIYLCI5L-S3-DmWzh2HZ76iE9u3NnD6xy59VMU,1270
nemo_text_processing/inverse_text_normalization/mr/verbalizers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/inverse_text_normalization/mr/verbalizers/cardinal.py,sha256=ZZ-Q_9ZD4IJqW47fwHBwj0hwluEoNnfa_bin9y5SF-U,1904
nemo_text_processing/inverse_text_normalization/mr/verbalizers/date.py,sha256=8gCRsrxcGt_Uh90XLFEp2uz675jsykmZ0xru2zyFThA,3407
nemo_text_processing/inverse_text_normalization/mr/verbalizers/decimal.py,sha256=SlqETkPAzmg66HCsp1uCjXAgIzJ6wELNMl1OCDOFKp4,2601
nemo_text_processing/inverse_text_normalization/mr/verbalizers/time.py,sha256=6eTF9dQgPzKj7ZM1urbMN32bv_xTM3WS1JeBFbfAit8,2019
nemo_text_processing/inverse_text_normalization/mr/verbalizers/verbalize.py,sha256=dULpZvkXq5qEaXW3ELSinvHIP2ZhovdA4lndGWW439Y,1709
nemo_text_processing/inverse_text_normalization/mr/verbalizers/verbalize_final.py,sha256=4_YeGNrDYRDSRKpW5Wjv1fWCZ3XClHYzgpdhpC6E3Sg,1903
nemo_text_processing/inverse_text_normalization/mr/verbalizers/word.py,sha256=31SkoW3uVlB4u3hBXspyFjouWslqgbfzjJmv9z8ZS64,1375
nemo_text_processing/inverse_text_normalization/pt/__init__.py,sha256=25e3L8P2r8GWuQU6ppC97dy6RWDNc1Y3S7mG2FWP1Pk,936
nemo_text_processing/inverse_text_normalization/pt/utils.py,sha256=5V7X0yQkqpLteG4Y84lqOlse9cr83VXEUVGbRGSmkP0,856
nemo_text_processing/inverse_text_normalization/pt/data/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/data/currency_plural.tsv,sha256=Akp2uPV8cAiOfdEJ8W6dx8P9v3V_OkarMROOA6uNRN4,74
nemo_text_processing/inverse_text_normalization/pt/data/currency_singular.tsv,sha256=EKS8FbvatMBzO4hhpcj1ZDvW6427xIygQRFsZdB2miA,65
nemo_text_processing/inverse_text_normalization/pt/data/measurements_plural.tsv,sha256=jkDat_lCbRQqilWSbTtzRToR7TmSzPGs033GSB3gJI0,890
nemo_text_processing/inverse_text_normalization/pt/data/measurements_singular.tsv,sha256=MbuhnPXzIOnV6dWS2KSRIzfoI96a8lvopKjxraWBxFA,814
nemo_text_processing/inverse_text_normalization/pt/data/months.tsv,sha256=WnUEKmK-zkqOpoVe6R-77fGCxvB2sKeKTdogalRCac0,90
nemo_text_processing/inverse_text_normalization/pt/data/whitelist.tsv,sha256=sbKPtQ7tAu9lwYTHMK9fOvkhroyZoBKwAztXVmAoL7A,129
nemo_text_processing/inverse_text_normalization/pt/data/electronic/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/data/electronic/domain.tsv,sha256=JG3SbYMawYu1pIii5pIJrId7gzjsiyVrgeoe8jjI638,80
nemo_text_processing/inverse_text_normalization/pt/data/electronic/server_name.tsv,sha256=icsI2Z8-5VAk5lZp91Jqcfw5W3DQDNE_pwYRT30ygRw,80
nemo_text_processing/inverse_text_normalization/pt/data/electronic/symbols.tsv,sha256=_5KaboJUt2QNFKEdMMmJfU4ui_ObE8XmyKQZfdcSRBQ,61
nemo_text_processing/inverse_text_normalization/pt/data/numbers/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/data/numbers/digit.tsv,sha256=hU91Wyl8IxNSFiQ76VRh44nKWafGgf2GNOoCsHv0iMc,77
nemo_text_processing/inverse_text_normalization/pt/data/numbers/hundreds.tsv,sha256=HsQQ8HwgELLjqXrGfCBnAlyYdHMTm6gXBppuAizbLE0,213
nemo_text_processing/inverse_text_normalization/pt/data/numbers/onehundred.tsv,sha256=KiNIFXEFhE4IR_381I_1xMoVIQPrEWCZuKe22LKsYKw,7
nemo_text_processing/inverse_text_normalization/pt/data/numbers/teen.tsv,sha256=Zh_XvcVOB3Jv94Y5f3lMDt-11V34GIuMToM4EzusMFk,113
nemo_text_processing/inverse_text_normalization/pt/data/numbers/ties.tsv,sha256=TvmPVBFLK6aifqatNhy_A90uXxx2OCwegKeRfIdvrDY,80
nemo_text_processing/inverse_text_normalization/pt/data/numbers/twenties.tsv,sha256=tKT6WL9YDCKD6HWNTgAn6BDBgH1djE0dFtxMlq6HU_w,128
nemo_text_processing/inverse_text_normalization/pt/data/numbers/zero.tsv,sha256=9Lfr8QViOIxgmNx_SMwScaBuB84lkULljiDRGc2s5Is,6
nemo_text_processing/inverse_text_normalization/pt/data/ordinals/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/data/ordinals/digit.tsv,sha256=RPJQWcv4ZPLQ4SxtAkCARes-TFxfxwRb5tmYT3nOphQ,167
nemo_text_processing/inverse_text_normalization/pt/data/ordinals/hundreds.tsv,sha256=KTz-vaEVZStLfZsNZYXfVP5bwDluL5ZD-Y8CfOO8ETU,471
nemo_text_processing/inverse_text_normalization/pt/data/ordinals/ties.tsv,sha256=SD3mbYNIVlOg-kmWImOjU4ePRHK_cA-6SM0LmyPZ98I,281
nemo_text_processing/inverse_text_normalization/pt/data/time/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/data/time/hour_to_am.tsv,sha256=2ycPjJnlIagOW9ZSmMIhR7sd7DrQCLR74GneNEiTkHg,3
nemo_text_processing/inverse_text_normalization/pt/data/time/hour_to_pm.tsv,sha256=upABb2DkTC3dcKtpBSINn7g5lmzwB6s0xWH5HiJicPI,4
nemo_text_processing/inverse_text_normalization/pt/data/time/hours_to.tsv,sha256=NNTIvdbCoEOOK8DbNtrI8qgMNe6l9s8F3j5jvemX5Aw,119
nemo_text_processing/inverse_text_normalization/pt/data/time/minutes_to.tsv,sha256=jXPOVNsnPCKwuP75p6OfpHa13HOPqrU3EMQh1kQzsDc,353
nemo_text_processing/inverse_text_normalization/pt/data/time/time_suffix_am.tsv,sha256=rHi6oMHDA-bIxDI5DP2EDbGa7qJfGMBDtJY-jCWcmfM,45
nemo_text_processing/inverse_text_normalization/pt/data/time/time_suffix_pm.tsv,sha256=0RFYiJ7TxOvPbfroJ_l0xZy4W7wa0AcDi7GkrVJ71B0,35
nemo_text_processing/inverse_text_normalization/pt/taggers/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/taggers/cardinal.py,sha256=X0X8r8JfFEA4Mv0UUYJ5pb5OXLmKeop6B1t958txcpc,16184
nemo_text_processing/inverse_text_normalization/pt/taggers/date.py,sha256=bOPF5VrSWbxocw-LOmfT8Twsxhu_rlT_2vT_pL_8iWo,3501
nemo_text_processing/inverse_text_normalization/pt/taggers/decimal.py,sha256=CC4F1ihT-fEva_r9v3eggzRR0phQbppvRJt5gqrPjMY,5043
nemo_text_processing/inverse_text_normalization/pt/taggers/electronic.py,sha256=DzyTcxlEVWmUKPxmXZ1gBXE9N_Uj3EGDY-DwDXrV5Bg,4011
nemo_text_processing/inverse_text_normalization/pt/taggers/measure.py,sha256=tPn0xtHSUpfFUWu-WrWXWLmMkQ4EFtbhyDmoMpvqzdM,3537
nemo_text_processing/inverse_text_normalization/pt/taggers/money.py,sha256=QIsPCc8QQelEDTW1fTgO9h3l3BghmqZkvnaSbZ0qPRI,5063
nemo_text_processing/inverse_text_normalization/pt/taggers/ordinal.py,sha256=SEwDaFX09CEJW2aUQq8v0TJBr-mu1kbMN3aMGcZpYsI,3609
nemo_text_processing/inverse_text_normalization/pt/taggers/punctuation.py,sha256=WywfC96ZfdbQD901i72TTc-HKBNYZzE64qOUuia22T0,1190
nemo_text_processing/inverse_text_normalization/pt/taggers/telephone.py,sha256=p5PXfBg7yEv_auMJsKcKMOKZTXFxlifzOQ_ZC0Z-GZc,5000
nemo_text_processing/inverse_text_normalization/pt/taggers/time.py,sha256=3hqnQrhONZ0mTWeG2xhoUyj7KtFgH3e5La8c_dAcHc4,9385
nemo_text_processing/inverse_text_normalization/pt/taggers/tokenize_and_classify.py,sha256=BWK9DXgTkbkBwEMOOdNYqfTEL9AVRkZLfWSKQFaqTmM,5457
nemo_text_processing/inverse_text_normalization/pt/taggers/whitelist.py,sha256=MZ0SN577Er-hKzbQQMpUnBIzw8jP0ftjzwUz_nzD-ek,1809
nemo_text_processing/inverse_text_normalization/pt/taggers/word.py,sha256=oxZKB5iI3krKbQu84O5qDQribd7xHMyfWRQzOE93Xic,1212
nemo_text_processing/inverse_text_normalization/pt/verbalizers/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/inverse_text_normalization/pt/verbalizers/cardinal.py,sha256=dsfy9nOB4LG72rf6bKKM3LqQ7qGNktSv1zKqM-6n7yQ,1669
nemo_text_processing/inverse_text_normalization/pt/verbalizers/date.py,sha256=gTWbRBYySFfi8_CPlJJfRGpe04KKhfoF6-adEqcx6gI,2776
nemo_text_processing/inverse_text_normalization/pt/verbalizers/decimal.py,sha256=0jf0Qu8blPk6r6jNsH8p_A6ZLRBn6uDQQq7RQYO5f2E,2902
nemo_text_processing/inverse_text_normalization/pt/verbalizers/electronic.py,sha256=X4u3Cb0DSwZhCNwC0NNz3R7djtstRv1fHL0ngEZLi7o,1974
nemo_text_processing/inverse_text_normalization/pt/verbalizers/measure.py,sha256=otWZqhFRNzCMy3oLXG8bkYxLMSKItb15mmh7T3e-OZ0,2164
nemo_text_processing/inverse_text_normalization/pt/verbalizers/money.py,sha256=Cz9jjOAD3rIkFr9b0Hwd6GXuo60PvZ9wbxPopdomq-I,1514
nemo_text_processing/inverse_text_normalization/pt/verbalizers/ordinal.py,sha256=L6jqP5973Zorx2_Kbu_T0AjCU-W-byjtDX6eNyzVnVA,1569
nemo_text_processing/inverse_text_normalization/pt/verbalizers/telephone.py,sha256=oY4m5ijwViv2G-z_sqUIViAvDCEFUTZ5E8lrWKkbEEI,1246
nemo_text_processing/inverse_text_normalization/pt/verbalizers/time.py,sha256=jGPE0XOlqdg11kX42NOvPF-PRN5qlw9F4-w_4eCVMpg,2626
nemo_text_processing/inverse_text_normalization/pt/verbalizers/verbalize.py,sha256=J7u8eWAXioGYIiuCqK-2zopijFzakmmVB6Y6Rw82DwI,2839
nemo_text_processing/inverse_text_normalization/pt/verbalizers/verbalize_final.py,sha256=Sb13I9U9SHaijBjWqPYStBl9JUXBvnjHIABF5SEiSkg,1750
nemo_text_processing/inverse_text_normalization/pt/verbalizers/whitelist.py,sha256=HJWCsNEi32dTod5zTwY1jP7WTSaD6bMTpFfj8-9xVDQ,1370
nemo_text_processing/inverse_text_normalization/pt/verbalizers/word.py,sha256=FWtroMuh5t0VYmr1YjhvaHyedIu_XLC8iYYNL_n82dA,1297
nemo_text_processing/inverse_text_normalization/ru/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/ru/taggers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/ru/taggers/cardinal.py,sha256=Wss9In746e-rcdD9-mHAa6tgXLmmkrDAM-xBF6tUT_A,1873
nemo_text_processing/inverse_text_normalization/ru/taggers/date.py,sha256=u1p95MDKA_-rY7EIpvXhjWf8BkRfM5JPljnRdA689Rk,1537
nemo_text_processing/inverse_text_normalization/ru/taggers/decimals.py,sha256=GA_pMa-CjvHtxPVIRcrenHxsGX820A_YulDyHtjouUc,2576
nemo_text_processing/inverse_text_normalization/ru/taggers/electronic.py,sha256=Q6ovpNjVzaphPHt8OTH5sfzE4q_OTIC8L3Rz3J7m0Dg,1576
nemo_text_processing/inverse_text_normalization/ru/taggers/measure.py,sha256=jaI_Ph_299_58HNl-llxTsy3HDdG1ZZZ_IsbxDekkmI,1601
nemo_text_processing/inverse_text_normalization/ru/taggers/money.py,sha256=0zEvEWgnhGm7xEKg66tJ415YxvvQGim4aKpOFF3xwb4,1514
nemo_text_processing/inverse_text_normalization/ru/taggers/ordinal.py,sha256=aqrYKAP19B1d3QjoNy679JOScvDJNvDAD3WG6cEGTBw,1696
nemo_text_processing/inverse_text_normalization/ru/taggers/telephone.py,sha256=EVFEpAV1jZvaoZcYRdmf2qihSBr33sWpbQKqnrKs1pw,1706
nemo_text_processing/inverse_text_normalization/ru/taggers/time.py,sha256=shPM8Qnz1leFGDzqhgyRjri7310iiwSuVcCbGFsufiw,2985
nemo_text_processing/inverse_text_normalization/ru/taggers/tokenize_and_classify.py,sha256=x917gdZQdv1UX8dx71lRPMmn8-CIcu_eSeCpIg7l544,5963
nemo_text_processing/inverse_text_normalization/ru/taggers/whitelist.py,sha256=vnea4dWH0rLuO242VrYZ-9v7Owsvr72jRpc9sFq-fN0,1878
nemo_text_processing/inverse_text_normalization/ru/verbalizers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/ru/verbalizers/cardinal.py,sha256=SrdamdhJoMoYg8ygTlozJNzrTX6_KImIuIIXyMgQLY4,1771
nemo_text_processing/inverse_text_normalization/ru/verbalizers/date.py,sha256=042H71J533p2aUBPqaKnVZolwzzm75S4avS47Ar8y1Y,1195
nemo_text_processing/inverse_text_normalization/ru/verbalizers/decimal.py,sha256=4isuCCEe5nhKbzxgrN1r4QXOLcpJbZshJPsQ7IDdY8U,1930
nemo_text_processing/inverse_text_normalization/ru/verbalizers/electronic.py,sha256=dPVYQ8e43SYFjk5TyEOEzh20nxKchZeUvpCesyG25gA,1217
nemo_text_processing/inverse_text_normalization/ru/verbalizers/measure.py,sha256=frZNL4GY_QdXIGTtfY8hHNCJNx3ZB4tq6SPfDQBdwO4,1347
nemo_text_processing/inverse_text_normalization/ru/verbalizers/money.py,sha256=1B0idqHRvQGYcxRdZHXOr8yI83EvocDxuYedLB9o4a4,1212
nemo_text_processing/inverse_text_normalization/ru/verbalizers/ordinal.py,sha256=2BTi5rrEu70WJgwO0MWiI4jpab7g5q-iAS-bQiYCnnk,1453
nemo_text_processing/inverse_text_normalization/ru/verbalizers/telephone.py,sha256=RUaMVld2lIeAcOsmAfLoOPnkWONIUm04YqI61Wgj6po,1233
nemo_text_processing/inverse_text_normalization/ru/verbalizers/time.py,sha256=2bJ5IFrjHC1KXtki-zLj1In4ZmJRSmxHeRC4H68Sx5I,1779
nemo_text_processing/inverse_text_normalization/ru/verbalizers/verbalize.py,sha256=9inUNQENFbAFhSYNVwgLoMrjr8iwPwmy2fHZJGa-8B8,2817
nemo_text_processing/inverse_text_normalization/ru/verbalizers/verbalize_final.py,sha256=JC1GxTJMe9PtuwXmGJ_zyaSApejfoziolnTt8jZ3Ylg,1750
nemo_text_processing/inverse_text_normalization/sv/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/sv/utils.py,sha256=9qlCBEKAjOiheOsPm6T_AoAZqXOwIM1EOI-A9wJVHQI,843
nemo_text_processing/inverse_text_normalization/sv/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/sv/data/whitelist.tsv,sha256=MBMJacnfZ3h3JM5Tp_8vXZbmeu7ftiR3XVoVfJldnUQ,50
nemo_text_processing/inverse_text_normalization/sv/data/time/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/sv/data/time/suffix.tsv,sha256=TzXUc6AEkMNkGIgfxijqZI7sGTaOBh8ndSTqMEiFMvU,33
nemo_text_processing/inverse_text_normalization/sv/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/sv/taggers/cardinal.py,sha256=EePAbkiIsIThZa25K3pfQbhhPfqVPZKVt8Ym7CyU__M,2819
nemo_text_processing/inverse_text_normalization/sv/taggers/date.py,sha256=djfCaa3JfKDXAvAKvvIWHD00oIEC8xiyycflEdMFZzQ,3434
nemo_text_processing/inverse_text_normalization/sv/taggers/decimal.py,sha256=EDLAR4hnAMiON6AS-OtiGUPU_TsZ2osReXPC3TDXTLQ,2925
nemo_text_processing/inverse_text_normalization/sv/taggers/electronic.py,sha256=BDAoheHFF1gxla20qSrrl4yPBOTndvs28YYwqSH6UOM,1533
nemo_text_processing/inverse_text_normalization/sv/taggers/fraction.py,sha256=6Ea8IVbxR2CLO2XfiodpI4YxSJd990cwjUCrlpA8L88,2237
nemo_text_processing/inverse_text_normalization/sv/taggers/ordinal.py,sha256=crFPdjpgdC3jiZiTBx2ziSkoKXa-DWch_468ccMQjHs,1567
nemo_text_processing/inverse_text_normalization/sv/taggers/telephone.py,sha256=V07oZmZzk0XHrdHlTXG_dX0MP5dmduQvhfJFjyWe2Ww,2185
nemo_text_processing/inverse_text_normalization/sv/taggers/time.py,sha256=OvWXS9v4f2nkBpmqos-k5GAqzW-Bjynh9Rb8QCh2aa8,7004
nemo_text_processing/inverse_text_normalization/sv/taggers/tokenize_and_classify.py,sha256=wxcTBdpMnedLG_1_B42AIaOsyVAztTQ8sxwpiFhpdk4,7354
nemo_text_processing/inverse_text_normalization/sv/taggers/whitelist.py,sha256=FAKOO6HGt5-IhcwtSqjI0lfeM5Ph_jEsHDIqNgtWRqE,2082
nemo_text_processing/inverse_text_normalization/sv/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/sv/verbalizers/cardinal.py,sha256=t8f2tiy83Jh3VfvJjkpF3KhzX95CT82xUuPgfsgDtqo,1476
nemo_text_processing/inverse_text_normalization/sv/verbalizers/date.py,sha256=sWHnlk8AZ0K0hIhDMhTuXHhXtmzxYOrqM0YWYDoC_BI,2362
nemo_text_processing/inverse_text_normalization/sv/verbalizers/decimal.py,sha256=Su-uXcxhxO6qUKO8LQ_lN1VqwOdpmsTV6ERzk94kYl8,2299
nemo_text_processing/inverse_text_normalization/sv/verbalizers/time.py,sha256=jTznwTsBQK902wmrhEJROJxsL5lHbiDm7FctHViSaVQ,3047
nemo_text_processing/inverse_text_normalization/sv/verbalizers/verbalize.py,sha256=KqVKYQ-93r1raH-fCgBb3KvehBphsEsaoruall9E25o,2016
nemo_text_processing/inverse_text_normalization/sv/verbalizers/verbalize_final.py,sha256=Wa-XpWlwHalgWl79xE-ARcmYkezSKmhR_MKDtbqK6Vk,1815
nemo_text_processing/inverse_text_normalization/vi/__init__.py,sha256=7nTgQgvDFMb7-TCoZm4JjRqiQDqxgoscdkIPna4ZaRY,923
nemo_text_processing/inverse_text_normalization/vi/graph_utils.py,sha256=9osK_Y_Z19DiswUJpgptNUK4WTeF8ekXp5uCt5452N0,5154
nemo_text_processing/inverse_text_normalization/vi/utils.py,sha256=AZr3kKdsxb-2ZaPQ6eP-LBh1ZGQ4F_b0vZ9eX001E30,843
nemo_text_processing/inverse_text_normalization/vi/data/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/data/currency.tsv,sha256=_-XBL4d1zPbGl-giLyIHqArNrpnz_r85LVL8wOBkdhQ,107
nemo_text_processing/inverse_text_normalization/vi/data/magnitudes.tsv,sha256=SLukAJ4sdFmlfIvOb00GCdiehYCcQPPmkVzLVj63aJk,40
nemo_text_processing/inverse_text_normalization/vi/data/measurements.tsv,sha256=oXiWa_Cvg0SMy3u9UyzrRndOO_pWF3qGy4yUdSnIRkQ,2692
nemo_text_processing/inverse_text_normalization/vi/data/months.tsv,sha256=8wWYGvCk6ncKO2xU1bxKeYxzNhkHQSs-DImbWt9BcS0,120
nemo_text_processing/inverse_text_normalization/vi/data/whitelist.tsv,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo_text_processing/inverse_text_normalization/vi/data/electronic/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/data/electronic/domain.tsv,sha256=LlOAHk_hv8sT3Xv_WoBUWh2yjbOKlKJVLhVxIx5zaDw,35
nemo_text_processing/inverse_text_normalization/vi/data/electronic/server_name.tsv,sha256=jfBGgNhcvHKDjkDbGtWHkd37-OQ1VwnXFLui3LaokMc,113
nemo_text_processing/inverse_text_normalization/vi/data/electronic/symbols.tsv,sha256=JinkojMnb9rEeERqZuuQvZc6A9ql6bnGtcfTzDVPZZc,227
nemo_text_processing/inverse_text_normalization/vi/data/electronic/url_symbols.tsv,sha256=0k-zH4jQyNItezKxTfLqBE0yjYxcaOaN6WofwELjCr4,101
nemo_text_processing/inverse_text_normalization/vi/data/math/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/inverse_text_normalization/vi/data/math/symbols.tsv,sha256=-ZnleIzoE2oTqZMDJYORzsQ0Nym33m7rynvXLorzKgw,82
nemo_text_processing/inverse_text_normalization/vi/data/numbers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/data/numbers/digit.tsv,sha256=fCWHCiQGR_TNlwGUhiWCvU4QfqPHhusfz-OuZSJ2-gg,71
nemo_text_processing/inverse_text_normalization/vi/data/numbers/digit_special.tsv,sha256=NQFPpkl3FQVVUvKpbAFTkWp87szqOzNCIZQoIIUf8mg,20
nemo_text_processing/inverse_text_normalization/vi/data/numbers/hundred.tsv,sha256=y3aAiZmvp82LU2quDd4O2REPS7vzA9JvSpSxvj2XYrc,5
nemo_text_processing/inverse_text_normalization/vi/data/numbers/teen.tsv,sha256=d06kONFAADlPFS1NrB9ovTQsfpzKZjnXzR6jF4jWB5w,172
nemo_text_processing/inverse_text_normalization/vi/data/numbers/thousands.tsv,sha256=A7VX5fKUA-jwBY6zUGDjGx9ZyaNiGqYDMumtlzmSLzU,54
nemo_text_processing/inverse_text_normalization/vi/data/numbers/ties.tsv,sha256=Cl5vDP-B0ZVop_gdiWDSEq6c2WmuvU4OvCwymuP3_BQ,63
nemo_text_processing/inverse_text_normalization/vi/data/numbers/zero.tsv,sha256=-MBBUXt0EnDxR_ghm9ACxfEwhi6wCWlDWRgUPIH-rEE,8
nemo_text_processing/inverse_text_normalization/vi/data/ordinals/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/data/ordinals/digit.tsv,sha256=FXLEHZ32ilrIMVt836irvPwh_IH9-t08JOXipI7HePM,85
nemo_text_processing/inverse_text_normalization/vi/data/time/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/data/time/hours.tsv,sha256=-t27mi1Iz5DOJ0YNF55NPFvnjzLC4WMX4jMLH_yy-c8,356
nemo_text_processing/inverse_text_normalization/vi/data/time/hours_to.tsv,sha256=vMnLvmRs8VMcFwl3S1hkO7sxd-Kuw8RKfJI1ouUrEE0,129
nemo_text_processing/inverse_text_normalization/vi/data/time/hours_to_night.tsv,sha256=mNM98-BuSqn_R0FHP5KzSBZtfXYACT9_VsBSfBARr1s,61
nemo_text_processing/inverse_text_normalization/vi/data/time/minutes.tsv,sha256=xZnFIj-ExCruvYA4kI4DxHXvjHXiRrYbH2-D8axYdBs,1789
nemo_text_processing/inverse_text_normalization/vi/data/time/minutes_to.tsv,sha256=ylXxqKXXAGb8ooi8r9IecnH9JsorbWlvVWxnIRbL7H4,335
nemo_text_processing/inverse_text_normalization/vi/data/time/time_suffix.tsv,sha256=n__-2aAI0PhtUh51m05w-ndnUVhGTHbmQ51GAGFs1Lo,61
nemo_text_processing/inverse_text_normalization/vi/data/time/time_zone.tsv,sha256=GXoUe_IiKRMmX9ieMqyS3ShzEydYE8YBdJ8hQ8bENo0,64
nemo_text_processing/inverse_text_normalization/vi/data/time/zero_prefix.tsv,sha256=iJnjMOSvC0ynwhVeGM5yOntWUlXJwLOTM3WLrmen9b0,22
nemo_text_processing/inverse_text_normalization/vi/taggers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/taggers/cardinal.py,sha256=kMKj5MPASa1ogMdRcfZ3GSMkc6g_iStvEhJKHe-SKiw,6591
nemo_text_processing/inverse_text_normalization/vi/taggers/date.py,sha256=I_9izmI2__dZgiZ3ZWDdtzQ_RjYWfnaM5ZiWH3jiyRM,6916
nemo_text_processing/inverse_text_normalization/vi/taggers/decimal.py,sha256=G-G5mwYHdqQ0zRaMYd_gW5ON-xMp12vgfyqc6fBYTsc,5004
nemo_text_processing/inverse_text_normalization/vi/taggers/electronic.py,sha256=uSi83qY4WdfgFlTu0w8pNjsqmDg89o1jSo30rkhLyBg,4470
nemo_text_processing/inverse_text_normalization/vi/taggers/fraction.py,sha256=kTajKpPlHWtpVdpXmhqwXoQQNoHe1PWwPK9jtS2GURk,2589
nemo_text_processing/inverse_text_normalization/vi/taggers/measure.py,sha256=XdgTjsoABjdkVrbBO5Wm_GVlupfsUQ0S_69a9caN0Og,3820
nemo_text_processing/inverse_text_normalization/vi/taggers/money.py,sha256=MDUPpf6gwYS3bIk4hELtgQIL96ebY5-pYhpubARonbU,2857
nemo_text_processing/inverse_text_normalization/vi/taggers/ordinal.py,sha256=bFLiuexZQ_qOWF8oeuHmRiiSsYb4OqsMYo6OOj5ssow,1658
nemo_text_processing/inverse_text_normalization/vi/taggers/punctuation.py,sha256=vwvoEewtGIXrqndA7qLsSMMovGh3cE8k6rWdW7uG2fE,1224
nemo_text_processing/inverse_text_normalization/vi/taggers/telephone.py,sha256=ODXVS_lX8YsFN9nNRoIeWxX74-Lny8I2p56l4EbSPg0,5056
nemo_text_processing/inverse_text_normalization/vi/taggers/time.py,sha256=qybul5qdPGji4DtsiGyqiwFdz92BLRcRcYEqIVf6bLE,5893
nemo_text_processing/inverse_text_normalization/vi/taggers/tokenize_and_classify.py,sha256=BRFu8DjJyR_2-qumb2gIqEjyAplzSdTmGemEHJW1RkM,5794
nemo_text_processing/inverse_text_normalization/vi/taggers/whitelist.py,sha256=NIXoTf9ayXW2Qz75DUU9Dmgqh83QqztQ2vVR32MNizs,1846
nemo_text_processing/inverse_text_normalization/vi/taggers/word.py,sha256=U0NVD_QA-skDg4OaJOPzXOxZTz_VDosWmimf-egyp-w,1247
nemo_text_processing/inverse_text_normalization/vi/verbalizers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/inverse_text_normalization/vi/verbalizers/cardinal.py,sha256=vMOqlD_DMprQ-xJDZXRkm0wpuz9YjpfXQZblQkKp7Po,1660
nemo_text_processing/inverse_text_normalization/vi/verbalizers/date.py,sha256=H3DTXDzNc1omBi83w8NltqGn9mtyp3VnfMjGchsZxQA,2767
nemo_text_processing/inverse_text_normalization/vi/verbalizers/decimal.py,sha256=0Z0egxL5UXwNCrIC6Yz6d1IEtHphps_rmEf5wjEBvXU,2381
nemo_text_processing/inverse_text_normalization/vi/verbalizers/electronic.py,sha256=F-FQIbZzvKOcLd4MXwdToI0R0ykzi-wKF5yd56H1MwE,1906
nemo_text_processing/inverse_text_normalization/vi/verbalizers/fraction.py,sha256=jPcO6a_XT_Py7w-9unDVT7kMtTIFaDjiXz2JJELrVs8,1762
nemo_text_processing/inverse_text_normalization/vi/verbalizers/measure.py,sha256=OhaQ53lh4T8tW6xdms3G4St5Qmbe-TZKa6lBL7FvcSo,3486
nemo_text_processing/inverse_text_normalization/vi/verbalizers/money.py,sha256=Z9RBwEfWJ-PKWhtXG2OgC4YOwC7qeCEgjaj_Yn6ZlrM,1530
nemo_text_processing/inverse_text_normalization/vi/verbalizers/ordinal.py,sha256=DC3AefBTGm1qwMkDGDR8ZnAznN8sozCU9ULc4UV3RFw,1398
nemo_text_processing/inverse_text_normalization/vi/verbalizers/telephone.py,sha256=e3RlmxRLuDgfH71CAfLP9M0RSAvmvO4dJK7k7aTBP60,1968
nemo_text_processing/inverse_text_normalization/vi/verbalizers/time.py,sha256=i24j-na3XreIWinvrSHHf9zcpbS56FIcPAEDywuVBek,3104
nemo_text_processing/inverse_text_normalization/vi/verbalizers/verbalize.py,sha256=hZQD5EQ00FfvLV7-0ZIqB09V40fw95G623QaWLuA8UI,3071
nemo_text_processing/inverse_text_normalization/vi/verbalizers/verbalize_final.py,sha256=xYxHJ2xfpttp-EliT5U6BCTwCJNqqE6L1Z86iLKnJKM,1787
nemo_text_processing/inverse_text_normalization/vi/verbalizers/whitelist.py,sha256=5CfLJkVPBlc3IAKEAO9ciffS8Gq2RYZdMdrQOJxorWg,1440
nemo_text_processing/inverse_text_normalization/vi/verbalizers/word.py,sha256=PfzrC19PIAjdBqGXe-t0oMWuGfaMxUKEKmRcOrrgbKM,1383
nemo_text_processing/inverse_text_normalization/zh/__init__.py,sha256=ma4bqmFz9k9UzuJv7gXmkiy1GCcEL77vZGdTl-16zTo,936
nemo_text_processing/inverse_text_normalization/zh/graph_utils.py,sha256=Ivhz-aSojsdrZ1oWc41agUa3pQnL_QIEQbreyJbJw0k,6537
nemo_text_processing/inverse_text_normalization/zh/utils.py,sha256=zg4bd2Hyw_kxCaYO5XgbMU3Vu3dCPUwUhLA9cGthzKs,1913
nemo_text_processing/inverse_text_normalization/zh/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/data/whitelist.tsv,sha256=cNgITFbX3iHgX3R3cIBfFBK1Lvt_N4dDhpiBthuBiZw,465
nemo_text_processing/inverse_text_normalization/zh/data/date/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/data/date/day.tsv,sha256=C0oyOYgmS1RmyS8r5BTs4ou5u2qRBhta3fVzcKaO51s,708
nemo_text_processing/inverse_text_normalization/zh/data/date/months.tsv,sha256=F-Nagx4yZW6eOnvkG6EIDRmorbOq60ZF8xfcknYR_34,383
nemo_text_processing/inverse_text_normalization/zh/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/data/money/currency_major.tsv,sha256=UNNYIK7NOFuZojy6DSFVLG9oHV5O8GmurySwX3p7Sn0,1255
nemo_text_processing/inverse_text_normalization/zh/data/money/currency_minor.tsv,sha256=kQX3YR-A98uhNgVxIzwiONNrUxod0slG-AJv39MbEww,136
nemo_text_processing/inverse_text_normalization/zh/data/money/currency_rmb_minor_cent.tsv,sha256=zaGq_uOuElzZfD8mF-BMMTMvM-lubJjrbha_GW2ZbNQ,9
nemo_text_processing/inverse_text_normalization/zh/data/money/currency_rmb_minor_tencent.tsv,sha256=gnqsXvnpViFgBg1f6kqLJjB8gF3STolB6RuOY7HukOM,18
nemo_text_processing/inverse_text_normalization/zh/data/numbers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/data/numbers/digit-nano.tsv,sha256=I7_oJ9kPyf79hElxjzksuhptDJLGE7rsi0RHCL3wqV0,132
nemo_text_processing/inverse_text_normalization/zh/data/numbers/ties-nano.tsv,sha256=XyE2mXyAkUnXIXuAcJKCKTZBEFrKRWQJlFB4C0imbWw,162
nemo_text_processing/inverse_text_normalization/zh/data/numbers/zero.tsv,sha256=5_nqtX_jAbEj-hB2OE-JsXjVmizJfAM0dymFXEsOL_Q,6
nemo_text_processing/inverse_text_normalization/zh/data/time/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/data/time/time_hours.tsv,sha256=1L_v7BotExP06a37WgngjEh9Xd7XSsh6eXIcNMeOTvM,506
nemo_text_processing/inverse_text_normalization/zh/data/time/time_mandarin.tsv,sha256=73KM-50URv6eCEO_nmwaWppVgjqnszIvJS9mgHO2VI0,675
nemo_text_processing/inverse_text_normalization/zh/data/time/time_minutes.tsv,sha256=6VwwTvnOgX3medf042UQ7rXt-zPL4igPgyl6GdCuSAQ,1832
nemo_text_processing/inverse_text_normalization/zh/data/time/time_quarters.tsv,sha256=rJFdxCYKcrG0i6EYXLV1t3pk8eEqHXIQD3bPEIZDRvw,54
nemo_text_processing/inverse_text_normalization/zh/data/time/time_seconds.tsv,sha256=yaOSZ1Bk4YsP2OdPOkuz2Yki5sUPIgkRLDmtGVzl-3Y,1626
nemo_text_processing/inverse_text_normalization/zh/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/taggers/cardinal.py,sha256=t8L7Q1Dvlez2cLgniECixiplDfUmsDgDnzIPnEhaRAU,16706
nemo_text_processing/inverse_text_normalization/zh/taggers/date.py,sha256=qu_bt726t8_4FVWFmtJaGzTgnRG1HfGQUfc7DPlp1YQ,4048
nemo_text_processing/inverse_text_normalization/zh/taggers/decimal.py,sha256=Zgtjgxul9PKO84t5yExGKyvyV_K_0AntLeaWckDzK3E,3254
nemo_text_processing/inverse_text_normalization/zh/taggers/fraction.py,sha256=0XxsIY07gV89toZlwLbAIVQRtsynvUzCaHLMM16oVTU,2018
nemo_text_processing/inverse_text_normalization/zh/taggers/money.py,sha256=nc5Ejy50FAXDi9sAAqSiJ785hMrN8VgCiG7tsL5GWS8,6054
nemo_text_processing/inverse_text_normalization/zh/taggers/ordinal.py,sha256=JZAEP0FJW4onh5jBtg53Pg3XhR-EY5YuEobAvEFGl-Q,1257
nemo_text_processing/inverse_text_normalization/zh/taggers/punctuation.py,sha256=IJILUpqaCe8_ugyCrLj80BytxDkZ5y9-zXc9GSyPU74,1254
nemo_text_processing/inverse_text_normalization/zh/taggers/time.py,sha256=j6FOm1ZBQ4vOSaC_Wo-Q9jboSSE2Ty85aidyf8mcj08,4984
nemo_text_processing/inverse_text_normalization/zh/taggers/tokenize_and_classify.py,sha256=q5snmmTlvpiVBGq0WPy5yoPkkRrAr8gE6drf486S7Hc,4941
nemo_text_processing/inverse_text_normalization/zh/taggers/whitelist.py,sha256=-12updu1cLGb1hbaG9d3TYyw0WE-BBWvgRZ3SEq__8k,1715
nemo_text_processing/inverse_text_normalization/zh/taggers/word.py,sha256=CeRVNDFcSBm_g2u1zQn9NqBOEM8DJxGMYh9PmSObDNs,1199
nemo_text_processing/inverse_text_normalization/zh/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/inverse_text_normalization/zh/verbalizers/cardinal.py,sha256=mJibmtK_VH4ACpBfol0VM4Eq_4dMPRVtfaJ5NYd5Lm0,2732
nemo_text_processing/inverse_text_normalization/zh/verbalizers/date.py,sha256=9iJ-PtpX1CS1I9GKWeXe74DZH_38fmWNMGKlxO77_40,3202
nemo_text_processing/inverse_text_normalization/zh/verbalizers/decimal.py,sha256=e5y4jbB178mEEld7gK-yL_7cVcHVKNAbLkMcjRZ_POs,2998
nemo_text_processing/inverse_text_normalization/zh/verbalizers/fraction.py,sha256=K49SYKFeCc31U2f3CMmFF2XtAh-2NDo9d3DzVvpWjIU,2264
nemo_text_processing/inverse_text_normalization/zh/verbalizers/money.py,sha256=vO4S9QUS7SRWG-mwPnPblotbjxNZj1r0pdogAScrkqU,4131
nemo_text_processing/inverse_text_normalization/zh/verbalizers/ordinal.py,sha256=jTXJtYzdwf-U33W70OKsMab-jJoGfTG2yB3Et2lB3y0,1315
nemo_text_processing/inverse_text_normalization/zh/verbalizers/time.py,sha256=0_dPp2CmzXpLZH26D6-UQPraHjV1z64pQQTvGqVaaiQ,4709
nemo_text_processing/inverse_text_normalization/zh/verbalizers/verbalize.py,sha256=Eg_rGx36ZYDKegKn5atJxGVTbRmrdHQvUMOvalskEl8,2501
nemo_text_processing/inverse_text_normalization/zh/verbalizers/verbalize_final.py,sha256=hDzr2rNyxnQbdHJpDGdqYyArzB3rx2TtfqBC0EeYq9o,1752
nemo_text_processing/inverse_text_normalization/zh/verbalizers/whitelist.py,sha256=-rAAPzZDevD7I-l3DF74-_inA2U2D7syzWuFWXFjANM,1422
nemo_text_processing/inverse_text_normalization/zh/verbalizers/word.py,sha256=bnzbq84go0CTCkS3nImB04nB_2Rti5BUnSVxrcFE7qw,1324
nemo_text_processing/text_normalization/__init__.py,sha256=y4zvXt2tHq4l-y2IALIWBRKshNntgC8sjThVkQlgtl4,777
nemo_text_processing/text_normalization/data_loader_utils.py,sha256=wl3IzBCpz7dqKfjGi6zdzf8kpvFzWG8dltKF_MYwee0,12381
nemo_text_processing/text_normalization/normalize.py,sha256=DpHRwYC8EDXW0P4V5IucC5WPKElVdAbcWjqFn5OP89E,35757
nemo_text_processing/text_normalization/normalize_with_audio.py,sha256=pyPYkSX5hdb_l-olXxg2NQZEza_uwOCVpYaPP7hkP_s,22859
nemo_text_processing/text_normalization/preprocessing_utils.py,sha256=hrDS9S6TXI1EFC2jPA7_2BcHo5dJYDZgHZR9-yQdAIY,2891
nemo_text_processing/text_normalization/run_evaluate.py,sha256=8VlMIkC2XdncXw70BDkR3VL32-JyIu8K2cO_Ostkpnk,5358
nemo_text_processing/text_normalization/token_parser.py,sha256=38GlWwkU0fVU6MSmaHhHb9mcER0VTrnAbjioD2WElVQ,5130
nemo_text_processing/text_normalization/utils_audio_based.py,sha256=yAVCtqWhqjdL22o7hbXQYLveNXoEbCfmBJ412mtKy1M,12219
nemo_text_processing/text_normalization/ar/__init__.py,sha256=GGq8LW-2QkV-9JwpWGVJZYsXhkc1mS9PW7EVJhue23s,1265
nemo_text_processing/text_normalization/ar/graph_utils.py,sha256=zLhjcgwLQUZoB0929_NmXYZd2-39q9w7ZPnxEcEpMyg,8591
nemo_text_processing/text_normalization/ar/utils.py,sha256=sxjnTTkYRaB4iv2CfO8coIyRXJeKp3SQU38-uTWFSgk,1658
nemo_text_processing/text_normalization/ar/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/ar/data/measure/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/ar/data/measure/measurements.tsv,sha256=HLRSorbaa61B1LdMSPI_cbq4kzydGD9ESIHBSm4tv1o,317
nemo_text_processing/text_normalization/ar/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/ar/data/money/currency_major.tsv,sha256=AUqKzmNrS5BVGntmYEBrKWZlNRabu3tSyAj-a0F-6Cg,577
nemo_text_processing/text_normalization/ar/data/money/currency_minor_plural.tsv,sha256=19M-0HecO8_NN2kIGp8Ffzc-W0qu8B-JFENwlBC4e-Q,57
nemo_text_processing/text_normalization/ar/data/money/currency_minor_singular.tsv,sha256=VVw2Adz2Kff8B4PMxayNrPq3NOy_lZVGe5iykM_r5kQ,30
nemo_text_processing/text_normalization/ar/data/money/local_currency.tsv,sha256=FZQtYY6wF2NV1xxCSnzxZjl_Uz1Grr_E631RK1X1sKQ,552
nemo_text_processing/text_normalization/ar/data/number/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/ar/data/number/digit.tsv,sha256=FnZJV30yFhW-ciE4P9HbB9X5OvCFlKz-4zIF_WX4jXs,107
nemo_text_processing/text_normalization/ar/data/number/digit_100.tsv,sha256=KDI0k-hxJAadjCghBO3QXrw6ZzSAIYePVSjw91wFnng,67
nemo_text_processing/text_normalization/ar/data/number/digit_1000.tsv,sha256=vhfH947IkBzVKk8p5hVDRd5u4Dxcp55tChjAcoUBzFU,83
nemo_text_processing/text_normalization/ar/data/number/flops.tsv,sha256=V5XISmMTs5-8RcyCQi_GzZ2KHDaOlsoRWjUYUBNjBIM,432
nemo_text_processing/text_normalization/ar/data/number/fraction.tsv,sha256=djQ7qxVyUBu8OT3Mtey95DQDFYfdzYMRSekMw9FftTQ,142
nemo_text_processing/text_normalization/ar/data/number/fraction_dual.tsv,sha256=VW1g_YQTMDsuFx91fsM-sk579qEDSoczFFao9SwIzbQ,118
nemo_text_processing/text_normalization/ar/data/number/fraction_plural.tsv,sha256=TKVUt--CIL9D-DGOd8mG6ELyAQ9XsGMDcYMTm5JO4yw,105
nemo_text_processing/text_normalization/ar/data/number/fraction_singular.tsv,sha256=BUOusi2PSmedMFZ3NXdsyI3UHvS9TsE8X2tsVi91hUs,82
nemo_text_processing/text_normalization/ar/data/number/quantities.tsv,sha256=8C_ECTVJfhWcOhPDZk610oH26KnKCPQAH76172bPM48,73
nemo_text_processing/text_normalization/ar/data/number/teens.tsv,sha256=iKhCWquQnXKb0XO6DgZmS8FSAgrKCbowQcW3mQqRnxc,175
nemo_text_processing/text_normalization/ar/data/number/tens.tsv,sha256=Z4yGTXe5zlz0LNBAoJ6FTp2j3IytDzLnalqnuD4zXTM,129
nemo_text_processing/text_normalization/ar/data/number/zero.tsv,sha256=pxH0lBGV_5jpyz1fnfeQmB4BlQukBazJoG8UsZr7O-0,10
nemo_text_processing/text_normalization/ar/taggers/__init__.py,sha256=ixLo957u1xQF88JEJST7efdSLr-jzHRsHknQ3ohqleg,1005
nemo_text_processing/text_normalization/ar/taggers/cardinal.py,sha256=vh3UfWgn6_vEvL48NMgAUqKSfeMw-nPnuEbIwDmXniY,6623
nemo_text_processing/text_normalization/ar/taggers/decimal.py,sha256=ZnaxR3Bsjc10WZsw2-O48h5Mt-Myig9QScLVEVc_gNE,3639
nemo_text_processing/text_normalization/ar/taggers/fraction.py,sha256=MAf30wj2tlLXufyyQh9uH4h7iHtyZHe-sA2AYlDnmFc,3367
nemo_text_processing/text_normalization/ar/taggers/measure.py,sha256=M-jorPt-Jm5y3-pWVtb11GYz4UKRS4FN4CIDYyfOovg,6008
nemo_text_processing/text_normalization/ar/taggers/money.py,sha256=tCdnNhzg_4uZChojiuAmDFNPKDONSFBam7KbQXufd8I,8463
nemo_text_processing/text_normalization/ar/taggers/tokenize_and_classify.py,sha256=mbEuIgPZi1QZ0U3WkK5aGcNtEb_DrfbBihSDuE_WmHM,5429
nemo_text_processing/text_normalization/ar/taggers/word.py,sha256=AclD_xP-hMuZE6O37h7Pi5HiQyUNrkPWML6_gi1BxRU,1325
nemo_text_processing/text_normalization/ar/verbalizers/__init__.py,sha256=ixLo957u1xQF88JEJST7efdSLr-jzHRsHknQ3ohqleg,1005
nemo_text_processing/text_normalization/ar/verbalizers/cardinal.py,sha256=y1-cZD1nLBf0fJzbtHC_UQt1n64L1-jHJhBqxQqODuM,1785
nemo_text_processing/text_normalization/ar/verbalizers/decimal.py,sha256=SnHe8mvv_XdBGMFwREjvwR-0G6COHfuKCJuAzdjRswk,2250
nemo_text_processing/text_normalization/ar/verbalizers/fraction.py,sha256=aJsy37Gl1doQjG6Y8XkXki0XRtJ_I4HwlSYzzKLHMdI,4503
nemo_text_processing/text_normalization/ar/verbalizers/measure.py,sha256=azmLtPoCMNSjTsetfQwhfBDcgxtOHndpNN8dLR7TLkc,2120
nemo_text_processing/text_normalization/ar/verbalizers/money.py,sha256=cti7EGzuXWgLanRm30qQ2l91gs4i9cAkJp6s6gakpa0,3129
nemo_text_processing/text_normalization/ar/verbalizers/verbalize.py,sha256=zezHcId7t4jN2ZPnXYbslQB-N4M3F1A-rmHWCJueRZo,2384
nemo_text_processing/text_normalization/ar/verbalizers/verbalize_final.py,sha256=T6QxQlti1LkwDUuyD0XAcmAzaaOEAI_XVr4zMHdFZB8,2827
nemo_text_processing/text_normalization/ar/verbalizers/word.py,sha256=tMVgRl7Z5jbZt16GLlhzyio8crz1KgYEFZFXU-Cj-rQ,1526
nemo_text_processing/text_normalization/de/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/utils.py,sha256=kwSyNyzVCiS8DBwnKSrGRjNO6riX4BDd-nEWXn_gi_s,1342
nemo_text_processing/text_normalization/de/data/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/fractions.tsv,sha256=Zzo0bOu1uOmvXAhQ66YXobjOCF_k-gytxVbIDIfK_OY,542
nemo_text_processing/text_normalization/de/data/whitelist.tsv,sha256=yEx8Rc21oUqo5uW629y_TDO99yoHboixjPBveZqP_wU,451
nemo_text_processing/text_normalization/de/data/electronic/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/electronic/domain.tsv,sha256=4mLdWh2gwOkfm5q72D2jR9d0hvHIggWrTgFRGg2YPxU,15777
nemo_text_processing/text_normalization/de/data/electronic/server_name.tsv,sha256=dNHmnIQyYw-7ZYeDMUJN4XW1xCoQ4w-AujBh4haSB7Y,148
nemo_text_processing/text_normalization/de/data/electronic/symbols.tsv,sha256=gHvobmypoS6QoaAPVBmlXwOz2FZLfuW8TrYnOzUn5as,258
nemo_text_processing/text_normalization/de/data/measure/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/measure/measurements.tsv,sha256=qzOoFErizkXQsTWKcjMZe2eIbbpcibkjeNn4fvbuL6w,1198
nemo_text_processing/text_normalization/de/data/measure/suppletive.tsv,sha256=rukRIlt-M2la74IfC0p-FJv2D_vshniRCpSJRbXzTIE,139
nemo_text_processing/text_normalization/de/data/money/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/money/currency.tsv,sha256=gQclpnfKDciKpF4p_grfSFpT4wMbozizyNNyTKmSSHM,396
nemo_text_processing/text_normalization/de/data/money/currency_minor_plural.tsv,sha256=IfQfkSoSCfZf-90RPIFeMqQ0nSBb5JLY4mA4qOaGniI,24
nemo_text_processing/text_normalization/de/data/money/currency_minor_singular.tsv,sha256=fYBox_byDuvdvcmtM_-Qajre65nho25c6HtzJYDcq1Q,24
nemo_text_processing/text_normalization/de/data/months/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/months/abbr_to_name.tsv,sha256=vAFBYWuSkExEOiMvfeU2FwAHCx4rWXpovP-wE_80uS8,147
nemo_text_processing/text_normalization/de/data/months/numbers.tsv,sha256=mK7mA6FkvXdoDyuHiSXP3jLrT_N_TKwektq_qoGCP6g,230
nemo_text_processing/text_normalization/de/data/numbers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/numbers/digit.tsv,sha256=64TGuDU21Qn-ZpLEgjAl8yJmmXyJj3fWscD3fe5tdDE,59
nemo_text_processing/text_normalization/de/data/numbers/ones.tsv,sha256=z8TnQ60muYxbFKrAZP83u6zXjF8QEtHxU1EneXMOKCQ,27
nemo_text_processing/text_normalization/de/data/numbers/quantities.tsv,sha256=elsJgXCd3-iPDVSYx1CExYML3GCOdHiGP9nKr8GOX1Y,119
nemo_text_processing/text_normalization/de/data/numbers/teen.tsv,sha256=nOafVwvAVlwj8XrRuu3uDYi_ElwEFTwvo8HRzM9bMPY,109
nemo_text_processing/text_normalization/de/data/numbers/ties.tsv,sha256=EUiMyfsXWoXs1CYydWB4LkKbvx6QuLA3w9JfBlZA45Q,81
nemo_text_processing/text_normalization/de/data/numbers/zero.tsv,sha256=ttWqusL6mZN0FW0A731dhF6rJWoKLstiLLVot6eDAKk,6
nemo_text_processing/text_normalization/de/data/ordinals/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/ordinals/digit.tsv,sha256=VFv37KMivMmM6its7nPvy-z7WpaeenTrjwhe_sVM5f0,93
nemo_text_processing/text_normalization/de/data/ordinals/thousands.tsv,sha256=nOnPERhuxmvaH0XHQjP2rrPuFiTKUvO4s0FCkyZ5mbk,70
nemo_text_processing/text_normalization/de/data/ordinals/ties.tsv,sha256=sMc6-AiaS1MSTfd_7oDgH3kzyyoh1HLKwnkt98ZCedk,139
nemo_text_processing/text_normalization/de/data/time/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/data/time/hour_to.tsv,sha256=o7OL7UEPZok101ZzRpeCuySJEeugK8mR0J281Jp85EQ,53
nemo_text_processing/text_normalization/de/data/time/hour_to_night.tsv,sha256=ZOuG_Rpc4zyXDJRcXh1mX1zgP9_PSZMKT5I4_Adb1YI,67
nemo_text_processing/text_normalization/de/data/time/minute_to.tsv,sha256=1MUaWI726LrpwnfszcllLwGTcl5DFneNoJ3-uGK2DVA,336
nemo_text_processing/text_normalization/de/data/time/time_zone.tsv,sha256=GXoUe_IiKRMmX9ieMqyS3ShzEydYE8YBdJ8hQ8bENo0,64
nemo_text_processing/text_normalization/de/taggers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/taggers/cardinal.py,sha256=b5wMs5YDKwLNZBkIHlr-A81vmT7SurKv7199UNoXh-8,7651
nemo_text_processing/text_normalization/de/taggers/date.py,sha256=rErpgEEPH9xSyPX7Xe4iHMGNrHbxLWRtH65ZG7eTjAM,5767
nemo_text_processing/text_normalization/de/taggers/decimal.py,sha256=ea50bx4jS3UCFLpTLlJbO2ZA7UQM_p-4OvEZg3cEex4,3690
nemo_text_processing/text_normalization/de/taggers/electronic.py,sha256=Iz-9NVfMx_tyIe0CqZifmhKiR-u31hhLeYEeNQ8_HNk,3419
nemo_text_processing/text_normalization/de/taggers/fraction.py,sha256=MWgjQpp94N3Cv8MuWffSTRyITx4so9sdtyHvo2X7oIk,2226
nemo_text_processing/text_normalization/de/taggers/measure.py,sha256=qmJnW4U6pb1tKCKGG2F69IrArzsKbmLCRk-f2F0RKRI,7070
nemo_text_processing/text_normalization/de/taggers/money.py,sha256=Mr640EIhPDssp7hd05YyG7v6Mh_crEXdgVcmKmJbqlo,7226
nemo_text_processing/text_normalization/de/taggers/ordinal.py,sha256=kh7WO-Uv8D-rqJq33a6FqIW8yhoX0KKDH83I587eJBI,2001
nemo_text_processing/text_normalization/de/taggers/telephone.py,sha256=Rtc_J7aCe15eqggqusV80YAVML4n_nOBFumRzHAHgWw,3697
nemo_text_processing/text_normalization/de/taggers/time.py,sha256=I0f0mdgDXOwmyJVX-jelqLA1_VmMgAOTdUiDZ7PpoNM,4055
nemo_text_processing/text_normalization/de/taggers/tokenize_and_classify.py,sha256=Y9wFjRTHnWU-GnGBzDQv5sAknrEup855LklhLEqm0zA,7311
nemo_text_processing/text_normalization/de/taggers/whitelist.py,sha256=XLo2tOsU7pPJQHQ5V3aUA0F7et2Q_1-mngOqMk7y9bQ,2811
nemo_text_processing/text_normalization/de/taggers/word.py,sha256=UILsQ8hZiLgJsOp97VErDMxIPw3ARE9HQMv2xOR0zXE,1313
nemo_text_processing/text_normalization/de/verbalizers/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/de/verbalizers/cardinal.py,sha256=UQbLrd3ib1dcrGoaqdErunosChZb6GmombNAswiCBUA,1734
nemo_text_processing/text_normalization/de/verbalizers/date.py,sha256=BLyJ-b1aS6Vh7Deod-aFCIPe3IAIp6PRfIc3jgm5jo8,2759
nemo_text_processing/text_normalization/de/verbalizers/decimal.py,sha256=XzQloE-7_5WfMDYjO0b_MFwaIIBW8WB22tPC1TcoWeU,2432
nemo_text_processing/text_normalization/de/verbalizers/electronic.py,sha256=taUi8lDa_6RcXnPJ_rXNtEJVz4ykN5u2JfIquuS24qU,3839
nemo_text_processing/text_normalization/de/verbalizers/fraction.py,sha256=2B92wCW7iOZWf4-1axKk_1LMg1XCDZhhC6tZgp0TbP8,3030
nemo_text_processing/text_normalization/de/verbalizers/measure.py,sha256=vb0tiGSn29zkveKn1C-XVLYmo_SGCs71UFqqPYsyH_0,2125
nemo_text_processing/text_normalization/de/verbalizers/money.py,sha256=KAwvcp92_gH-ZkhD6s00EHy3FOtW4OQZuxYnn4R2-iU,3378
nemo_text_processing/text_normalization/de/verbalizers/ordinal.py,sha256=FfekrgL70ophJXRJxzgFC5ZBOZEkOPJfJhWHNFgAIfo,2339
nemo_text_processing/text_normalization/de/verbalizers/telephone.py,sha256=GMp6sXlF4pdHmfvue13Ce3P2BjtsNRylYJwUSNryTAo,1849
nemo_text_processing/text_normalization/de/verbalizers/time.py,sha256=Xn-kOhvF2EjGaZh1CpR-AspunHr_OOAOtKI4IDIPG_8,5518
nemo_text_processing/text_normalization/de/verbalizers/verbalize.py,sha256=Dql10-ASX4MDTHqLf_P4cOYbNBckBeCloeSMOdRgyn0,3770
nemo_text_processing/text_normalization/de/verbalizers/verbalize_final.py,sha256=-03KijLUKqq6JhdHyrKnNnDcGxRX4XokTyXEZ9RTlvA,2827
nemo_text_processing/text_normalization/en/__init__.py,sha256=71x9Qu8Jb6V9c1rZguiftpxXZeAv8JaJ7lnMiur5Sg4,899
nemo_text_processing/text_normalization/en/clean_eval_data.py,sha256=bhQDqs3_IGf8MBPRiuWpFDbHLqLlUVHtFfhDR0z2Dcc,12751
nemo_text_processing/text_normalization/en/graph_utils.py,sha256=yso2LUzS1IiaUUGfygpFPVU-ojF3u1ekXhP5xwSiKvs,9706
nemo_text_processing/text_normalization/en/utils.py,sha256=3tjU17shq8vvZHovqnM7-IPZm_dVT00Trz6pT0LeGCA,1645
nemo_text_processing/text_normalization/en/data/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/suppletive.tsv,sha256=iih47clDISe35FR-p4Usu_coR3oQy1miXd4VsBJSsyA,1843
nemo_text_processing/text_normalization/en/data/address/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo_text_processing/text_normalization/en/data/address/address_word.tsv,sha256=cXFl4r5OhNM4ilqWau8U0KBZDKD7fUXHVsizraSiRjI,161
nemo_text_processing/text_normalization/en/data/address/state.tsv,sha256=QUg_rwRDNvXT1rORqxRw4Sj8ChW3XERNfpVyq-YQo8I,617
nemo_text_processing/text_normalization/en/data/date/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/date/day.tsv,sha256=JxNevqMlx8dz3ogpFDbU3QUuHRHnfUJYx5ypBbZrKAc,257
nemo_text_processing/text_normalization/en/data/date/month_abbr.tsv,sha256=_Vc_3fISN_I343NMeCRSzdqtQktfxqdGbLRDiAeDqes,141
nemo_text_processing/text_normalization/en/data/date/month_name.tsv,sha256=OCP0YwtsR77sJC4ttcqwB-hI0MwXrCgopxKzgKD7d_8,86
nemo_text_processing/text_normalization/en/data/date/month_number.tsv,sha256=FNZPT3VwSFefhsOxLHzKrgKR4qWIytCgdhQ3PeVkwa8,234
nemo_text_processing/text_normalization/en/data/date/year_suffix.tsv,sha256=5Ph-HOHLY5p1vVJ2IEGMWnmO1zGWIPBbF9WCpzhZ9Zk,128
nemo_text_processing/text_normalization/en/data/electronic/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/en/data/electronic/cc_cues.tsv,sha256=AArB1Q0s1gg1pKxkZY0RL4c-YCw5i2kWIvPCven2Zwo,79
nemo_text_processing/text_normalization/en/data/electronic/domain.tsv,sha256=9aC9dD_ZCGHbNy4tjn19NVZtYXLYLMi56COUlAO4l9s,155
nemo_text_processing/text_normalization/en/data/electronic/symbol.tsv,sha256=L0QJBm7gJOegtpIBdSjOBhJau5GuBQa6KMDW8fViYd0,222
nemo_text_processing/text_normalization/en/data/electronic/words.tsv,sha256=xLxCWwSYgY_4bJr39E0tVPqVzYNCBj4vBC0Cg3P00rs,129
nemo_text_processing/text_normalization/en/data/measure/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/measure/math_operation.tsv,sha256=CiG-P11CAqRkVzjNOOoQFyc9mGlpNRBDDm6hmH0Ymo4,71
nemo_text_processing/text_normalization/en/data/measure/unit.tsv,sha256=xagQ3J0v0PShb0GpIfthxl7GNLqerN4lJcaktGjidCo,1627
nemo_text_processing/text_normalization/en/data/measure/unit_alternatives.tsv,sha256=4X23d_-b6rOZBDHZrB1Bth0wCQY5dT31tzn8xrrDbTI,544
nemo_text_processing/text_normalization/en/data/money/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/money/currency_major.tsv,sha256=BT5WthI67_n4HG3Cy6irLiV22gd-qwCScPZkpes7C64,656
nemo_text_processing/text_normalization/en/data/money/currency_minor_plural.tsv,sha256=Bzms1AD16xcGy4bhyvSVGqhJczZX3hLiOBieGh35PLw,36
nemo_text_processing/text_normalization/en/data/money/currency_minor_singular.tsv,sha256=fYBox_byDuvdvcmtM_-Qajre65nho25c6HtzJYDcq1Q,24
nemo_text_processing/text_normalization/en/data/money/per_unit.tsv,sha256=MkmJx9HJrhfd-MWGfUmehb1Hm883Hp85Z3_MFEasH5s,1215
nemo_text_processing/text_normalization/en/data/number/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/number/cardinal_number_name.far,sha256=txyKN-66QpxSd5cP7CRwI-L47M_YhY2_UmuRCLyVfKw,325078
nemo_text_processing/text_normalization/en/data/number/cardinal_number_name_au.far,sha256=hWZMJBtIUbB3ravoo15INez6HOI4WNfrXEnTwT2VPXA,54511
nemo_text_processing/text_normalization/en/data/number/digit.tsv,sha256=w2pZJZqc6i9qwDUnMt-B3wF9qok-l_r03_ibuV9vpNY,62
nemo_text_processing/text_normalization/en/data/number/fraction.tsv,sha256=djQ7qxVyUBu8OT3Mtey95DQDFYfdzYMRSekMw9FftTQ,142
nemo_text_processing/text_normalization/en/data/number/hundred.tsv,sha256=l_6KN0kGmTEzoqn0yWZ84lPBB3YNecBJzflXiLC3qDo,7
nemo_text_processing/text_normalization/en/data/number/quantity_abbr.tsv,sha256=fC8Ix_yj1LSpvddfXnmyUD5sWVgalRquFHYXbq1542M,107
nemo_text_processing/text_normalization/en/data/number/teen.tsv,sha256=kGQZwt1a3vvKR_yDcytDkY54-9MxximyJnpghcmClfA,109
nemo_text_processing/text_normalization/en/data/number/thousand.tsv,sha256=4RUFPjUcgUo8vnz0HzODCh9X10S9PGsovJ9RmvV0tIo,261
nemo_text_processing/text_normalization/en/data/number/ty.tsv,sha256=3bjkbvk4MhhljKHBlt8-BWTI95xVsmqNVwp3yoc2Tpw,69
nemo_text_processing/text_normalization/en/data/number/zero.tsv,sha256=a6SghlqgarVR7qiQp-dA83xChX3evQ9OotArCBmx_yQ,7
nemo_text_processing/text_normalization/en/data/ordinal/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/ordinal/digit.tsv,sha256=sTNAFeHKZVgnEGjvwOKFirScKFuNN7v6w35POB_1xKA,105
nemo_text_processing/text_normalization/en/data/ordinal/teen.tsv,sha256=SzEU76TTEiq4eYvpkub-9zQI7Nj0CiDz1EYRLzZLf2A,14
nemo_text_processing/text_normalization/en/data/roman/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/roman/female.tsv,sha256=qqrr6kYHIGdQNp7O53CgInCHhv8XEt4F3kXhM0zCNBA,35561
nemo_text_processing/text_normalization/en/data/roman/key_word.tsv,sha256=j_bwedPKTLampoQa6AM1bVhvP0RxL4cbo1rOkG705jQ,45
nemo_text_processing/text_normalization/en/data/roman/male.tsv,sha256=MDHmHeA8dE_a4XBs6OfyKEoN48ywuBRtiIugBnNQ-78,20334
nemo_text_processing/text_normalization/en/data/roman/roman_to_spoken.tsv,sha256=bFFz5CBs5VwQaTRR-VjRs9FpY7nNC41NLSID0Hz63tk,72815
nemo_text_processing/text_normalization/en/data/telephone/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/en/data/telephone/ip_prompt.tsv,sha256=D7z0O1orRz2niphTjhPFf-VVILhWcEYOdWp9vtw9Luc,19
nemo_text_processing/text_normalization/en/data/telephone/ssn_prompt.tsv,sha256=8NYKI8pRRJIb3rDszvBnENohVgcM6x8lEG_jeuBi97w,38
nemo_text_processing/text_normalization/en/data/telephone/telephone_prompt.tsv,sha256=cwpJpLLPu1mUCMQP4okikubiO3SIfTm6LIjRtSJyKEo,56
nemo_text_processing/text_normalization/en/data/time/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/time/suffix.tsv,sha256=VX7aFlrHb3NEaJpdpZseH6i1yb0CBorBTrO4roELk0g,84
nemo_text_processing/text_normalization/en/data/time/zone.tsv,sha256=OEU5PU0XS3hQS9Vsgcn-ADv_0PMok6uyirIf9-SeL-I,116
nemo_text_processing/text_normalization/en/data/whitelist/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/data/whitelist/alternatives.tsv,sha256=pbjHoDikyHItvziKQnFoF65siNjKKt1kLZw2ML60P2c,520
nemo_text_processing/text_normalization/en/data/whitelist/alternatives_all_format.tsv,sha256=VzUfxtM9-_dVcM6JMSl7tSGtSZsoljAsKzzTxPeEuBI,155
nemo_text_processing/text_normalization/en/data/whitelist/asr.tsv,sha256=b3J6hOJifqH_DwwZ4BOOVEQ45Q43B3PW2fZEztfdjpo,175146
nemo_text_processing/text_normalization/en/data/whitelist/asr_with_pc.tsv,sha256=wqeEeG4O742D2vroywzbstwmr-s6lGHVv5KAD_K-qiU,865
nemo_text_processing/text_normalization/en/data/whitelist/ipa_symbols.tsv,sha256=ChsK_JiztbsqNnFYNQ0xZ9QCFUxeTqRzm8vCkydQvl8,2532
nemo_text_processing/text_normalization/en/data/whitelist/lj_speech.tsv,sha256=-sZeHERreSBZGbLiJh0q_laYvXWG5mvMAUuXkYiHQdI,263
nemo_text_processing/text_normalization/en/data/whitelist/symbol.tsv,sha256=rIyi-7u3X-DoBslNDaAQghNVWlD6yLAgYS2nuGKQUJ4,240
nemo_text_processing/text_normalization/en/data/whitelist/tts.tsv,sha256=ku6PVVgQcByocv035QNLcfnWFZCLj3yMp5gU2IkCee8,37237
nemo_text_processing/text_normalization/en/taggers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/taggers/abbreviation.py,sha256=kea66QGcvin4QYI18JUK4Mryc72Kkze5_zr4tiJxGAk,2070
nemo_text_processing/text_normalization/en/taggers/cardinal.py,sha256=HFkrV8-1daQQ3NUhvhVhMaW0G_6zvT6nNSdU8bl_65c,7167
nemo_text_processing/text_normalization/en/taggers/date.py,sha256=syQ1HwIzyjqkh2xpQxClHNM9xlhjP5QuzEolc58BV_0,15318
nemo_text_processing/text_normalization/en/taggers/decimal.py,sha256=8GkGZCdM2Xx4xMTbhE6RUl3etiUElkk2iAeUcUacLrQ,5488
nemo_text_processing/text_normalization/en/taggers/electronic.py,sha256=1HsQcTB2O1rxv56hmIKIFozY8aZquXTYc1RIPCo42Ao,6957
nemo_text_processing/text_normalization/en/taggers/fraction.py,sha256=Zsk_Klg2_uj2Cr1ztrQQKop2pztPLWiYyG-52ff6C5U,2401
nemo_text_processing/text_normalization/en/taggers/measure.py,sha256=jtuIZqJTu9s0fd2LTl21MzNfU6VZtimujYXvMTZ7RqE,12225
nemo_text_processing/text_normalization/en/taggers/money.py,sha256=TLvVyPsKTvg1JuqoohNqsPcrdKjGb3baKXLx4FGXGNY,9804
nemo_text_processing/text_normalization/en/taggers/ordinal.py,sha256=K9QbcyeShtUxZfNypRi96U3xpcB9eAjBsz3A5Z-GI2I,2541
nemo_text_processing/text_normalization/en/taggers/punctuation.py,sha256=YyjOP8dQ9fOMsSTuTU8a8EPhDsKhmEpq-eAbagLSKwk,2583
nemo_text_processing/text_normalization/en/taggers/range.py,sha256=Ux7t1nXIBrFlMtqOjsBaX8zhAYISI5kMp63DO4H80F8,4967
nemo_text_processing/text_normalization/en/taggers/roman.py,sha256=PzMzIPwTyTMbwbryI2AO6VY2hRHEhnh4-mkwnMHUDBM,4552
nemo_text_processing/text_normalization/en/taggers/serial.py,sha256=QOXAsKcVH_Eun4XjA3OltdR0m3qQECPfN9lVrmfqxgc,6169
nemo_text_processing/text_normalization/en/taggers/telephone.py,sha256=luTvcCdPAevO9rcY128uUgHjh3zLDEHW7fDumL1oS0A,6032
nemo_text_processing/text_normalization/en/taggers/time.py,sha256=A7sGYbPfxnkXt4RuqdaIjuvIl0YyBCl3wyue_ErCuXk,5196
nemo_text_processing/text_normalization/en/taggers/tokenize_and_classify.py,sha256=GYGqumRLB1Q8J8NZAxFlKxNOMAQBKQ29bmL-BKy95oY,11741
nemo_text_processing/text_normalization/en/taggers/tokenize_and_classify_lm.py,sha256=tX51am412jp9JjCILUB5mPhWZaGf0oLU1p1LBp-QypY,12294
nemo_text_processing/text_normalization/en/taggers/tokenize_and_classify_with_audio.py,sha256=LReh58cM7zKhXtZaPMsnYnVNuRukzGifvZURHeTUB4M,12744
nemo_text_processing/text_normalization/en/taggers/whitelist.py,sha256=h9TISsYddFfxtpp2oy36rDMf07DOhoHo3MMfT7XCu8g,6290
nemo_text_processing/text_normalization/en/taggers/word.py,sha256=ThFdJahRggNDq3UJLruN3wIJruVlWCeo4eA1WK9EL90,4000
nemo_text_processing/text_normalization/en/verbalizers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/en/verbalizers/abbreviation.py,sha256=F3RIZUkofl6B1gIVilCyr1eGKBJO5i8U6Ht5tDcVz3E,1447
nemo_text_processing/text_normalization/en/verbalizers/cardinal.py,sha256=CDroOqTPFzrunMBluqx9kv0_LENHWwZR97rBnKi3ZUc,1954
nemo_text_processing/text_normalization/en/verbalizers/date.py,sha256=PixZ1s0J7O5Lxra7sAmRuEsiAkHPVxaLZWJizv3AAQo,3924
nemo_text_processing/text_normalization/en/verbalizers/decimal.py,sha256=XNRFDLXtAOJQqST3wpbM9x-trMdeB7kJRupuGE11ajI,3295
nemo_text_processing/text_normalization/en/verbalizers/electronic.py,sha256=CcT9gVi3idrtpe91mtTmAM4KfcOz0LRdJkVcgGy-UZQ,4728
nemo_text_processing/text_normalization/en/verbalizers/fraction.py,sha256=qlY9QsCXebQGcN-RQ7FIVf7OzVr0P65qm1THbhQfE8Y,3720
nemo_text_processing/text_normalization/en/verbalizers/measure.py,sha256=hN5WOPMpApPzzpcBHhnpKWz0AYIJgKp_kyBdzsqC_3s,4470
nemo_text_processing/text_normalization/en/verbalizers/money.py,sha256=UmPQ7VVncxfXfusTYpW663_hcPmjnGZVNCaV1UPzMbo,3216
nemo_text_processing/text_normalization/en/verbalizers/ordinal.py,sha256=e0S7vUPGTzn5ifR-co_B0cJTBGPumbfNicrgh0nvd5M,2149
nemo_text_processing/text_normalization/en/verbalizers/post_processing.py,sha256=MAivRmu-jjmTSWYJjtEA8MfNvwUZ2EOU4nE172hXgmY,6840
nemo_text_processing/text_normalization/en/verbalizers/roman.py,sha256=jBZ_2j2f1dgog8elOKqD9Ee_8jeEjkQR3tyjeGKFlLI,2509
nemo_text_processing/text_normalization/en/verbalizers/telephone.py,sha256=28biHl84oeakgMDGbm29zOXTv2FlY4OksTZSD45xTSw,2373
nemo_text_processing/text_normalization/en/verbalizers/time.py,sha256=AJ4etKFLRyUpg7yBBuEsylTWMAXp8DzjHBSXuDdJ2Jo,3723
nemo_text_processing/text_normalization/en/verbalizers/verbalize.py,sha256=V8hFzrG58ex3k4csqNDZQKrLcl7kZixpRBfB3rjYkk0,3986
nemo_text_processing/text_normalization/en/verbalizers/verbalize_final.py,sha256=F0GtUFh8Jjwlo7IE_qjC5D_3FMK8TGkfUn775Wmx1-A,3117
nemo_text_processing/text_normalization/en/verbalizers/whitelist.py,sha256=eVBKP83yAXMdlZZEgk60OhX68Yv_LSkHXZSLaAzd8uQ,1582
nemo_text_processing/text_normalization/en/verbalizers/word.py,sha256=w6nxS8ZtOLZc-59yDzAYVqa1jZW_vEhP_m66T_ftYqA,1512
nemo_text_processing/text_normalization/es/__init__.py,sha256=RuFcpllbkJy2itMgOgASBqq84vPIVsnIcmG3KoElyrw,682
nemo_text_processing/text_normalization/es/graph_utils.py,sha256=fPXlP_6I6hvFAMRm2Bhs_MmqSS7wIcZlcVeyNL5ot-w,9946
nemo_text_processing/text_normalization/es/utils.py,sha256=EOWZkXeldfNfaWTY7ah3UJdsOTwDkFnFvZb0M6QxNbs,1169
nemo_text_processing/text_normalization/es/data/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/whitelist.tsv,sha256=cqX8TcDfBzjykaRDL0Ar33RmfCKtSoSJlYB_rtHEJ1I,854
nemo_text_processing/text_normalization/es/data/dates/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/dates/days_abbr.tsv,sha256=YUbBXbCS0Xa4sE-70cnAaFzUMvHH5w0XXQqvsg1oPQE,348
nemo_text_processing/text_normalization/es/data/dates/months.tsv,sha256=OH1OVSbBrbaA_RQtWBfQBM-2FBKAsCFzNFY3qhBa6RQ,115
nemo_text_processing/text_normalization/es/data/dates/months_abbr.tsv,sha256=O7aKnWLjRWcU2FCKw1QgL1y1ON6rShKna_YGVc6a8YQ,551
nemo_text_processing/text_normalization/es/data/dates/year_suffix.tsv,sha256=ZP2xUNwP_sHIX97mslLe-Pu-IC7F8vu5zo64E0z_5Vc,1184
nemo_text_processing/text_normalization/es/data/electronic/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
nemo_text_processing/text_normalization/es/data/electronic/domain.tsv,sha256=l3ZMMVycFvCrrDXKsoCZnhFVTyBTZZZpe_QTj_Ecu_Q,86
nemo_text_processing/text_normalization/es/data/electronic/server_name.tsv,sha256=KxwyqBLkT43xGbfAlwMZA04EPqWHwVYHHIahK4XKYKg,73
nemo_text_processing/text_normalization/es/data/electronic/symbols.tsv,sha256=mbh2UDwo83R1nWVmxpYpE10EKG1QPl1s-xpEupbC_Dw,311
nemo_text_processing/text_normalization/es/data/fractions/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/fractions/fraction_symbols.tsv,sha256=Xm4piecvgHEqRj8wpgBmBPBEifm8rB3nCI8xwQ-EtNY,117
nemo_text_processing/text_normalization/es/data/fractions/ordinal_exceptions.tsv,sha256=8jKExrxmZa4dmh8Tk2K8EW4t7gQv2xv9dycRfb2ERXU,28
nemo_text_processing/text_normalization/es/data/fractions/powers_of_ten.tsv,sha256=hR-9F9_8-HH_nR2ZETGZor2u8em7yFz67oeHb6w25Bo,224
nemo_text_processing/text_normalization/es/data/fractions/powers_of_ten_fem.tsv,sha256=zvG6_lwyxKXvQ4GBLTlUiS3ZPmcEALD8JspoY7XgPvU,137
nemo_text_processing/text_normalization/es/data/measures/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/measures/math_symbols.tsv,sha256=MtrCDRx-wsbFzdcnBHCiigpFMFIJoqWg3A0VshJwUWw,52
nemo_text_processing/text_normalization/es/data/measures/measurements.tsv,sha256=vU1mHeDjug67vocBvg_kY6hvebDqe8K1IWLFD3v3_SI,260
nemo_text_processing/text_normalization/es/data/measures/measurements_complex.tsv,sha256=obn5tqibOPV5vSRCtRU5-BfZdgTFpdfCyY6-hTjnmaY,95
nemo_text_processing/text_normalization/es/data/measures/measurements_plural_fem.tsv,sha256=PVSlS0uGkHb1Q-nc9LrywVAjOpkZv-NyYDjXtQ8aZSM,55
nemo_text_processing/text_normalization/es/data/measures/measurements_plural_masc.tsv,sha256=N7BTeaSdFDsDN5XvXR_khn7L3rsjpb9efEoPFBS4Gvk,537
nemo_text_processing/text_normalization/es/data/money/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/money/currency_major.tsv,sha256=1woqTz7niojW7rou7Y0DSSDGbgzvHnodQAatkGwzV7M,1030
nemo_text_processing/text_normalization/es/data/money/currency_major_ext.tsv,sha256=ScrcoMs-PT1v4jthep7gWirjvbwNIKyJTKqegfC5X3s,4219
nemo_text_processing/text_normalization/es/data/money/currency_minor.tsv,sha256=P2pRibo54MGsqHk5LfFyo0b-BLg_FElDZj5x1WhxQxY,773
nemo_text_processing/text_normalization/es/data/money/currency_minor_ext.tsv,sha256=NMn_DyQZTBHI_LoNrLItt3ul11kcOxJ3zaDlpY7LSGI,2155
nemo_text_processing/text_normalization/es/data/money/currency_plural_fem.tsv,sha256=CZIm-i2ZpKqOGtQxt6xgV_FM8ZNt1734zT3AF-hH_Dc,177
nemo_text_processing/text_normalization/es/data/money/currency_plural_fem_ext.tsv,sha256=7tWdnNago5Y3CzeX_1uHIw0tVXPQH_9wa2CKeELMsfA,1800
nemo_text_processing/text_normalization/es/data/money/currency_plural_masc.tsv,sha256=gRamkmQ6gmu1NJ1Ewey8NSgPJI5zblJ6BOqPIWlwfc8,1277
nemo_text_processing/text_normalization/es/data/money/currency_plural_masc_ext.tsv,sha256=2RS3ifKGaMwpD9ods-HLXJXeyWdHkSCBVzkwYETkHL0,5659
nemo_text_processing/text_normalization/es/data/numbers/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/numbers/digit.tsv,sha256=O5g9ZBE2IybxiGJHIz9pEtHfPDq588OLrJe-ATN9Pco,64
nemo_text_processing/text_normalization/es/data/numbers/hundreds.tsv,sha256=U8ot0myYIbvudWlGUVXwiq2nX1bl_DGj1-NiI8Lxwso,111
nemo_text_processing/text_normalization/es/data/numbers/quantities.tsv,sha256=R_3W5v3pEyW-ZUNRjmJA4xjz8prnvddNOXLMk3nQD70,52
nemo_text_processing/text_normalization/es/data/numbers/teen.tsv,sha256=TbqRc-yTxiVNuxe5qTOAZOl9_qo-iKY7UVXhPvZVkx4,108
nemo_text_processing/text_normalization/es/data/numbers/ties.tsv,sha256=sGTTOY7rgDxumsuw1pMmVwy1USg9x3STsCZbSLWoLyA,72
nemo_text_processing/text_normalization/es/data/numbers/twenties.tsv,sha256=Va7bmm6b2Ooo-seLkE-zkkFOdLgjWrwal1QR8_y1sgM,141
nemo_text_processing/text_normalization/es/data/numbers/zero.tsv,sha256=o2rSC9uutlEFfrTALh2QOOTFcb9tlnhEgGmQ3yiH_UE,6
nemo_text_processing/text_normalization/es/data/ordinals/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/ordinals/digit.tsv,sha256=cKyTXQQI0xrtZzpaR6eH9q7kRoUaFBJM8luCS2BTwmk,137
nemo_text_processing/text_normalization/es/data/ordinals/gender_suffix.tsv,sha256=e3mvaciPFDYssgJ_6m8hr2zpwTuzNiC7bPtGAB0MwEI,286
nemo_text_processing/text_normalization/es/data/ordinals/hundreds.tsv,sha256=LXMLwaC5ZMunvTqTBGJXnjO-48pE404ErkkkJAkpky0,471
nemo_text_processing/text_normalization/es/data/ordinals/roman_exceptions.tsv,sha256=lY1Lhs_zXS2ksKTvtAONPbKyqnGcZWloiCuii1r0Tz4,22
nemo_text_processing/text_normalization/es/data/ordinals/teen.tsv,sha256=mfKg5flLQxSE85xvN3SlOt7t0KhpunvAXN3ToCEwVKA,200
nemo_text_processing/text_normalization/es/data/ordinals/ties.tsv,sha256=q659ecBfI2szAjA21oDrdmeufOWtrzv6fpWN5PA92EI,165
nemo_text_processing/text_normalization/es/data/ordinals/twenties.tsv,sha256=8F06bIYctwbxBMNNbWwfqJIC5dntup8DkmTntl7TJbg,295
nemo_text_processing/text_normalization/es/data/roman/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
nemo_text_processing/text_normalization/es/data/roman/digit.tsv,sha256=KCFeqI5SZIY1ebXfg0mi_rCBbPi7ukfV08dJB-oXXFQ,46
nemo_text_processing/text_normalization/es/data/roman/hundreds.tsv,sha256=oUak1_4HZi9ExrQyyfmmv1FxiJOYd9nPWVvF1TxL9iI,46
nemo_text_processing/text_normalization/es/data/roman/thousands.tsv,sha256=IgruxoMFlcBg6JpIENMVg-gH3KEL5UEkuOugPb73yC8,15
nemo_text_processing/text_normalization/es/data/roman/ties.tsv,sha256=m2oniYdCZuNDGdK5Dy8H50kjMO9LPJ63iC77hVuAMq8,46
nemo_text_processing/text_normalization/es/data/telephone/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/es/data/telephone/ip_prompt.tsv,sha256=ogWaGSwRpBiJ4PPalVOhT02SzlFEZ0D3Y9k2pXSLP5A,66
nemo_text_processing/text_normalization/es/data/telephone/telephone_prompt.tsv,sha256=GflsRqLaLSNf34VmQ0j0cZDIXrrB-RojDavPgKQnhAA,143
nemo_text_processing/text_normalization/es/data/time/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/data/time/afternoon_times.tsv,sha256=6jZIP4h5K66O5QENS_Yyh0NaMA2dPYPyMtHfj511BZs,31
nemo_text_processing/text_normalization/es/data/time/alt_minutes.tsv,sha256=G6SfmweMzAgvf9ySph-hJpmqa0bmcBDn-ppZR9Jr75c,27
nemo_text_processing/text_normalization/es/data/time/evening_times.tsv,sha256=xmaag15ifb9y-wPBBq9yRTKr_Owp5KHS3bVqBuHhjOs,27
nemo_text_processing/text_normalization/es/data/time/hour_to_12.tsv,sha256=o7OL7UEPZok101ZzRpeCuySJEeugK8mR0J281Jp85EQ,53
nemo_text_processing/text_normalization/es/data/time/hour_to_24.tsv,sha256=1IokaMFs1XRTataV0vRHEjKpZL8sfrTwHXlOo9IBN9Y,128
nemo_text_processing/text_normalization/es/data/time/hour_to_night.tsv,sha256=ZOuG_Rpc4zyXDJRcXh1mX1zgP9_PSZMKT5I4_Adb1YI,67
nemo_text_processing/text_normalization/es/data/time/minute_to.tsv,sha256=1MUaWI726LrpwnfszcllLwGTcl5DFneNoJ3-uGK2DVA,336
nemo_text_processing/text_normalization/es/data/time/morning_times.tsv,sha256=o6_ls56oRFln4i7r5nrE4uCubfnDUzoEyDGNBbqsKHM,60
nemo_text_processing/text_normalization/es/data/time/time_suffix.tsv,sha256=84m7rSIIKj4YFSKdWXYFxCHxSxMvdCcM2maVZwD1Mqs,150
nemo_text_processing/text_normalization/es/data/time/time_zone.tsv,sha256=TbyqR9am1tK34tSCn9VU1F2IrGV0WpQs0E6f-xKkBAQ,1056
nemo_text_processing/text_normalization/es/data/time/time_zone_ext.tsv,sha256=2Z_mRvlQi_JczQK7ep4RjBYkAHkTZVi8lgUW3KXUKF0,3192
nemo_text_processing/text_normalization/es/taggers/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/taggers/cardinal.py,sha256=ijUv3tHIbzPe5-2efiTfSm3ukjK4Sz5tUWaastGo2bw,7731
nemo_text_processing/text_normalization/es/taggers/date.py,sha256=V6VoDHrjC9Kop7SybDB8T80_sbqcZL8MWc44V72xvbU,5596
nemo_text_processing/text_normalization/es/taggers/decimals.py,sha256=15BWKyx250UfnAW4LtlVrk_kKik2bKxwfrx00IcYgNE,6128
nemo_text_processing/text_normalization/es/taggers/electronic.py,sha256=VC9gWfh4CR7fo1cw2028UT6Tlq_Umst1u9X3UW8O3LY,4059
nemo_text_processing/text_normalization/es/taggers/fraction.py,sha256=napMotxwjsVgdkzMtzVU0PzDqeID6kJ7NSFnfKg1aVs,6607
nemo_text_processing/text_normalization/es/taggers/measure.py,sha256=mHNYFI8FfK6TAiWOpA30oJ4ObgBklm8vq-ImGB7UNao,7974
nemo_text_processing/text_normalization/es/taggers/money.py,sha256=gfOOYCGM7QrI_2fwZUkeWcVvs_FKpgPudUZp6hdoSrQ,8830
nemo_text_processing/text_normalization/es/taggers/ordinal.py,sha256=RhkRQYkEPkqPpL69ThIrSdODyULlbDdwh44wYEUA_wg,7473
nemo_text_processing/text_normalization/es/taggers/telephone.py,sha256=P9zaLEsTnvvCTDuuuHStqwKpbysjt6oia03jUKPInBE,8048
nemo_text_processing/text_normalization/es/taggers/time.py,sha256=BumfDyNuAXGf9ZM2ZmCH1wRgG74PJNI2VtaN-qDy44k,9464
nemo_text_processing/text_normalization/es/taggers/tokenize_and_classify.py,sha256=2pt3ct2Wwg8UgBMI3uQCmV7FCUYFkzjNkEDR3D0L9rc,7494
nemo_text_processing/text_normalization/es/taggers/whitelist.py,sha256=e1Z26GfsCWwkJpayufXn02g0I5gTumL6Orp98BVgggk,2811
nemo_text_processing/text_normalization/es/taggers/word.py,sha256=M0vKge9ef3KVql_HNIEi_Q0GqQZY8BbPZo-gFLaHXa4,1327
nemo_text_processing/text_normalization/es/verbalizers/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/es/verbalizers/cardinal.py,sha256=9wrFWBEc5QQL5HsLOftMuf7N--B-lBMNH51vAuSKO3o,2445
nemo_text_processing/text_normalization/es/verbalizers/date.py,sha256=hnuqGt1M05m8bTm4k47LORNihGhqq976vLgSe1xHtQM,3469
nemo_text_processing/text_normalization/es/verbalizers/decimals.py,sha256=1jfZdQZS5YBnCjnWFYlpw2CaSB2hnMofjSroIEAr1bQ,3780
nemo_text_processing/text_normalization/es/verbalizers/electronic.py,sha256=UqRUmNEp4azd-7P-4qk9ion3uMOygCEEKB-rlDXAVO0,4010
nemo_text_processing/text_normalization/es/verbalizers/fraction.py,sha256=9GqamvqSwiINz57bFn6Vo9xz0fJxbExdJwrkQBMAwhc,8609
nemo_text_processing/text_normalization/es/verbalizers/measure.py,sha256=gM0m6i6aKFhWnpHNbQVKDPYDVhjnyDSSvByPH4urNto,5238
nemo_text_processing/text_normalization/es/verbalizers/money.py,sha256=JgbkeaiY45FKSqg5_DkU-gNibOpzfBCSgXMan3UsdlU,7014
nemo_text_processing/text_normalization/es/verbalizers/ordinal.py,sha256=IImqbqSBoZhoGgXDyifHPxKbJqVRaSjRK4Jb6yC3TTQ,3032
nemo_text_processing/text_normalization/es/verbalizers/telephone.py,sha256=yRbOLuV57vXRgw6ZIjmpJC55uiKK2JlYajauUqi2rR0,2518
nemo_text_processing/text_normalization/es/verbalizers/time.py,sha256=V1ccuk4GOZAaAeGZsZV3PkviY0MwKeziTctq5LclrRE,8940
nemo_text_processing/text_normalization/es/verbalizers/verbalize.py,sha256=IyVSIIrRkLg0cxcLg1A00L-YG42AVXEQAs8jbYtnWRM,3589
nemo_text_processing/text_normalization/es/verbalizers/verbalize_final.py,sha256=rGkH5kFlLpwvKcYiBj741NG9UnhibRlePNJ79o2GF9E,2827
nemo_text_processing/text_normalization/fr/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/utils.py,sha256=AuW7grSp63sUqhEp4Ax2-dOjtm5U8y6JDjadiyof5Zk,1162
nemo_text_processing/text_normalization/fr/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/data/whitelist.tsv,sha256=n2taPko3A6JlHWfZJqhI3wKts_5ePPNfbtAzEtdRXqY,272
nemo_text_processing/text_normalization/fr/data/dates/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/fr/data/dates/eras.tsv,sha256=jUOsyZtdg6FyaickCCLN0hu9ckhy7jUJnJnWJ38e984,102
nemo_text_processing/text_normalization/fr/data/dates/months.tsv,sha256=Fd5Jl5vHvdkU4UUtRIvLH7wbf0SKlMkAUhAxkpSK3bA,118
nemo_text_processing/text_normalization/fr/data/fractions/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/data/fractions/irregular_denominators.tsv,sha256=EVxjA8EMH6FqHNmzSkCO45VCa8olgikuulC2_xE1yH4,116
nemo_text_processing/text_normalization/fr/data/measures/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/data/measures/measurements.tsv,sha256=Mfl0RHoKpN-k0yQG0NNd9eb1kkZ5lVka-YJRAbQR9b8,232
nemo_text_processing/text_normalization/fr/data/numbers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/data/numbers/digit.tsv,sha256=tPEzvVkditbKhZzQp4WrDf6n141UupsMGc9L3Mq9t74,62
nemo_text_processing/text_normalization/fr/data/numbers/eighty.tsv,sha256=C3XXaulgiRuSWNudui7F0k2ozGq5nl5nuovDpk5FdTI,14
nemo_text_processing/text_normalization/fr/data/numbers/ninety.tsv,sha256=y3SWQu-epIEF-ltmDGT6UZA30uYI76mSVtZ63oZ147o,14
nemo_text_processing/text_normalization/fr/data/numbers/quantities.tsv,sha256=ReQpD9iIaYwHdsnAyIPW_mVDQeCOlwhhrrB2_9ozbDE,90
nemo_text_processing/text_normalization/fr/data/numbers/seventy.tsv,sha256=VWHF_W-WuaNwOs-4HdirFc-G6c0audG9tyInSo2dw9E,10
nemo_text_processing/text_normalization/fr/data/numbers/teens.tsv,sha256=UgLMPbpN3FVb_9tp_4BUWUTAQ_cqou8kjF-uVIRvrjo,93
nemo_text_processing/text_normalization/fr/data/numbers/ten.tsv,sha256=bGJ-FnONEnYyCovGCt1UhgaM37eeobNH26m6N9FgROA,6
nemo_text_processing/text_normalization/fr/data/numbers/tens_simple.tsv,sha256=wJjeMoeXwuzVgnI_tVjhJwTU2-_Nf59o6gcm4kHkHxs,50
nemo_text_processing/text_normalization/fr/data/numbers/zero.tsv,sha256=PgB86T-9hz38RW4ng1AFtg74-nXrHLdUqE14n31Ni_E,7
nemo_text_processing/text_normalization/fr/data/ordinals/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/data/ordinals/irregular_numbers.tsv,sha256=D6Bk0w3SW7aA1pSEK6cVnKIa5dFDafPGD1dy5c0TFLw,855
nemo_text_processing/text_normalization/fr/data/ordinals/suffixes.tsv,sha256=MqckufVtaPxn00yc02OvHr0yyFpnnDHaqoTGA1HhCwc,55
nemo_text_processing/text_normalization/fr/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/fr/taggers/cardinal.py,sha256=Gkqbs89CfarMZ7Y391PYsIo00eM64dlWy7xPRpePvIk,6737
nemo_text_processing/text_normalization/fr/taggers/date.py,sha256=Q6LAdoJRaGkV7AbzgLpb4kM2Zos8P8kkR8sVY4aXcrQ,3982
nemo_text_processing/text_normalization/fr/taggers/decimals.py,sha256=1tVpR6ttbNPCW2kZRhR1nwQTyLnS_h5vwZQZPS3KoJo,5168
nemo_text_processing/text_normalization/fr/taggers/fraction.py,sha256=aYr5FY89iftesEKuyX2VSdr3OLH2_mroDTig2q9G21U,2947
nemo_text_processing/text_normalization/fr/taggers/ordinal.py,sha256=iHUdxSo1hZ4Q3bPlj6TwF466ZS57t0qC36lQQw3P31I,2075
nemo_text_processing/text_normalization/fr/taggers/tokenize_and_classify.py,sha256=S0qX4eVF03pWlaNqUmzbZEElDh4xZfMQzD-rjGyE7IY,5839
nemo_text_processing/text_normalization/fr/taggers/whitelist.py,sha256=dX6TNENB6pu83PrpT0SgILnMIOMDaOCqszZKY9FikjQ,2812
nemo_text_processing/text_normalization/fr/taggers/word.py,sha256=4QRxiUOooQHgYEsGm1_hM5Hb11o3N4ilBFTCySq_C9s,1329
nemo_text_processing/text_normalization/fr/verbalizers/__init__.py,sha256=qXE8Gei1IgZCUy9H2WIMI3gciaAsldtodAM9iVkPmlU,636
nemo_text_processing/text_normalization/fr/verbalizers/cardinal.py,sha256=3FsNZNVlQMwFNoUAtLWXoWMXdAn3sAI8ZFPbxgAJ21w,1635
nemo_text_processing/text_normalization/fr/verbalizers/date.py,sha256=J9hHKucECQTInojoa6_PQoWXW001U-5LJIiRMKQ--r4,2165
nemo_text_processing/text_normalization/fr/verbalizers/decimals.py,sha256=cpupZfXWYnR6-Q-CsTN6pDVtFcaemwQRPMF61CD2pEs,2814
nemo_text_processing/text_normalization/fr/verbalizers/fraction.py,sha256=6nu62yU73DfxyrTZ8lq7iIFMoQj2LCY-Gh5WIkUpWLw,2728
nemo_text_processing/text_normalization/fr/verbalizers/ordinal.py,sha256=Wr4hsBq2Ur_Tq-tWCmY7iDuT8BV5C8ZQwj8MtthuU2A,3033
nemo_text_processing/text_normalization/fr/verbalizers/verbalize.py,sha256=kcvpokGcIpkqti0WBVsCA5kJo0j0BuUhX9Z1hNiPRGw,2496
nemo_text_processing/text_normalization/fr/verbalizers/verbalize_final.py,sha256=Tos1TND6qMi-oaXmlUggE9IZN2sZ1priu85mCTLryZw,2910
nemo_text_processing/text_normalization/hi/__init__.py,sha256=dwouhmOKfFN9yJdENjv2g3dPsQlUYgGk-OsSBVYrS04,899
nemo_text_processing/text_normalization/hi/graph_utils.py,sha256=jp1eq6ALm0I2Dj2g1k1qW5vyEudpZQFWZYsNyjPYD4E,7618
nemo_text_processing/text_normalization/hi/utils.py,sha256=RDxP5X5gHDqHtt3jqrmpEuLN1C_n5P2uY9sBi1q6qZc,2045
nemo_text_processing/text_normalization/hi/data/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/address/__init__.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
nemo_text_processing/text_normalization/hi/data/address/cities.tsv,sha256=OgGRMljjueU5XVpGIrshaPglqA8YRJ7B4HIQH35eb9M,722
nemo_text_processing/text_normalization/hi/data/address/context.tsv,sha256=6ptIlKCAX5P2kKjvXpUMrFce5nbArVfIwunQlMBHYIQ,831
nemo_text_processing/text_normalization/hi/data/address/en_to_hi_mapping.tsv,sha256=ws5FeBoa1-IeOREWe-knp5giaNta23MNfXgZRttNCkg,53
nemo_text_processing/text_normalization/hi/data/address/letters.tsv,sha256=xZylitzfiLwnDLg9p16jjRrS-EATLy4cdhmBBv3JSYo,260
nemo_text_processing/text_normalization/hi/data/address/special_characters.tsv,sha256=Qk9RVsb7VvO_mMjH02uNtTiitw3o_KqUhMP5RflE1XI,32
nemo_text_processing/text_normalization/hi/data/address/states.tsv,sha256=Yk5wUrxG3fOVtuw9nN_BjycyVnjZH88cUjShZThuFc8,991
nemo_text_processing/text_normalization/hi/data/date/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/date/days.tsv,sha256=eWr6Q1DF1rdJVSn9wqC4_QbXzcLzDyA_OCyUS3q1_Hk,1151
nemo_text_processing/text_normalization/hi/data/date/months.tsv,sha256=pdWg-zIh_WtTY0r7Vg9s9e-y6Lz0evd90rmb6HKVMho,509
nemo_text_processing/text_normalization/hi/data/date/prefixes.tsv,sha256=X-2ValbyBGJ9_AlWKIg8MBJhPx_UW3cQNJDZRBokkJw,29
nemo_text_processing/text_normalization/hi/data/date/suffixes.tsv,sha256=Qdy6yC-83KYB6aEMHKteq2sP-30oGWxVD5i3UOdYZNA,112
nemo_text_processing/text_normalization/hi/data/date/year_suffix.tsv,sha256=tUqtF7SYv_pti9KV4UCGHlSdhdSPTEZz_kZUDOF6Lig,56
nemo_text_processing/text_normalization/hi/data/electronic/__init__.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
nemo_text_processing/text_normalization/hi/data/electronic/common_words.tsv,sha256=q4R0UnXEn4S-9FpS-QVy4JbJONbRA72P8zcrWTgfQE4,4194
nemo_text_processing/text_normalization/hi/data/electronic/domain.tsv,sha256=AMwsB4mBKad4CENHyzUraG11NWsTiFdnzgGzr-wJaac,700
nemo_text_processing/text_normalization/hi/data/electronic/file_extensions.tsv,sha256=yxZMrf6V_JL8QjPEoH-Yb6nccTGckNMvYF1EAMdHZcw,1354
nemo_text_processing/text_normalization/hi/data/electronic/protocols.tsv,sha256=rtZ8JrSEWqDH8Js24SbPtG2LcKFywBzqenXufC8tSUQ,741
nemo_text_processing/text_normalization/hi/data/electronic/server_name.tsv,sha256=zSBT5bPbnPxwrFEzaOvOkBbn2jQJPlqo1xb3aufd5A4,2221
nemo_text_processing/text_normalization/hi/data/electronic/subscript_digit.tsv,sha256=Nxxbebd892hGRUXMhkuEJaM9z2HQhsubPPxOz9Z-6UU,133
nemo_text_processing/text_normalization/hi/data/electronic/symbols.tsv,sha256=2_Jemg1iu0g9EDr1jjvoxoGqGf8I9jXIBImd1LU4kfA,937
nemo_text_processing/text_normalization/hi/data/measure/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/measure/quarterly_units_list.tsv,sha256=5U00w6JiVIutjqXNgbgswk4-HAQBk8CT6_JydrREVOc,77
nemo_text_processing/text_normalization/hi/data/measure/quarterly_units_map.tsv,sha256=DP2cQ_CFZQ2DlkePEaQVoP8LwPshgUBU6UQKFOXQUrs,187
nemo_text_processing/text_normalization/hi/data/measure/unit.tsv,sha256=7jMi8EMJf_uarOiXB9LU_1TqRtW3MaNORFILum2ypL8,4637
nemo_text_processing/text_normalization/hi/data/measure/unit_year_formal.tsv,sha256=Hup-uUSayaHzybm3Tl0_mmFM0LTaKPsGH3Lj-oqZojY,16
nemo_text_processing/text_normalization/hi/data/money/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/money/currency.tsv,sha256=RAVj4z5T1-Y-LPEYXeKubCM5tm3tVg7UcbQQWh0FiPs,145
nemo_text_processing/text_normalization/hi/data/money/major_minor_currencies.tsv,sha256=sZ269g_lMv4lyLlu6ss0UuVlQIM6OrYvOZlC1i71U3k,228
nemo_text_processing/text_normalization/hi/data/numbers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/numbers/digit.tsv,sha256=NlOE1i16r_XDqLCQa5Jhg4lRiYqJLLVrBsLRr_7-_kk,209
nemo_text_processing/text_normalization/hi/data/numbers/hundred.tsv,sha256=_rGUX1wbvc4d4-BTWDMOhcaoUo6FY0jeR3EM9OTg0hY,24
nemo_text_processing/text_normalization/hi/data/numbers/teens_and_ties.tsv,sha256=_6y-yXvKo0jjIvBGc0-cUGeU0X8Rtcak3NxBDx-t55o,2286
nemo_text_processing/text_normalization/hi/data/numbers/teens_and_ties_en.tsv,sha256=PUbgrrSvy2VRprc6R_N4PHQepLfiuKlIrrRoQdHCJ5I,1926
nemo_text_processing/text_normalization/hi/data/numbers/thousands.tsv,sha256=ARONHnIeOgMQ_Mxm7SfrGUe_A8fFLE_GXmU3seXpaY8,367
nemo_text_processing/text_normalization/hi/data/numbers/zero.tsv,sha256=1YQrA8s0FzT7sI1QEUE4UcuhRHaJs-s4H4yTBBBmRv0,37
nemo_text_processing/text_normalization/hi/data/ordinal/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/hi/data/ordinal/en_to_hi_digit.tsv,sha256=yDemRXVv75KNy1-4aN0-movHvmCslyysIeC6fQHTl6o,60
nemo_text_processing/text_normalization/hi/data/ordinal/exceptions.tsv,sha256=lmy9QmCLZhnBJzmYJdoRpg3W2DLUXFqUOlrpu8ha2GM,1197
nemo_text_processing/text_normalization/hi/data/ordinal/suffixes.tsv,sha256=mMvPZXhOwe7Fhj6uZt8Op-CY3bihcu2EJSoosBB0yuk,30
nemo_text_processing/text_normalization/hi/data/ordinal/suffixes_map.tsv,sha256=eNP7zIsNM7eT2imvv2VaS-RArE0caqnrz_pq1s6xs3I,18
nemo_text_processing/text_normalization/hi/data/telephone/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/hi/data/telephone/credit_context.tsv,sha256=i79U_A6iRku8OQkV63Na0iNR5E9FoUl12a6gS3jQtbA,50
nemo_text_processing/text_normalization/hi/data/telephone/landline_context.tsv,sha256=oVqgzvV_ZcvPeG3OGU6CxvRSElcr_Qd_fcz3MlMFg8o,76
nemo_text_processing/text_normalization/hi/data/telephone/mobile_context.tsv,sha256=mGKFfmAh7JedYwTx7Aw4Bs8DOtvO_UUQvkb92Yb8Byk,51
nemo_text_processing/text_normalization/hi/data/telephone/number.tsv,sha256=cDnoB3k0c0yUDOZIyzQ_w7ad1lKECdz7we0wdsy86Rk,113
nemo_text_processing/text_normalization/hi/data/telephone/pincode_context.tsv,sha256=evq5iDD8ZmyJJwoKwJIUsEEeU6mz6-pS2Z5fCmde2us,51
nemo_text_processing/text_normalization/hi/data/time/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/time/hours.tsv,sha256=M57DLf-WIQmQwP7K7vj6UvTLRUDXqwSAnYd4v1sqRC4,835
nemo_text_processing/text_normalization/hi/data/time/minutes.tsv,sha256=LcfLaHfmSZ58CEv13Lofcj2oBaJmk4V29oZMVza6yaQ,2537
nemo_text_processing/text_normalization/hi/data/time/seconds.tsv,sha256=LcfLaHfmSZ58CEv13Lofcj2oBaJmk4V29oZMVza6yaQ,2537
nemo_text_processing/text_normalization/hi/data/whitelist/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/data/whitelist/abbreviations.tsv,sha256=NmjpGgqYmGOP7FkI_YI_tmJ_2ZgO9JDwoFTrnhogaU4,227
nemo_text_processing/text_normalization/hi/data/whitelist/paune_mappings.tsv,sha256=BmI36fTTLn7hNxqxyZiPV5j3tqLm0NoUnbtzrzuk9YY,2418
nemo_text_processing/text_normalization/hi/taggers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/taggers/cardinal.py,sha256=ofNwtNZpHod9te0TdShuhHT7E748ZjZvutZNG56iWSA,24239
nemo_text_processing/text_normalization/hi/taggers/date.py,sha256=26ZHY_FBCcT-BpmwDqJQk3l2Tiii62H4EeO_gZW8Geo,5958
nemo_text_processing/text_normalization/hi/taggers/decimal.py,sha256=biXtS1xaVGbAkLI_6BikcmRnUSe4vn2C2R9jr29hTyE,3350
nemo_text_processing/text_normalization/hi/taggers/electronic.py,sha256=XtDX3kuflWZdZisQla6czMvjiX98JL2fiMghFiezj8U,8155
nemo_text_processing/text_normalization/hi/taggers/fraction.py,sha256=nlb_jAXciIpLDagXnJq4fANfSPgZ5IR_UoXmoBF6Hl4,4518
nemo_text_processing/text_normalization/hi/taggers/measure.py,sha256=dHduvFZ3RQL-KNWRe-6yUOmKKwbhTLOVB7tM8tR-FmI,19011
nemo_text_processing/text_normalization/hi/taggers/money.py,sha256=DqVnNAfYtU-zkB1Z481_l-qJ5r4Ko1mPzpFEDHY99Is,3077
nemo_text_processing/text_normalization/hi/taggers/ordinal.py,sha256=-UZekqB4qHGZnKVq3m9CYPEPXecmGSealbBSr3p2zPQ,2571
nemo_text_processing/text_normalization/hi/taggers/punctuation.py,sha256=JpUgXpGctAUqjDSBzsFXm4Fqp8_tqtaIBHom5wA--b4,1705
nemo_text_processing/text_normalization/hi/taggers/telephone.py,sha256=bkUx3HsCzX-Uny7Np18QAdqIRWsPEVG3q7tjE_M_7Hg,8112
nemo_text_processing/text_normalization/hi/taggers/time.py,sha256=xaD1-5zFXn5vykpBbUumBYdQBpzW2nIn8neDFKEoSfY,5103
nemo_text_processing/text_normalization/hi/taggers/tokenize_and_classify.py,sha256=k-ZMu9zpPzhzBj7y1D7WUQyTj7MKx7YCVWi8-47hi4w,7256
nemo_text_processing/text_normalization/hi/taggers/whitelist.py,sha256=aa9xF-6ZBLhcVG8hiS-_ZtjOJFQ6IH6KrcisLFwAJT0,2616
nemo_text_processing/text_normalization/hi/taggers/word.py,sha256=l8sBcGGgXwik9K3SnjM-XpMwDGhB8F4SHcm7LS_zZuU,2549
nemo_text_processing/text_normalization/hi/verbalizers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hi/verbalizers/cardinal.py,sha256=pk868D-FrZff48crl5LM5ObVK7dWwoqP1AOmC9ZFk0w,1955
nemo_text_processing/text_normalization/hi/verbalizers/date.py,sha256=8A0pxTzUUBF0piYMWO-iaWdtVE5nujozyo3RPc4ok2c,2906
nemo_text_processing/text_normalization/hi/verbalizers/decimal.py,sha256=EnowPAyuJvmTu6maFvf8u24WWk-dKuxljp0h4qH4AM8,2487
nemo_text_processing/text_normalization/hi/verbalizers/electronic.py,sha256=yTlOLEev_fUkdIi6rCUhZfMfo9CNJuvmudfk1M8mPYM,7128
nemo_text_processing/text_normalization/hi/verbalizers/fraction.py,sha256=hLGdUrB8i4u2ksVHe4KezywHdlP6_z-cqBGCnIsdCn4,2545
nemo_text_processing/text_normalization/hi/verbalizers/measure.py,sha256=oDx0-0lwnScR6tD8OeR_fgvPGvPjQqb2uv7enTVb7pk,3104
nemo_text_processing/text_normalization/hi/verbalizers/money.py,sha256=CTFjRP-hMrqyr1gDh7Mp0gawhjPC5RKXKYjE6r-vueQ,4162
nemo_text_processing/text_normalization/hi/verbalizers/ordinal.py,sha256=n8yycNm_kmbasZJNGr2GJvEpfhG5N6XvHdAs-8BOkeE,1605
nemo_text_processing/text_normalization/hi/verbalizers/post_processing.py,sha256=zDYeZmUAXN7vtmFyT7x5VxS30lvbtVnT-u0xBHIOBws,3864
nemo_text_processing/text_normalization/hi/verbalizers/telephone.py,sha256=cZcWlGsiJ1bg9VUceZHXMKHEEaTpx-xtyWVtr9LQ8Yo,2813
nemo_text_processing/text_normalization/hi/verbalizers/time.py,sha256=rGU-A4NFYVvQq1h9rH1eQBW_ZAugxwYyVDQfSXJLAIE,3006
nemo_text_processing/text_normalization/hi/verbalizers/verbalize.py,sha256=RAOI6OCHdo3Dr7AbOY6cc-rvcSbQEBPnIUN_AHe19WU,3523
nemo_text_processing/text_normalization/hi/verbalizers/verbalize_final.py,sha256=NBtRWHSnTSU1UIfmGTGXfGenA4SEtSUI2UinWd2-nvk,3164
nemo_text_processing/text_normalization/hi/verbalizers/whitelist.py,sha256=nsoWh06r-HvmGlwNxu6StDMnHLHdlQh-NyX2KrzMYrA,1584
nemo_text_processing/text_normalization/hi/verbalizers/word.py,sha256=3Qv0LON6dEkxJ-GFahBRlz1Zm9yF7T22eyJdnWWK08k,1873
nemo_text_processing/text_normalization/hu/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/graph_utils.py,sha256=jbT5TF7hTg_w4JePFV3J0E2TZiZtLfLerAnK6f8adsc,1546
nemo_text_processing/text_normalization/hu/utils.py,sha256=mzH2nm0p3Z0yIYBBmpkmKt8MM-s-XNPSR6Vq5K7_DgI,5504
nemo_text_processing/text_normalization/hu/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/math_operations.tsv,sha256=Y8kcBeiGYasgwmeUTuGJBxOLkvMGSgOaCNOAXRu133c,81
nemo_text_processing/text_normalization/hu/data/whitelist.tsv,sha256=wDNPqzhapKAEAUhPKu8yNYCx7LSNmQtiOe1dYXlWXCA,354
nemo_text_processing/text_normalization/hu/data/whitelist_inflect.tsv,sha256=UtL8GRVsmYlSsZggSOy97bAQQKOBCns0A6dS9ikTxKQ,548
nemo_text_processing/text_normalization/hu/data/whitelist_inflect_sg.tsv,sha256=hHBGF1qfWE0k5skFrYFaL3BUh5UrASy4iUUNPSK043o,291
nemo_text_processing/text_normalization/hu/data/dates/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/dates/days.tsv,sha256=kAqeO7BsdAWSz6nnVcDSOXXdN0Ct1V7Re9-bSLpZEKg,499
nemo_text_processing/text_normalization/hu/data/dates/days_to_numbers.tsv,sha256=I01_BVG48M9XZxusPUBFi5YsCj2T1yQnZRvre95fA6E,694
nemo_text_processing/text_normalization/hu/data/dates/month_abbr.tsv,sha256=pwNgS5e54XwUfkmZ_pCsLuJ96YidyBB6DFjF-7ux_sM,162
nemo_text_processing/text_normalization/hu/data/dates/months.tsv,sha256=_flAQgF5ipsS0RTPaSprgcHvJ_nQLuMnp3bnXo3IgKU,132
nemo_text_processing/text_normalization/hu/data/dates/months_roman.tsv,sha256=PbfPvMxAS3gTTv66Hbng-8PzonfeNhqY1Ni_ZF4dmHw,143
nemo_text_processing/text_normalization/hu/data/electronic/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/electronic/domain.tsv,sha256=iP_-r83gxpLN_dlb0pcVZPIvrPwXR9PI9x40pD-X-ks,198
nemo_text_processing/text_normalization/hu/data/electronic/server_name.tsv,sha256=gXWPOecM0iXUdaszLhVpdf7tnDzszlqve9Tl73lsRiw,100
nemo_text_processing/text_normalization/hu/data/electronic/symbols.tsv,sha256=rk7Mzwx1ORXO46d4DwguQMWKjEasJopNotDpqJ0bR8Q,353
nemo_text_processing/text_normalization/hu/data/fractions/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/fractions/fraction_symbols.tsv,sha256=4ZF1IyiImxL0oDODnMRUWNsqOh78mViLut8FSfgEYKk,150
nemo_text_processing/text_normalization/hu/data/inflection/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/inflection/endings.tsv,sha256=m9bKq1j9_nXadcECzg6qchHfL0z9R2k1OEH0I4pFB2M,3803
nemo_text_processing/text_normalization/hu/data/inflection/plural_endings.tsv,sha256=UXyY23VHgDcHEkpCtngu31MHJaOq5SvOtatH1hAm6BI,281
nemo_text_processing/text_normalization/hu/data/inflection/word_endings.tsv,sha256=_NEQ-LadpaXjsGwnWfVnutBYbwmigwFgT9urwUNnelk,105
nemo_text_processing/text_normalization/hu/data/measures/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/measures/greek_lower.tsv,sha256=36ud_SWtWU3uPIiOHUHnNhcIbtMzI9efB7eJy-JjF7g,215
nemo_text_processing/text_normalization/hu/data/measures/greek_upper.tsv,sha256=GOODNaaWWe4ZvBlMcA9HhsYcK6XMaiQ71xP_03ogsYA,215
nemo_text_processing/text_normalization/hu/data/measures/measurements.tsv,sha256=bo6ye3ormNImySJFd3hf2aNC-VPv__ldJ1SsBR53G54,757
nemo_text_processing/text_normalization/hu/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/money/alphabet.tsv,sha256=LNlcaKK74Vf49rmRXlQ0w4YxHK9HyHG4b9HiPvR8Mhc,278
nemo_text_processing/text_normalization/hu/data/money/currency.tsv,sha256=q8qWgoJdzFDKjAadtPC9pOVIF9ooA5aePhWggdeKwKU,166
nemo_text_processing/text_normalization/hu/data/money/currency_minor.tsv,sha256=9lav0xEYRA7ssf0ne4xafBFxwqvmLT8f_VlLz7sHLwk,106
nemo_text_processing/text_normalization/hu/data/number/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/number/digit.tsv,sha256=WNUitLWPd5EGNEicajvc45XxMatJUky9vCgbsEGPh2E,68
nemo_text_processing/text_normalization/hu/data/number/digit_inline.tsv,sha256=RIzbPEnPx_r8uDaB593obWRc7KoT7Z5H9JQPu2GjpHg,66
nemo_text_processing/text_normalization/hu/data/number/digit_nom.tsv,sha256=OwVLqxKvN2RLNAJs3L9pDg9trd3_AtJBwnS7zy6I7Dk,111
nemo_text_processing/text_normalization/hu/data/number/quantities.tsv,sha256=Irf8_6v3k-SG1ITZqw_rmbQxpNHuUyK6Q8r8qoUMfVE,250
nemo_text_processing/text_normalization/hu/data/number/tens.tsv,sha256=ei0WboeYTzGp1hfB1whOoEev-etz4An9Hbdyo43yhC0,94
nemo_text_processing/text_normalization/hu/data/number/tens_inline.tsv,sha256=SsOmF_B6xqWDYiB718m27ujh19VcBYvcjzE3DIxUHk0,87
nemo_text_processing/text_normalization/hu/data/number/zero.tsv,sha256=EN5oWyH95pL-Tu0Ag72wnTj8FheVwRxBJ9xKxT-fVuA,8
nemo_text_processing/text_normalization/hu/data/ordinals/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/ordinals/endings.tsv,sha256=MDRjz5Q0ifZCzfJeyCS5pZ_a-QlGChV_rKGMpsFla4Q,382
nemo_text_processing/text_normalization/hu/data/ordinals/exceptional.tsv,sha256=mLmGb34DgDMuCBnixOWDN50-ALKPAQv0dQW5KSDyBK0,55
nemo_text_processing/text_normalization/hu/data/ordinals/superessive_endings.tsv,sha256=B9Rzd72Bos9YNsalyHFU1zIIed5IMhc2KA6WQejRVCM,63
nemo_text_processing/text_normalization/hu/data/ordinals/superscript_digits.tsv,sha256=ZMTVbWNTcoW2D1RAneKer5rUTywtBO6JG35mF7baSXE,57
nemo_text_processing/text_normalization/hu/data/telephone/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/telephone/area_codes.tsv,sha256=XPF-RStzAtgjWjdQHr6b4ngUSLE7ptzZw4LzTS0MaYc,212
nemo_text_processing/text_normalization/hu/data/telephone/country_codes.tsv,sha256=CgNTDQU40y_Ot4mmnky85eeKyq3eGXUrg1-9-CMyNf0,804
nemo_text_processing/text_normalization/hu/data/telephone/ip_prompt.tsv,sha256=1CKnBWPlOZKKKDeJDA9BLRucd5c39vi7HatXyG8CkjA,19
nemo_text_processing/text_normalization/hu/data/telephone/special_numbers.tsv,sha256=I4lqZXTmryTu6wK0x62CQX0mV6Y4YELgqqrJaANicmQ,44
nemo_text_processing/text_normalization/hu/data/telephone/telephone_abbr.tsv,sha256=GnuyDqVVXYavHu3W-QbX2qUJxdPaYgUJNybs_tjHNZ8,29
nemo_text_processing/text_normalization/hu/data/telephone/telephone_prompt.tsv,sha256=2szCH_ZNNfff1Mml3TvuvLk5mkqmNQ-VoFaYoYyyP78,10
nemo_text_processing/text_normalization/hu/data/time/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/data/time/time_zone.tsv,sha256=7WPupoEJPw_i0zWNuGwxOVODPUdt_8835n0SwDjNjx0,87
nemo_text_processing/text_normalization/hu/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/taggers/cardinal.py,sha256=ltI74UkbAvGnskNlY3fgV30fvL3pPWgaMuZ-NB6Bin8,12462
nemo_text_processing/text_normalization/hu/taggers/date.py,sha256=BHnoGZmfQKHTvROq1Bl0Jp_gYJh8AwDpeR_-LUU3zxE,10473
nemo_text_processing/text_normalization/hu/taggers/decimal.py,sha256=RXmSbWCSPy1CqE7Lud767hoOYtvmpF2MieVt-UvM4rQ,5763
nemo_text_processing/text_normalization/hu/taggers/electronic.py,sha256=I4P4YAeDJ_iggysH2rdX2jWA46TgT6bLRO-txPxBpcA,4292
nemo_text_processing/text_normalization/hu/taggers/fraction.py,sha256=sqeolwxJIK7MjKzrMJdg7_viXuk0vSwI2CezQxCsfqI,2466
nemo_text_processing/text_normalization/hu/taggers/measure.py,sha256=hslbMapS18eJwz1T7d4f_0MQv23OzqN3B1ZMouienDc,5773
nemo_text_processing/text_normalization/hu/taggers/money.py,sha256=VtffXLK7sOXtYfaAa9_NB3UbgnlHpPSTg_07u_RBKaM,7804
nemo_text_processing/text_normalization/hu/taggers/ordinal.py,sha256=LtSAvM1n1qU1QH9WQyt_5PrxEAml917Hp7IR_e_A1vc,3362
nemo_text_processing/text_normalization/hu/taggers/telephone.py,sha256=Uwz78aeDntZb21V3N0QLiSqrWG_7jJpxc_rsmXDt6p0,6705
nemo_text_processing/text_normalization/hu/taggers/time.py,sha256=iQ0mIDU2D-fCqmgzBBpqV6TqIjqK6PKDeIRqMPwzDEM,11407
nemo_text_processing/text_normalization/hu/taggers/tokenize_and_classify.py,sha256=djaYiQRVg1v0R6zaDv1_RDnXOmSDnX_JlQwL5ydJi9Q,7569
nemo_text_processing/text_normalization/hu/taggers/whitelist.py,sha256=KXgMHtBzucDRCuv3JrQX_ymOJJRaz-nakyMLWjfcSvg,3686
nemo_text_processing/text_normalization/hu/taggers/word.py,sha256=nES0V8QjnqHASUIJMQDAfaozTm3batpOZjRcBhis8yQ,1327
nemo_text_processing/text_normalization/hu/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/hu/verbalizers/cardinal.py,sha256=6GKhcywJlj7eXqLO8_JMj8L1ZUUtXR6p7rT17gtoFl0,1767
nemo_text_processing/text_normalization/hu/verbalizers/date.py,sha256=d2gGwr_8_1bW-yDi4EtOYqRQgXE8as_QttCO740kxKE,2022
nemo_text_processing/text_normalization/hu/verbalizers/decimal.py,sha256=TLFAAysOODR5EDfFYgFAGQ3ziwDQy8BwfI-TuX3JtMw,2989
nemo_text_processing/text_normalization/hu/verbalizers/electronic.py,sha256=EvqdVxQjrAeK2RInwZdLOTgyKiNTMCST6ocv4CiHgOo,4239
nemo_text_processing/text_normalization/hu/verbalizers/fraction.py,sha256=GLNxC1kNdgi29-g31kepwipykC1gnx44YNGRCs2a320,2368
nemo_text_processing/text_normalization/hu/verbalizers/measure.py,sha256=vb0tiGSn29zkveKn1C-XVLYmo_SGCs71UFqqPYsyH_0,2125
nemo_text_processing/text_normalization/hu/verbalizers/money.py,sha256=b-YcbM9CW3gpwJaW6WOa8IiP24WLhkACOZmi5pv2ZSo,3493
nemo_text_processing/text_normalization/hu/verbalizers/ordinal.py,sha256=ZNdXk_yBOlh8Zw5SAXhjyy1vOJwRGpjb-PVEAktJy8Q,1583
nemo_text_processing/text_normalization/hu/verbalizers/telephone.py,sha256=P2fNvZ3JnXxiJInoKlpdLNWDwhzOpGWTge5Q5WUw44Q,2399
nemo_text_processing/text_normalization/hu/verbalizers/time.py,sha256=g9SvFjCjuT8VGLmvfP9MzwMEIO3gSGsmYm-44iSgcSc,3983
nemo_text_processing/text_normalization/hu/verbalizers/verbalize.py,sha256=Rp0qEPGM7OM2RlQp_8pyxtAr2LQCcNqi8bi9ZumwYJQ,3588
nemo_text_processing/text_normalization/hu/verbalizers/verbalize_final.py,sha256=h-W7m_5Wzz9uPNQuAhorsZ7oPMEHFcF5dePtKooRvWQ,2911
nemo_text_processing/text_normalization/hy/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/text_normalization/hy/utils.py,sha256=CC5Aea2-QAKY9VoARUAOZK1IotuIdtv9tdVUhhP4Y1M,1162
nemo_text_processing/text_normalization/hy/data/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/text_normalization/hy/data/currency.tsv,sha256=CPg75qyF0jJ5X8G-jkb-Vm26Hd_v6C_AayQu_PzbGxU,1343
nemo_text_processing/text_normalization/hy/data/measurement_dates.tsv,sha256=YSTh7k0pqAKkPUfFOlDCqRxSQg4xdRhNmiQedZtZeGE,147
nemo_text_processing/text_normalization/hy/data/measurements.tsv,sha256=gnmFLdl2uWl93GyJbvSWxeEGbaaKow3_GsEA3OwOfgA,967
nemo_text_processing/text_normalization/hy/data/whitelist.tsv,sha256=zq-jU_40JuaB1qh4atamh2rA180F-UIRBgshpPT0jng,624
nemo_text_processing/text_normalization/hy/data/numbers/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/text_normalization/hy/data/numbers/digit.tsv,sha256=aCHOvuWg6sH7jTo2PXV5p1-tZto4fpPVwA1XYlosY0o,90
nemo_text_processing/text_normalization/hy/data/numbers/quantities.tsv,sha256=LoS52DBMxBhFkA9RZYOB8g2QiwpyH4rR1UNJJNYR_AE,42
nemo_text_processing/text_normalization/hy/data/numbers/ties.tsv,sha256=BuvALaUuYe9gmqVnuHKqtUm7wrGhgu1l4E2F4n14H2U,135
nemo_text_processing/text_normalization/hy/data/ordinal/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/text_normalization/hy/data/ordinal/digit.tsv,sha256=TbFCGzlbhV3NxRLyRmLf34fx7ecyCiEl7P7PjrixpK0,123
nemo_text_processing/text_normalization/hy/data/time/__init__.py,sha256=Jv-TMFBq0jhl6kV9WQ9errq3QAj2T5r4s4c3Jpz0DY8,623
nemo_text_processing/text_normalization/hy/data/time/hours.tsv,sha256=BRKw7BIhb7ZbqLm_zDkQeNOOsl38GFFg61GYfbSO3PM,427
nemo_text_processing/text_normalization/hy/data/time/minutes.tsv,sha256=-vhruv8M-fse76qsnEPdeuUpS70aSV1iXavwjqftkV0,1235
nemo_text_processing/text_normalization/hy/taggers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hy/taggers/cardinal.py,sha256=6KxMfRggAUK65C79huGku9DhIpbS0yU3dopPpr5j0LY,4305
nemo_text_processing/text_normalization/hy/taggers/decimal.py,sha256=-mETQ554YFDPE67ONXjCj67oNcDYtNMs0CBqBFi7Mwc,3504
nemo_text_processing/text_normalization/hy/taggers/fraction.py,sha256=hVfcORXy4JsY-QhLOPkBGpKse2hpVI5ckzCdTmQTKZ0,1661
nemo_text_processing/text_normalization/hy/taggers/measure.py,sha256=RDhRvXGWNSI4sT-ki0U_d1AfPlTw__a0WwjSEXUAH8E,3579
nemo_text_processing/text_normalization/hy/taggers/money.py,sha256=BTjD29uD12I3knMRPMT12CZ13SPupgcW0NFYk5Zjj9E,3276
nemo_text_processing/text_normalization/hy/taggers/ordinal.py,sha256=BoIplUZ4AuJpfJtcwM2TBtjwytqmtl0gJGBuDL2DVJI,3214
nemo_text_processing/text_normalization/hy/taggers/punctuation.py,sha256=95uXHog3uNOzQexU0kJo5pLGlsVCgPjstaPO1f-Olco,1156
nemo_text_processing/text_normalization/hy/taggers/time.py,sha256=xkVryAKc6UvFw28dxriKXpUoT3EwDcBj6u9AFdEO_Lc,1644
nemo_text_processing/text_normalization/hy/taggers/tokenize_and_classify.py,sha256=dPK6h1eVZK2b66FWcyHKjJkf1uzRnrUzgU32y1munhM,5031
nemo_text_processing/text_normalization/hy/taggers/whitelist.py,sha256=bw_O7wUFoWq8CAm_47n570XqYjUGY11ppB3OArj9F18,1957
nemo_text_processing/text_normalization/hy/taggers/word.py,sha256=M2n3d2r_kLKjAR6YUceKNzYQnVheJe8WBoiVmCOHGgE,1164
nemo_text_processing/text_normalization/hy/verbalizers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/hy/verbalizers/cardinal.py,sha256=3z595Xzgi0ncgnNHHkjGFSehmq4yE6xhp_-a9smOIUU,1321
nemo_text_processing/text_normalization/hy/verbalizers/decimal.py,sha256=3aqOlYgwMU31z910QpBFqHyJgUQrozFjTA0c-u2OGJg,2245
nemo_text_processing/text_normalization/hy/verbalizers/fraction.py,sha256=Tvol_2nYp4OkvSz2YYx-oErn-att-SbI7X-Azoh4JJc,1714
nemo_text_processing/text_normalization/hy/verbalizers/measure.py,sha256=VovI4-zYHW3eYaBmSCntHkeG_hYunQ_qzm_HGx0jx3o,2744
nemo_text_processing/text_normalization/hy/verbalizers/money.py,sha256=V5suXTFqCHs_N3LsqwdMJU9nJem5H5fuQ8fXjEx1rDA,1486
nemo_text_processing/text_normalization/hy/verbalizers/ordinal.py,sha256=2UyKr-tH5WhUk1XdFkCYCMC2ng4ejwdOQ3J1MZIsnHo,1473
nemo_text_processing/text_normalization/hy/verbalizers/time.py,sha256=OIYuJHtCAMJIt90-Z76G8iyLlcOLlKxks6ctSbjhmwQ,1566
nemo_text_processing/text_normalization/hy/verbalizers/verbalize.py,sha256=8Jh3FpXETQiyD10EgYeccLmkjePi11NHWGaYfpARe8w,2648
nemo_text_processing/text_normalization/hy/verbalizers/verbalize_final.py,sha256=B9rF41JV5-6kI7-hiEocAmba4voomXfObBe2ipn323Y,2301
nemo_text_processing/text_normalization/hy/verbalizers/whitelist.py,sha256=98Bghyhju3yU_Ew7dsTjz8oB5Mx0eQR2bOVMyGcvHWk,1290
nemo_text_processing/text_normalization/hy/verbalizers/word.py,sha256=Gjl4mUXOy00033XGL6gtSqGAGiKSgHD2N1FIQP9ws20,1520
nemo_text_processing/text_normalization/it/__init__.py,sha256=shIJt1cva0oSou3PoCGLLPbIf4Oa4nPUbfaSg3ZIKQI,912
nemo_text_processing/text_normalization/it/utils.py,sha256=HmFH9I2VkPizNn-E7CIhy9olUTWfCkmkY9tN_4n54tA,1156
nemo_text_processing/text_normalization/it/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/data/electronic/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/data/electronic/domain.tsv,sha256=PlWIYSenPyh1ZRJ5w18gj6Grtj1x7Wf2DRtDY8rG4t8,202
nemo_text_processing/text_normalization/it/data/electronic/server_name.tsv,sha256=KxwyqBLkT43xGbfAlwMZA04EPqWHwVYHHIahK4XKYKg,73
nemo_text_processing/text_normalization/it/data/electronic/symbols.tsv,sha256=2C_bAcpEgcZr4J4B9uyDMjqYvCBDdS6d2XFbSvJVQNY,277
nemo_text_processing/text_normalization/it/data/measure/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/data/measure/measurements.tsv,sha256=_oXvdWwlG9x-SO9RaMYJuId9YVTEaJFwsR5bVUFP0KQ,833
nemo_text_processing/text_normalization/it/data/measure/suppletive.tsv,sha256=2C5coI0FUzSNJhYZMAqyu6xjmsQ5phudmfnncIuaoRM,189
nemo_text_processing/text_normalization/it/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/data/money/currency_major.tsv,sha256=9lU1PjRbB3u-X01-Bma0DsRoH80-B9aoSl7eSQxXypY,157
nemo_text_processing/text_normalization/it/data/money/currency_minor.tsv,sha256=RPoM6hS5SOwOk585JrwA8_ooSONIDxVoasc167zLbVI,132
nemo_text_processing/text_normalization/it/data/money/currency_plural_fem.tsv,sha256=jlhNndHvOYfl6DWQgoUWqDmlOmOwPsoD0_Xo7T6shDY,30
nemo_text_processing/text_normalization/it/data/money/currency_plural_masc.tsv,sha256=YSHwOPzap_t2BR9yYwc_2sJXQoL9FClrhomyfworVeM,236
nemo_text_processing/text_normalization/it/data/numbers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/data/numbers/digit.tsv,sha256=owPCIUYILiLmq3xNBSOGMMQjj-exanE5gedMzELS1Ks,64
nemo_text_processing/text_normalization/it/data/numbers/hundreds.tsv,sha256=PPeQJZS4wjLEgtQK3zmYslrJDvG8qH6Q7viFaYNZ2UY,98
nemo_text_processing/text_normalization/it/data/numbers/quantities.tsv,sha256=g2bS1CG9D3zjBZUJ7Kxlv0rtL7hjAvCoa-0Z77IYixA,16
nemo_text_processing/text_normalization/it/data/numbers/teen.tsv,sha256=AFKHQdvyRiPtQXw8r9y5bjK1LyMApvSufE6g0XOVls0,117
nemo_text_processing/text_normalization/it/data/numbers/tens.tsv,sha256=HQdKzxgYsymIbKWtPbeChTyevpsXB5fJ6Gfj6m3_dWs,81
nemo_text_processing/text_normalization/it/data/numbers/tens_eight.tsv,sha256=h8ChULWG-P6c6JEYKZwYs-hPnZW4d_UNk6y_0CGf18c,113
nemo_text_processing/text_normalization/it/data/numbers/tens_one.tsv,sha256=yriqsYaJRRHDyC72tWqd5nykosOuQSOFvtlS7p700fo,105
nemo_text_processing/text_normalization/it/data/numbers/zero.tsv,sha256=9Lfr8QViOIxgmNx_SMwScaBuB84lkULljiDRGc2s5Is,6
nemo_text_processing/text_normalization/it/data/whitelist/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/data/whitelist/whitelist.tsv,sha256=gpnzOD2oqkfW6omdIDjNa-elS-lqPJyLyL0leMRD_s0,1051
nemo_text_processing/text_normalization/it/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/taggers/cardinal.py,sha256=jIZrdFe2VGL6xPRVylrhLXfqE3mpdtJSFhZ1LlNuXrg,7836
nemo_text_processing/text_normalization/it/taggers/decimals.py,sha256=3-mhs71Pa-LZNXWeqo2CtMSt2hVN9ZMB7VfkK4tCh_k,5056
nemo_text_processing/text_normalization/it/taggers/electronic.py,sha256=nYp4G76Ugc0AL6OpYBTTGtO6BKzz7J-bmzPjqReeSG0,4123
nemo_text_processing/text_normalization/it/taggers/measure.py,sha256=6GgMWAB4EJDvFpzAXpmjIHqPuVZSs8CqtoaKVg_7R_Q,6021
nemo_text_processing/text_normalization/it/taggers/money.py,sha256=ysUvUcROsY2l6EmW21nHH1NVZ5spHjHzQOfEg0Hg7qw,8241
nemo_text_processing/text_normalization/it/taggers/time.py,sha256=oqv4ZO3O1vMVqU8jyHhyzg886QKVPIw05gPqKO2wWoo,3301
nemo_text_processing/text_normalization/it/taggers/tokenize_and_classify.py,sha256=kmrMV1IU98aqkIPol_bS-fRtz_qCBrNuC1sWB2ARB7w,6030
nemo_text_processing/text_normalization/it/taggers/whitelist.py,sha256=_Jy6LKIkNuSZIv3riVjTY0HTtq_p0mOTYbGmHUN9In8,2877
nemo_text_processing/text_normalization/it/taggers/word.py,sha256=eehtNCnkBYKOL6FGEPSPhhIz-NdnxqhNOWtFTroKz-E,1332
nemo_text_processing/text_normalization/it/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/it/verbalizers/cardinal.py,sha256=PQ-quwRO2NrDFVvirc-VDeo81g1JVmMsjzB0xldOlaY,1731
nemo_text_processing/text_normalization/it/verbalizers/decimal.py,sha256=HT8WOMTO9XekCAEpEbnmUIWg3iK27qklooexZdWPvLc,3023
nemo_text_processing/text_normalization/it/verbalizers/electronic.py,sha256=l6nWtvImcRXM13GdBXNhZZdgYW1ej2BV5em7lPrQfU4,3662
nemo_text_processing/text_normalization/it/verbalizers/measure.py,sha256=lLGX4iGiF2eB5FMukmfE0SpK0HZGhkeTsRsT_DutzAY,1898
nemo_text_processing/text_normalization/it/verbalizers/money.py,sha256=g2Ez6wOatYDAGmmapGBo_2xu2BVieDNECu5diHjMtgg,6203
nemo_text_processing/text_normalization/it/verbalizers/time.py,sha256=8icn0_bJvtBUKpjXN0UTFRvhTJ9ql3FEb6qejwiYCLM,3707
nemo_text_processing/text_normalization/it/verbalizers/verbalize.py,sha256=haVY8K5EW8Fp82z7iHXgweHg52xIcIdQt00EZY-IkQY,3015
nemo_text_processing/text_normalization/it/verbalizers/verbalize_final.py,sha256=KkOxbAKXpWxfHjTtYMH0E3tMJd74v6vGLzxtCa6kVhI,2827
nemo_text_processing/text_normalization/ja/__init__.py,sha256=oUSOSx24O2eC4FloHl0BlQpTfpYjXQFloaaHQTMrnso,900
nemo_text_processing/text_normalization/ja/graph_utils.py,sha256=j-wjZ52Uf9iH2I7JflBtQWNaN8zM27SNnx3nYQODSik,9390
nemo_text_processing/text_normalization/ja/utils.py,sha256=K2UDfrpIzBS9ELCHVJ_YUtbvGWCJo1R41BEqzoAeMbc,1518
nemo_text_processing/text_normalization/ja/data/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/ja/data/symbol.tsv,sha256=NPL8UpMsEiMSsLA-MmmghEFzRPX9pzIFhOtGIHzCy_I,373
nemo_text_processing/text_normalization/ja/data/whitelist.tsv,sha256=FidiT0NOeWRFpxwYTJULbH-Ns3KWcpu0X-tM6j0ktg0,643
nemo_text_processing/text_normalization/ja/data/date/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/ja/data/date/day.tsv,sha256=VsKKwGTDh-5axkO95xWgmH0zyZ0uVrmqdIoZNcVYWTk,300
nemo_text_processing/text_normalization/ja/data/date/era.tsv,sha256=v1Cemrc2u8qjzBIsxJkuvyHxlFU0CLkBdEtzEfqj1wU,104
nemo_text_processing/text_normalization/ja/data/date/era_abbrev.tsv,sha256=QKo9JkCKen881pEEQ-L0CxMhmDawwgUAiqeuiB-vw7Y,49
nemo_text_processing/text_normalization/ja/data/date/month.tsv,sha256=fAP-IksO_hCcl-Qf-C98sMHd5W9B2a5S80rEl1fUw_M,80
nemo_text_processing/text_normalization/ja/data/date/week.tsv,sha256=gVP0QnF7nuCZVd0RyUlOX04AXFGBN_2F89RxVlIRqz0,178
nemo_text_processing/text_normalization/ja/data/numbers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/ja/data/numbers/digit.tsv,sha256=c4I2NWrDhSGOu-bSaBddAc6hyaCIq9DdqHPQOYQa24A,53
nemo_text_processing/text_normalization/ja/data/numbers/teen.tsv,sha256=mBV2W3bJ8YQewZpk1YYa31IkT5n5AAV78lUH37PzEKA,96
nemo_text_processing/text_normalization/ja/data/numbers/ties.tsv,sha256=P2QdEfK5bcFKiiRCp9UIG8R_e3sfepn7TCT5I3BYR7A,71
nemo_text_processing/text_normalization/ja/data/numbers/zero.tsv,sha256=CEI5ECL-Cx1nPDGsZbMsHzaNVnuQZXKwV2-43gqoAfQ,5
nemo_text_processing/text_normalization/ja/data/time/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/ja/data/time/division.tsv,sha256=LBiGPms8O8hQwAgS2otd8MMYnBilnuMLP9Tf9Dr7wFs,163
nemo_text_processing/text_normalization/ja/data/time/hour.tsv,sha256=zVXWLKI0eC7CHf7UftvirH9Rp9PLhU9MTBKNxUYwcSo,212
nemo_text_processing/text_normalization/ja/data/time/minute.tsv,sha256=DOtT1Rd0KWRZ8S7L180DMtNR7eQH_Uvu9TV23gScSjQ,668
nemo_text_processing/text_normalization/ja/data/time/second.tsv,sha256=DOtT1Rd0KWRZ8S7L180DMtNR7eQH_Uvu9TV23gScSjQ,668
nemo_text_processing/text_normalization/ja/taggers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/ja/taggers/cardinal.py,sha256=W4_4B3DQlEohR-BsqJutmDQMBel_hLgJBqFm7oeNFW8,9262
nemo_text_processing/text_normalization/ja/taggers/date.py,sha256=kJtkE1pkGcLmrvH0Qb7yqj2jTaoBgxa1EpIMaW7M_4E,10311
nemo_text_processing/text_normalization/ja/taggers/decimal.py,sha256=XWcYqSjrlrkICurNqBWm8-1FQWI9GD07PArZz5mUcqc,2401
nemo_text_processing/text_normalization/ja/taggers/fraction.py,sha256=txZGiU-0RBVKI_6Gr60cb7ylDmVxwfC2SpRR_HRdZuI,4748
nemo_text_processing/text_normalization/ja/taggers/ordinal.py,sha256=FwmwgRzN86NF2CkHmG5qqHOxLVE7B2iJee6w27Pb_2A,1567
nemo_text_processing/text_normalization/ja/taggers/punctuation.py,sha256=J9GiWC89PsOCg_PaJVPJBGM1N-LS0KfixyXJJkVjzx0,2971
nemo_text_processing/text_normalization/ja/taggers/time.py,sha256=Hxi_e3igeU8yHXEEYMkicI7CSP8iu84_WVESvnI9HiM,4359
nemo_text_processing/text_normalization/ja/taggers/tokenize_and_classify.py,sha256=d6WMgNMjy9VhR-15QhPxwZKFjJyPPclvxqxQ28-YDX8,4562
nemo_text_processing/text_normalization/ja/taggers/whitelist.py,sha256=MCnIDATNLPOhvEAbAdwq5DFbGQ9N4qUG4kycAV7G-WA,1657
nemo_text_processing/text_normalization/ja/taggers/word.py,sha256=GrRVlmfbUMVyYmJxmVseVZ_Yh0fnaVogsNqrozASLEs,1296
nemo_text_processing/text_normalization/ja/verbalizers/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo_text_processing/text_normalization/ja/verbalizers/cardinal.py,sha256=SviqlYUfnQlDY9wZBIE1ubs7voPZ_UlCMRRY4rInRE0,1801
nemo_text_processing/text_normalization/ja/verbalizers/date.py,sha256=mGH3EjwajD2WizS2XTCFCW_Uh0M11iQhPVVLnMV3uvM,2335
nemo_text_processing/text_normalization/ja/verbalizers/decimal.py,sha256=xAlXLFLItFmRs6Hq1F1qhBpCFc-WPc_6cprwWcQ1T98,2059
nemo_text_processing/text_normalization/ja/verbalizers/fraction.py,sha256=si1vEef17zHY8ejI6T0u7aNZPhANFjshsPAwgAqx0Hg,4904
nemo_text_processing/text_normalization/ja/verbalizers/ordinal.py,sha256=l7hcOmQcfzUwXrJ8_yy1VOyQMuq-PDj5dGXJiRCD8W8,1477
nemo_text_processing/text_normalization/ja/verbalizers/post_processing.py,sha256=7fWEoD2HRW1NZUUS3wj3a5BbAwrmaw9IfwHdnwwBTY0,3683
nemo_text_processing/text_normalization/ja/verbalizers/postprocessor.py,sha256=J1jejH_ORyIQyM3R5ODtYBevu4s6sK82CWZQd-U-wNU,3065
nemo_text_processing/text_normalization/ja/verbalizers/time.py,sha256=q0qIuFGIIcHmorIiNMysQgklYg6VhBY-XO89R_4CF7s,1957
nemo_text_processing/text_normalization/ja/verbalizers/verbalize.py,sha256=Y61dmnE3a-79qqE8INtGJs0h5RNUT-xGo-t4OK47hZI,2979
nemo_text_processing/text_normalization/ja/verbalizers/verbalize_final.py,sha256=Zg5RDY4wJQx2JOXwXFMFWjIEjDm_XAbG5TC00dQq1Uo,2262
nemo_text_processing/text_normalization/ja/verbalizers/whitelist.py,sha256=xkJUv6QgZDsj-Pv4MFOUjDXleDY8PzU7092GONr8o5Y,1454
nemo_text_processing/text_normalization/ja/verbalizers/word.py,sha256=_DukyTLcbM4QQurO9ytqaoDZ_HBY8UJDDQMTN64V1nE,1122
nemo_text_processing/text_normalization/ko/__init__.py,sha256=67eaZdTB7pJwGTbt2qlXKmhbnqzmolC8hJH86monf0Y,899
nemo_text_processing/text_normalization/ko/graph_utils.py,sha256=cF0rG8k6C0iavANT7mKPl9b7ZrAYZg-Le80cFojiK20,5471
nemo_text_processing/text_normalization/ko/utils.py,sha256=ni9mJz60ZQOmtky9HyQVfmPIm6iAOgbM35APF-KvtUQ,1645
nemo_text_processing/text_normalization/ko/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/whitelist.tsv,sha256=guxdKWdgunPk3aUAahVePRhIW9EGRcII-xyq12aP6B4,438
nemo_text_processing/text_normalization/ko/data/date/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/date/exceptions.tsv,sha256=2BWHaKSljldJZGhO-Y5PujPDr9vomhguHdsE-2Vjnzw,12
nemo_text_processing/text_normalization/ko/data/date/week.tsv,sha256=J9waYqoqE-qem9MtqtQkFq6wgDpjvcyIugd3IzNz2Bo,111
nemo_text_processing/text_normalization/ko/data/electronic/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/electronic/cc_cues.tsv,sha256=imFnaB3KBcbOg6TEWq_b5SK0478RXgQhKasQ1Fgw_u8,365
nemo_text_processing/text_normalization/ko/data/electronic/domain.tsv,sha256=X9OR2KGAjV6McnneVT9FzUGG-37Iu41SCfLhieGHY6w,542
nemo_text_processing/text_normalization/ko/data/electronic/extensions.tsv,sha256=6PPe1k1zmuNtjOTxegPhR2bc41h7AeEt7hlglwDZNco,125
nemo_text_processing/text_normalization/ko/data/electronic/symbol.tsv,sha256=YQsLZXXjMf_fVhkUQluM0ZK9qiDQ5nObGv7SrRGtEH4,126
nemo_text_processing/text_normalization/ko/data/measure/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/measure/unit.tsv,sha256=_SKP76-VkPhKm91ZCw7sucx5FiP6klP-PJaVSZeYMdA,216
nemo_text_processing/text_normalization/ko/data/money/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/money/currency_major.tsv,sha256=sC-uk9sJu3S-Jj7YpiV7z35W_E1QC9QopuYwc3H3dPA,355
nemo_text_processing/text_normalization/ko/data/number/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/number/counter_suffix.tsv,sha256=d8m_hz3O_bGTaD3jQ6ik9GdaLE1b87dai0xtr5xQcls,84
nemo_text_processing/text_normalization/ko/data/number/digit.tsv,sha256=D0MtCzhIugBUrMMENTMVnZ9MXq4BpV4nfyjchLiUMyk,53
nemo_text_processing/text_normalization/ko/data/number/native_ones.tsv,sha256=uQVg6ZmmUtmqleSofvfEDp-WZie87JpbudUMOeZXOXk,68
nemo_text_processing/text_normalization/ko/data/number/tens.tsv,sha256=YXKi5l7rGhpf-Ou3Whq162RcZGV17MTWqPE8XKA09_E,77
nemo_text_processing/text_normalization/ko/data/number/zero.tsv,sha256=DSjAvoiMqFHqUseRAcK_0M6Fl0yYPRuC1MzwL-1vP2w,5
nemo_text_processing/text_normalization/ko/data/ordinal/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/ordinal/digit.tsv,sha256=7WWxnsuKR1Bs5qd_BhygNsJvt_VthBLZMGtn1rdtcI4,62
nemo_text_processing/text_normalization/ko/data/ordinal/exceptions.tsv,sha256=1lnFNKc58BduIaFHUvjoDni43p5AceUWlafF5g3_jS4,52
nemo_text_processing/text_normalization/ko/data/ordinal/tens.tsv,sha256=L-NxJjynwlCj1NL6Me2yspp5k_AXXncMWfBwHNHsCjg,16
nemo_text_processing/text_normalization/ko/data/ordinal/tens_prefix.tsv,sha256=eXhiZM49BstMinHnbvPtdfs1FDv-vXfs2Y7luqYGMeM,23
nemo_text_processing/text_normalization/ko/data/time/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/data/time/division.tsv,sha256=SZvrPRzdLgbd2dyv9G-xo1duoHoWSfacWz6I3t0tbaU,42
nemo_text_processing/text_normalization/ko/data/time/hour.tsv,sha256=zMDER-9gr9VzDSlua1OK9KpgQKwr1hKmiC-A0sKBEe4,95
nemo_text_processing/text_normalization/ko/taggers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/taggers/cardinal.py,sha256=0j-scESIHbZaSuFeoPJRadd7yMbUAX7DAK_yggphvS8,15790
nemo_text_processing/text_normalization/ko/taggers/date.py,sha256=CnRJGm_xdfiQ4h9V4ezYzmKYaENgnqmu1ldbjHzrVwo,12540
nemo_text_processing/text_normalization/ko/taggers/decimal.py,sha256=rwcS5w7d5q91Msm9v6T8JD-HLMnw_0mf9UrCenxjYXo,3091
nemo_text_processing/text_normalization/ko/taggers/electronic.py,sha256=yZxIB5HdJ3sF2pzH71ZkN2au9UO0PkO9HwdpsXogtKs,7122
nemo_text_processing/text_normalization/ko/taggers/fraction.py,sha256=7QbGS7a501GP7ptdnJZSBZo2U0ntiNBborLb9RcHOqs,4702
nemo_text_processing/text_normalization/ko/taggers/measure.py,sha256=55OsAS9KTLXHoM26TLsC5Z_nOO3j9Sob-PbgGy--_mA,4266
nemo_text_processing/text_normalization/ko/taggers/money.py,sha256=GVL_Ktf2wFCPTpJvepmX1Uk7xzXWkh-9s_lB2uVvH00,4622
nemo_text_processing/text_normalization/ko/taggers/ordinal.py,sha256=6fGR192RG401Lych2E7-RgzX8Y502Nn7bd5XvVXezyE,3747
nemo_text_processing/text_normalization/ko/taggers/punctuation.py,sha256=Ke2LnWGyoluNcvO0g5ww4vTthpNVaETCL68ihUOPOq8,1425
nemo_text_processing/text_normalization/ko/taggers/telephone.py,sha256=fCZDhs0ZvJ6Q_XS7gqJb0MoTd5pTpWYpLeCf7iIysTw,3774
nemo_text_processing/text_normalization/ko/taggers/time.py,sha256=xTe_hPPJoMOsXpkmwnTusIKtYQ4F9hBZ5vcajrC6_tE,7620
nemo_text_processing/text_normalization/ko/taggers/tokenize_and_classify.py,sha256=52U7p3oA27b5hGmfIuI0JoTOhJuRq5Zu8GBW9Gxt_8o,5652
nemo_text_processing/text_normalization/ko/taggers/whitelist.py,sha256=6E3qG9q1YmpLNBPloymBVh12LJb35Rf24CI4TXE7W4o,1182
nemo_text_processing/text_normalization/ko/taggers/word.py,sha256=Wo_T8wEljKOQGqMWa19uuokPPuFTqeDijUyYHGlcNWw,1269
nemo_text_processing/text_normalization/ko/verbalizers/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo_text_processing/text_normalization/ko/verbalizers/cardinal.py,sha256=qf636oNcBpeIsKvEciqsb7qazSU526Nz6-kDYQw8HYI,2203
nemo_text_processing/text_normalization/ko/verbalizers/date.py,sha256=oY8zyJsVcFQBfqbLKEj5UHjbrUJC4MYWQhW4XZLEygM,2321
nemo_text_processing/text_normalization/ko/verbalizers/decimal.py,sha256=nzOuZKYqb_w5RdNpDd8k6NuSuDs61eyE1TspTAifdOw,1876
nemo_text_processing/text_normalization/ko/verbalizers/electronic.py,sha256=I1OLhHceMVXYANawU1LnKX8OGTCI0W9Ca4fUNhR1Ld0,4931
nemo_text_processing/text_normalization/ko/verbalizers/fraction.py,sha256=N067LJWE77_czFy-LarrejobLcM-3uCNEZr5dczuAPo,7079
nemo_text_processing/text_normalization/ko/verbalizers/measure.py,sha256=71F56eNLeXcKkOTfbUpArL7NQyAKZYVgyu_i3MMf8Y8,3220
nemo_text_processing/text_normalization/ko/verbalizers/money.py,sha256=E_v0Exz2XQfa9DRU4Wltlj_aglb0Y5fNHeCPq6l6WUY,3845
nemo_text_processing/text_normalization/ko/verbalizers/ordinal.py,sha256=5hZpwrvWxMET3IvUimDNygeh7V4NaC88s9D7sXZRkCQ,1434
nemo_text_processing/text_normalization/ko/verbalizers/telephone.py,sha256=5fnQtiHfoUT9kKxI1YwRxNi9c5UIko8IllVsHiFhNEo,3046
nemo_text_processing/text_normalization/ko/verbalizers/time.py,sha256=cwmwx63pglxta2X5Q2MBHhsLIZjPk2PDNUaiUwwZf5E,2461
nemo_text_processing/text_normalization/ko/verbalizers/verbalize.py,sha256=WMcWvuVso1Vi1EdpaNcgRKWJw0z9GGCsgr05Ojci9yQ,3426
nemo_text_processing/text_normalization/ko/verbalizers/verbalize_final.py,sha256=shWZ2580PTo7poC3RYeEOx_W0Iw2oXAKmiwxPvFrP0A,2857
nemo_text_processing/text_normalization/ko/verbalizers/whitelist.py,sha256=FT64IlBWyW9FPW4-rgZFsK2DprIZkXII-95YIkzFWbc,1372
nemo_text_processing/text_normalization/ko/verbalizers/word.py,sha256=hYzfHtkmtOvz33Tf3d8HHpvp9pDeW3t3ptbKo7P92hA,1122
nemo_text_processing/text_normalization/pt/__init__.py,sha256=Cau3mhHKMDM1cl4G8EXa13WCGT3fJdaDVitbr8etuPM,616
nemo_text_processing/text_normalization/pt/graph_utils.py,sha256=5fOqSvZWqsmU6uqBtCc2xALsUZylCKZ2UrjHIQXT4P4,6707
nemo_text_processing/text_normalization/pt/utils.py,sha256=95oqJFTG7rB_CLm6MlxpFTvSRmIlfyVWITv2cNYuvsE,1500
nemo_text_processing/text_normalization/pt/data/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/date/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/date/months.tsv,sha256=zHa5_cawMV1z2YmBQ6hF2AHi20qoaFJlFgoMALLZlNk,208
nemo_text_processing/text_normalization/pt/data/date/numeric_separators.tsv,sha256=ABHLnC9R253bbk2P4KK2zveN_4j0NjDdkmOL8Od6ahk,6
nemo_text_processing/text_normalization/pt/data/date/verbal_phrases.tsv,sha256=s0dSKA6-5oTMwLObNcGfyY9E48XMTGGhzATkRKLzk1E,15
nemo_text_processing/text_normalization/pt/data/electronic/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/electronic/domain.tsv,sha256=c1ocR1dfyDzHlXwpo7pkE36s5HQ-4l4HzgPXzaqycuM,127
nemo_text_processing/text_normalization/pt/data/electronic/electronic_spoken_unit.tsv,sha256=KKndfBfrSPcIaEhQxlxPW7FhhpakhnBQKGijpIx-DzE,248
nemo_text_processing/text_normalization/pt/data/electronic/server_name.tsv,sha256=W_jHWbxTSdmc06zDyHsH_ik5upCnlGD3UfrjO-S4VHo,40
nemo_text_processing/text_normalization/pt/data/electronic/symbols.tsv,sha256=Pyos-zZ998Uc62LU4zhGvGHzUxZHu3c8X_rXbxxNXSE,267
nemo_text_processing/text_normalization/pt/data/fractions/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/fractions/ordinal_exceptions.tsv,sha256=oS3LcncM4DS7k6OGr_WwAPr-_fZgYWjYpldQdXnlJec,29
nemo_text_processing/text_normalization/pt/data/fractions/powers_of_ten.tsv,sha256=dKlQ8DuUluHAXgv5yX1F5kdeoZAqbhrBf6bY8-fspPs,14
nemo_text_processing/text_normalization/pt/data/fractions/specials.tsv,sha256=mECdSt1oIK5qunL4-T9ANjXfDJ5idIw40X65bzOcNlY,75
nemo_text_processing/text_normalization/pt/data/measure/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/measure/measurements_plural.tsv,sha256=Luc8u5_g6QyEh5JIlliy9NMgWp_oky4bp_JbvPEve-8,994
nemo_text_processing/text_normalization/pt/data/measure/measurements_singular.tsv,sha256=uY6IRbMLq16Zs0s6X1W5WiwwXGDt-D0bPJH-T_jVWRc,935
nemo_text_processing/text_normalization/pt/data/money/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/money/currency_major.tsv,sha256=c5qntCEXoqfvpqk3dIQjeWBH50rRciqAmm8udThm3q8,66
nemo_text_processing/text_normalization/pt/data/money/currency_major_plural.tsv,sha256=LXEC2vm77Pw3MDcWDCFn5CzJq4dOYj0mpwJxwrGJ9Wg,109
nemo_text_processing/text_normalization/pt/data/money/currency_minor.tsv,sha256=McH6qfT444ec2MWVNF5q3YuaZ5KT18-gWl_WNfNwMss,56
nemo_text_processing/text_normalization/pt/data/money/currency_minor_plural.tsv,sha256=wvNZ3u758cIe5gCVYNn2Mb8OdBNFIh63lakw1PlawfY,17
nemo_text_processing/text_normalization/pt/data/numbers/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/numbers/cardinal_specials.tsv,sha256=9bYo_p0-irbW_pH2Vp5QYBbRs0WZYjWK8zn7gcMYl5Q,57
nemo_text_processing/text_normalization/pt/data/numbers/decimal_fractional_specials.tsv,sha256=T2zrc8EmqH6Di5lqufuBWDzNF16S5auONmOm3P_5dEc,41
nemo_text_processing/text_normalization/pt/data/numbers/decimal_specials.tsv,sha256=1FXusG9mCCoGktlHcYWkJhGWXPm0khmJD4HN9oFeJnk,31
nemo_text_processing/text_normalization/pt/data/numbers/digit.tsv,sha256=n7nUy8C3-lXePMrExsr3uzCWdr-Epymy9EHv2pjk1WA,65
nemo_text_processing/text_normalization/pt/data/numbers/hundreds.tsv,sha256=DArs1jJgEumx0-tfZ8wf7wbFk_T1JUwGfQjIfsccLIQ,103
nemo_text_processing/text_normalization/pt/data/numbers/quantity_words.tsv,sha256=L8hDfFYFeDgyr-Lz0mfivcY9EDcBfiCDgxWMO_ejsuQ,82
nemo_text_processing/text_normalization/pt/data/numbers/scales.tsv,sha256=c0W7Oomvm_vOGMWwtINsPH5raPB4Zqvgdj7b5WkP44g,112
nemo_text_processing/text_normalization/pt/data/numbers/teens.tsv,sha256=bzWYqa62OmREUF1DVJ2yUJbcZSP287mUuxmleDeyB20,102
nemo_text_processing/text_normalization/pt/data/numbers/tens.tsv,sha256=UsHYVfX-Wi-BMXBJKLi1zL4AueXu48g66eNC3ZxDBU4,81
nemo_text_processing/text_normalization/pt/data/numbers/zero.tsv,sha256=PfZMD6-BztRSo4JXIa64zn0Zqf-VQ4E5IWIVmmkzkv8,7
nemo_text_processing/text_normalization/pt/data/ordinals/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/ordinals/digit.tsv,sha256=67pzICkrCbZBlhRjWFAXK3Q3oYBW9ebHiTkx3TMZjGE,125
nemo_text_processing/text_normalization/pt/data/ordinals/feminine.tsv,sha256=v2Sp5d7u2GsUJTrbM9THWPcgAbRkzenUO2nfBsr_t28,162
nemo_text_processing/text_normalization/pt/data/ordinals/hundreds.tsv,sha256=HOKRi-h_CFhxmCYyhPUAaAbKixs9hD2rzDmFFxfcNgg,242
nemo_text_processing/text_normalization/pt/data/ordinals/specials.tsv,sha256=TXGKMcQ3BCcTnn5tjDTeW4YbC9FvkSL0Y9zAe2B8s7A,33
nemo_text_processing/text_normalization/pt/data/ordinals/teen.tsv,sha256=lADh_FllcS7Gn0XtFYry_poFrD21_Thl1QZ_ehymF_I,206
nemo_text_processing/text_normalization/pt/data/ordinals/ties.tsv,sha256=cQ0mKVEJs40Q7YANNu8o7Fxdnb8xqbyvlzFs3GtVCrQ,165
nemo_text_processing/text_normalization/pt/data/telephone/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/telephone/ip_prompt.tsv,sha256=e8OM8AP5WDp0YEYgouMZURDWaVrp3FCCPe0w1H9IcNI,39
nemo_text_processing/text_normalization/pt/data/telephone/telephone_prompt.tsv,sha256=0mBCulI14G_doV-GAabyhAVX-DYrn7KYwMcvhVY4W8k,43
nemo_text_processing/text_normalization/pt/data/time/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/time/day_period_suffix.tsv,sha256=3z_jIQv88Lnocn4Om6aqjbQ8WTDc9ZqBFZGzTHYFM8M,91
nemo_text_processing/text_normalization/pt/data/whitelist/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/data/whitelist/ipa_symbols.tsv,sha256=ChsK_JiztbsqNnFYNQ0xZ9QCFUxeTqRzm8vCkydQvl8,2532
nemo_text_processing/text_normalization/pt/data/whitelist/symbol.tsv,sha256=MrHnKv9oG78OlpNfXOzQPgoP-eFopXW2pQYdtBr44IU,297
nemo_text_processing/text_normalization/pt/data/whitelist/tts.tsv,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo_text_processing/text_normalization/pt/taggers/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/taggers/cardinal.py,sha256=gGs_O6UmIKaWmdVUBHFDPDHhJW0grrVDKITRs7iH_Uk,13256
nemo_text_processing/text_normalization/pt/taggers/date.py,sha256=3Paj9pWWKidi1_O-1HsHSWbsVuugbMnguku3WWbgOTk,7024
nemo_text_processing/text_normalization/pt/taggers/decimal.py,sha256=E3i7uUjYSIyEG5KPqjJwpwV32TyL_wqM4JCou9liOXU,4105
nemo_text_processing/text_normalization/pt/taggers/electronic.py,sha256=2PYTeYulsTzDu89WrmAsl3DK0sXs9mcq89KZBL5Hbhc,3413
nemo_text_processing/text_normalization/pt/taggers/fraction.py,sha256=3zisoIu-c5A0qDRTG9kT461kCxNyk9BUlegj_h0xKRI,5244
nemo_text_processing/text_normalization/pt/taggers/measure.py,sha256=hCubwL0nENCFL38_0if77Z0WteqfwMHg0N-bYf339uQ,3137
nemo_text_processing/text_normalization/pt/taggers/money.py,sha256=Rg3Mx66_5j2XfENnpLhCULLDxvB_5FlShtOYdayaVWk,7938
nemo_text_processing/text_normalization/pt/taggers/ordinal.py,sha256=Y3RQHDBXeauacz_C2I4z9U5W-tG6Qt36tLpGhzykrlY,3967
nemo_text_processing/text_normalization/pt/taggers/punctuation.py,sha256=PZE6tYMGDjVL9fSUCK1VhcO8nRyAncKWtuFOp-wvARM,2560
nemo_text_processing/text_normalization/pt/taggers/telephone.py,sha256=UM50Lf0BkZbXlavMutocJWUT33ijX5QeAANpH61bj5Y,5487
nemo_text_processing/text_normalization/pt/taggers/time.py,sha256=QUczZFFCPUg7gTHU_JtQItGuDmA_txO_fvh7D2GaI7Q,8185
nemo_text_processing/text_normalization/pt/taggers/tokenize_and_classify.py,sha256=IVMXVomws1_jBb93vpR5bH5e0WESQW-DuXpUgxhvrJU,6436
nemo_text_processing/text_normalization/pt/taggers/whitelist.py,sha256=ACaBVH9o9m0bq2voJerm1Mf6UhoVPifnzh0TyMADXOk,4471
nemo_text_processing/text_normalization/pt/taggers/word.py,sha256=ZvTfxvPocvUr0ope7om1E0GtFV8Hyy04X3qUr2awYQQ,3499
nemo_text_processing/text_normalization/pt/verbalizers/__init__.py,sha256=1A7wJ2Euprz80FbfBA1U_fToKUmx1T8EvIswli34API,623
nemo_text_processing/text_normalization/pt/verbalizers/cardinal.py,sha256=FOLfLz4mNFbJfICwpkOr46JvHgiHZeXrRG_Xz0AJdHA,2575
nemo_text_processing/text_normalization/pt/verbalizers/date.py,sha256=oC0lHZhDWtbh1x-KvZ4YmjB2E7BcbZPaPKTv_Eak-SU,2101
nemo_text_processing/text_normalization/pt/verbalizers/decimal.py,sha256=UAhOats7rjqpiRxdmDCHJ-hW7SpE0prlFq1YCnZNUdo,2783
nemo_text_processing/text_normalization/pt/verbalizers/electronic.py,sha256=XDjMHhMkE9MaFUO_T0BJTuP9jjLKh59LelMrbnrPfQ4,3321
nemo_text_processing/text_normalization/pt/verbalizers/fraction.py,sha256=jAsEo110rJZU2XmsPnxZHsw-JGfk_l4-nbzkb-gEhUg,5238
nemo_text_processing/text_normalization/pt/verbalizers/measure.py,sha256=8HMfzjOsaljpt9oZxlfKQRGV3th3vixi2LPU2X3ViEI,3266
nemo_text_processing/text_normalization/pt/verbalizers/money.py,sha256=4Htlil8YVYWkquyf5bR-x6eVLjJFrBvzE7uJxhf0fmc,3820
nemo_text_processing/text_normalization/pt/verbalizers/ordinal.py,sha256=H3wYc6cIZQLtWZKLah7L7IWmGIlD1Svxiu6deU5OhoM,2139
nemo_text_processing/text_normalization/pt/verbalizers/telephone.py,sha256=3jiUmf1O1YpbNJcVPk44Ohxda5MdfPVntyjkt7jc6cs,1951
nemo_text_processing/text_normalization/pt/verbalizers/time.py,sha256=dt9ep1zJc9ISoWxjwD2Et0Yi-a_JfYboYAgWt8Udc0c,4683
nemo_text_processing/text_normalization/pt/verbalizers/verbalize.py,sha256=0v2toirYZJBIqOfj1dthFqQad3WGyHI4HAxg_iF4YCg,3130
nemo_text_processing/text_normalization/pt/verbalizers/verbalize_final.py,sha256=r-9YS67iQy6SvBIhtpWNm3wz6-4sH528oXIMdfguV5M,2963
nemo_text_processing/text_normalization/pt/verbalizers/word.py,sha256=xPFYyqMbj23oobezdoogfFUepbx5xpn17fCdqZ1dPms,1311
nemo_text_processing/text_normalization/ru/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/alphabet.py,sha256=IkBVdHQCEyWdNeKRMEDnz8LCn-DH8wnDSruNXIRVj14,2078
nemo_text_processing/text_normalization/ru/utils.py,sha256=0PhhwS8lqtbpEy9hRvkXCp2L7Fufve88elMLjnXVBMQ,1329
nemo_text_processing/text_normalization/ru/data/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/latin_to_cyrillic.tsv,sha256=Mm-hlnAllzbDNlNig3Y1vexphypLeEpCHp4I2Lo6rE8,275
nemo_text_processing/text_normalization/ru/data/measurements.tsv,sha256=basSQQgS1v5c5iXxpHqMTLZuI7-kt8QLZq88y8S60bs,9277
nemo_text_processing/text_normalization/ru/data/whitelist.tsv,sha256=muF7dbkbdgxGNl_Kakm0gdVCV-vcxSDlVdBJRLMNWc4,1005
nemo_text_processing/text_normalization/ru/data/currency/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/currency/currency_plural.tsv,sha256=5Obsh17UFQeiOgfTWehegVMNOrx1147p8iXtYAK80Z4,1420
nemo_text_processing/text_normalization/ru/data/currency/currency_singular.tsv,sha256=AAX_T320RHhUeS2YTDlwy9vcUxWgkFsMNy9JbFqOJmQ,1085
nemo_text_processing/text_normalization/ru/data/electronic/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/electronic/domain.tsv,sha256=9L15g7KmgX-nb7LWOFXe5S5GvQ52xUgp0eaPx65X9_o,47
nemo_text_processing/text_normalization/ru/data/electronic/server_name.tsv,sha256=r1yLaCqBND6sybTvmTJWwANaLU2QtD_OnEO7HQgWeGY,290
nemo_text_processing/text_normalization/ru/data/electronic/symbols.tsv,sha256=JxYA3kdvKDz6Xc8sEps98n3R6xLkUOLN57mr7oNEmF4,668
nemo_text_processing/text_normalization/ru/data/months/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/months/abbr.tsv,sha256=4grbQ7zWNJabN1b3lcAPN0eFBjESNZYoxUKXHermgpU,239
nemo_text_processing/text_normalization/ru/data/months/abbr_to_name.tsv,sha256=8lMIPMq35xRBi_C01cpbd6DMlHeavZ37aocGsHzg-lM,1541
nemo_text_processing/text_normalization/ru/data/months/numbers.tsv,sha256=E2s5oJ0kI62eafxRe35yelJOAm4zfDrSJd6lw-5MNnQ,214
nemo_text_processing/text_normalization/ru/data/numbers/1_cardinals_nominative.tsv,sha256=9BBFCa1hCtALnO_p-abD3_BBQB--5Zb3uk39G5R8Z_o,969
nemo_text_processing/text_normalization/ru/data/numbers/2_cardinals_genitive.tsv,sha256=jPIVNJD-Nel1qd1KlzbBtJVHpkdyJAif3-F2FACP1ik,911
nemo_text_processing/text_normalization/ru/data/numbers/3_cardinals_dative.tsv,sha256=cEzrMHT3DavlyojgdZeT9kamH8ENV9TJ7m-yaQa7coI,933
nemo_text_processing/text_normalization/ru/data/numbers/4_cardinals_accusative.tsv,sha256=pH_dh0H3Aj11gNIP_bXOVzB-J3N4EGGyGHRkFVHtdjk,913
nemo_text_processing/text_normalization/ru/data/numbers/5_cardinals_instrumental.tsv,sha256=HYqeV_WuSySbktLH1alg-EDuWpWGSL8PCF6QryCGlSw,1048
nemo_text_processing/text_normalization/ru/data/numbers/6_cardinals_prepositional.tsv,sha256=ww3OMzU3ebHp_hf5MN4wC5s8DHGCr2xhQDET6xjFSuE,951
nemo_text_processing/text_normalization/ru/data/numbers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/numbers/cardinals_alternatives.tsv,sha256=HKtulDNU8ina-AemnKFDo9HGgm74RleKQg7qPz2TTN0,549
nemo_text_processing/text_normalization/ru/data/numbers/cardinals_nominative_case.tsv,sha256=3PcKOUrJNkFyDgC2a9j-U_DFG4ogN1JWkvMFRnG2dl8,710
nemo_text_processing/text_normalization/ru/data/numbers/decimal_delimiter.tsv,sha256=eMppT7zFRD73stgJ5Dx9vPctWzftSW_XN6TpUVeK4t4,565
nemo_text_processing/text_normalization/ru/data/numbers/decimal_endings.tsv,sha256=-IR-02UPzcMD0OYYu5R55htopwyv8zJ9eok8SOVGxjo,1026
nemo_text_processing/text_normalization/ru/data/numbers/digits_nominative_case.tsv,sha256=4ouq4Ta_bCwri4IJaGiscjlpWNJiaLanOdrWHzAwnHg,119
nemo_text_processing/text_normalization/ru/data/numbers/ordinal_endings.tsv,sha256=IlUAZmbDyKQE0LyjVuTX13Jrd619ZZoaPguXxfFxA1M,430
nemo_text_processing/text_normalization/ru/data/numbers/ordinals.tsv,sha256=KON36OWVonqDJ4EUX4r9Ut9uK5qlc3vagB0nC59L_mQ,21537
nemo_text_processing/text_normalization/ru/data/numbers/quantity.tsv,sha256=VapSjSfB6o-TfqpUU7M6a2gMRlX07Wcauk8PJLhhdo8,537
nemo_text_processing/text_normalization/ru/data/time/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/time/increment_hour_cardinal.tsv,sha256=zD_m9r00aXWMV9K95SzbvaH4hAm8BxHvGyMtURduP8I,469
nemo_text_processing/text_normalization/ru/data/time/increment_hour_ordinal.tsv,sha256=hmuDb6pUElOwnHh8xslDOsSoQVwg9BZQD_TTvbWBVZI,611
nemo_text_processing/text_normalization/ru/data/time/minutes_to_hour.tsv,sha256=JoQfwxPkMgMCzBGlqcUv6tvwi4uJZq-F6Rq30qWdats,828
nemo_text_processing/text_normalization/ru/data/time/time_convert.tsv,sha256=W2HQeNZHzDH_EIiO6dq8w5rdfzBvOZ0JZGQR9TNzzJ4,62
nemo_text_processing/text_normalization/ru/data/utils/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/data/utils/g.fst,sha256=kNuLe-f3t1v1coDbZ1Pzuns35GGZ-49tRqjOsMIS_xg,3206
nemo_text_processing/text_normalization/ru/data/utils/universal_thousands_punct.far,sha256=zWlHLQbkc8qwMCx3svcp-Sif6_j_isYb9iClZuUkirU,69495
nemo_text_processing/text_normalization/ru/data/utils/util_arithmetic.far,sha256=33x6obTOXEmmfEnnu7H01SeafNY66DyFCC0Obx45-58,7085564
nemo_text_processing/text_normalization/ru/data/utils/util_byte.far,sha256=XgYTUfZ-Y_RPhgJFHoa1kSVXKXcbU9taaJdWzSOPdkI,14099
nemo_text_processing/text_normalization/ru/taggers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/taggers/cardinal.py,sha256=i9VY7RUaqZVl85MG-j7Wow5JocTi9xInHuhatPwdzYM,6818
nemo_text_processing/text_normalization/ru/taggers/date.py,sha256=iXVdCmGDg4lJ8WPXhZIQXInCK9cpJBfdtqXSIFlbq7I,6010
nemo_text_processing/text_normalization/ru/taggers/decimals.py,sha256=g9zyGtcULj4XzFnAlBtkRr09VEhMa625nOPHbxUmxSg,4465
nemo_text_processing/text_normalization/ru/taggers/electronic.py,sha256=wGDLAxdnd15j30r8f1gHKMiDBXaS3Sc0oJR-54wdQQw,4797
nemo_text_processing/text_normalization/ru/taggers/measure.py,sha256=oBKcCQmjW-J4v67w9xXPy4b_Zoqn12oRc70iMO44yAc,6943
nemo_text_processing/text_normalization/ru/taggers/money.py,sha256=Ns_XVDLeLquO9Y7RDsRt6QBwwarqVhQ6QbZwfIPE8X0,3998
nemo_text_processing/text_normalization/ru/taggers/number_names.py,sha256=icVWklrfTNa9lC0ljBopxe9PIMojmNIceo4vO9_yCDc,6606
nemo_text_processing/text_normalization/ru/taggers/ordinal.py,sha256=aBgwvodMdQ55U8ZHbomNh0Pa9XRlebnY4H3F-MUqaCI,2950
nemo_text_processing/text_normalization/ru/taggers/telephone.py,sha256=sJd3-2DV2xb2eJKvegsHa30vzueKGDeooJJ3ObkheXQ,3256
nemo_text_processing/text_normalization/ru/taggers/time.py,sha256=mvE-qEmIlNae1WxAJVsYcCqctmlypn751HbyShigazE,5250
nemo_text_processing/text_normalization/ru/taggers/tokenize_and_classify.py,sha256=GHyfjUP-foq6lez2bwi2t6d6jbmgf07XbslB236PMGg,7098
nemo_text_processing/text_normalization/ru/taggers/whitelist.py,sha256=WmuGqh5czq0s24lfUS7Dxj6_VH3TDlh2dXemdDRXsiw,3045
nemo_text_processing/text_normalization/ru/taggers/word.py,sha256=UILsQ8hZiLgJsOp97VErDMxIPw3ARE9HQMv2xOR0zXE,1313
nemo_text_processing/text_normalization/ru/verbalizers/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo_text_processing/text_normalization/ru/verbalizers/cardinal.py,sha256=-M9DwqIUysNS1wpDdWbMVbsBIbg-XullAtrrX_TeS8k,1892
nemo_text_processing/text_normalization/ru/verbalizers/date.py,sha256=Wg5lG34CmrIf6JDagdOJYxl-O00DHlj7QUOfwMxoxtc,1498
nemo_text_processing/text_normalization/ru/verbalizers/decimal.py,sha256=KT4R9RcqvPgB5KwYkN24QVStoMiQwF1EggZbMgHyU2U,2190
nemo_text_processing/text_normalization/ru/verbalizers/electronic.py,sha256=nRuniMCTn-K3ZBSj96zaCuQ8oVlKdH1e4SWVv_7wCsg,1571
nemo_text_processing/text_normalization/ru/verbalizers/measure.py,sha256=9e15ohdowQ4V9hCXx9V8NXo4Ls_RTbu_m-Fw_r4XYvA,1756
nemo_text_processing/text_normalization/ru/verbalizers/money.py,sha256=DG0K-mMJn0UHLDCkLzWKeIbP4xm1TVoPvtVsdc1_cH4,1495
nemo_text_processing/text_normalization/ru/verbalizers/ordinal.py,sha256=8QWjyckYO4FzvfC1P1amlYt7jw3dI3510eHTxca2PL0,1463
nemo_text_processing/text_normalization/ru/verbalizers/telephone.py,sha256=1OZYXeonAhHmxULSDwOZOQOqKSsjb08yeDBKXJ8n8Hs,1783
nemo_text_processing/text_normalization/ru/verbalizers/time.py,sha256=NsyPoW4lGJZEaAB1oNJVTRqkeDtZVDp1QoKO3vmEIv4,2116
nemo_text_processing/text_normalization/ru/verbalizers/verbalize.py,sha256=dlq3OLyOWVmoGDRBPkW5c-XrwQNesOMouUSE911GCD4,2993
nemo_text_processing/text_normalization/ru/verbalizers/verbalize_final.py,sha256=KoIbMqffCixUCXKiqdBbwhqe-4XWz4HrfHm2p7JF2bs,2878
nemo_text_processing/text_normalization/rw/__init__.py,sha256=df3r3Tmtu18LzCnZMgJ9OuvsbXkaFnmUqA78MYPyXW0,992
nemo_text_processing/text_normalization/rw/graph_utils.py,sha256=cUlXXs7ct2WcUQsXWrK5-lIIUyhzdInie8NDQVSE_rQ,8195
nemo_text_processing/text_normalization/rw/utils.py,sha256=r_1zmrPKm-d9l7SuKoaYYoHSfr6A2Ua-fliFWZhyiiY,856
nemo_text_processing/text_normalization/rw/data/__init__.py,sha256=jjCub4FEy985gpP3JF1SQmHuStmUau4MbN4_A7y9HOk,704
nemo_text_processing/text_normalization/rw/data/cardinal/__init__.py,sha256=jjCub4FEy985gpP3JF1SQmHuStmUau4MbN4_A7y9HOk,704
nemo_text_processing/text_normalization/rw/data/cardinal/digits.tsv,sha256=1-KrSntYKXky1RCd5Sv_U52afRXLRehy4IUb1esXA_Q,85
nemo_text_processing/text_normalization/rw/data/cardinal/digits_for_thousands.tsv,sha256=KSQ815P-jKhguyDLRIL_22QjoDDtsSeGghg6ZuyHZqY,89
nemo_text_processing/text_normalization/rw/data/cardinal/digits_millions_trillions.tsv,sha256=JOZUAUDFzub2tXo8wLi9OZahJFlWeQ5dQr0LLRuYJ-8,86
nemo_text_processing/text_normalization/rw/data/cardinal/hundreds.tsv,sha256=UCMakuwTIoN7sDDYljQDmVe6-4gfe9xwXJOCoVSNzuA,132
nemo_text_processing/text_normalization/rw/data/cardinal/hundreds_of_millions.tsv,sha256=ubmC01e4FmlvhbNPcCWnddK77xV-4Tbd3g0tT2py4wY,213
nemo_text_processing/text_normalization/rw/data/cardinal/hundreds_of_thousands.tsv,sha256=yvvm7Jlz-clU5Wqnd9wYbNEUbPpeI6wAl5meD64DZ8Y,213
nemo_text_processing/text_normalization/rw/data/cardinal/hundreds_of_trillions.tsv,sha256=D8XfVNJM-8cyetD9QM3vx2p5lU25LfPKuDL-mHC0ggU,213
nemo_text_processing/text_normalization/rw/data/cardinal/millions.tsv,sha256=lwOgl6UT-6U0Cl3uvU9hK7G9DyBhiR0EMyW4YDIL1HE,160
nemo_text_processing/text_normalization/rw/data/cardinal/tens.tsv,sha256=TFgm26UUjbwlUJag2RWAvSX7o9SKyTY5h5IaG_qam64,135
nemo_text_processing/text_normalization/rw/data/cardinal/tens_of_millions.tsv,sha256=_l-ZpSfHJkxpQ1Td-zhbm9I9_FiCbJ2vTCOG17GtBVA,221
nemo_text_processing/text_normalization/rw/data/cardinal/tens_of_thousands.tsv,sha256=10hRe1uACHLMsE5vJKZns7wfiiKxbgXObsPJV4yqJx4,221
nemo_text_processing/text_normalization/rw/data/cardinal/tens_of_trillions.tsv,sha256=itUd-UQe8zG_3IJelAMmF_MvoJEBRcXeA4Au0SjG2cA,222
nemo_text_processing/text_normalization/rw/data/cardinal/thousands.tsv,sha256=Tm_PsBBNYRA054nvrDvGKBiwWJuxrxIobHGL41k_raw,161
nemo_text_processing/text_normalization/rw/data/cardinal/trillions.tsv,sha256=n0HxSOxi__dGT4d1AAAepakno5m9FkHAJoohokQvivE,160
nemo_text_processing/text_normalization/rw/data/time/__init__.py,sha256=jjCub4FEy985gpP3JF1SQmHuStmUau4MbN4_A7y9HOk,704
nemo_text_processing/text_normalization/rw/data/time/hours.tsv,sha256=V-SRHNO3b6nzUzO86brNQbxOGsus4m1ZUholGTNzcX4,154
nemo_text_processing/text_normalization/rw/data/time/minutes.tsv,sha256=6lUVbgjtcOpE5V2PDtNOlT9-ZfY3Whi134O3Seb_ksw,1853
nemo_text_processing/text_normalization/rw/data/whitelist/__init__.py,sha256=jjCub4FEy985gpP3JF1SQmHuStmUau4MbN4_A7y9HOk,704
nemo_text_processing/text_normalization/rw/data/whitelist/kinya_transliterations.tsv,sha256=3agS8c_ytBwGz5QC3_GdG4vXpJ8K1zj7Klh8z4BfROA,3156
nemo_text_processing/text_normalization/rw/taggers/__init__.py,sha256=jjCub4FEy985gpP3JF1SQmHuStmUau4MbN4_A7y9HOk,704
nemo_text_processing/text_normalization/rw/taggers/cardinal.py,sha256=GJpl9auqQFWdC5iEXWepnGzLPN-a6saOwk3LIiyHxh0,13809
nemo_text_processing/text_normalization/rw/taggers/time.py,sha256=4Ie14tsE-yE1JP2HJEa4deDeD65gilAcT5Ld48HyaBg,1515
nemo_text_processing/text_normalization/rw/taggers/tokenize_and_classify.py,sha256=BzTDMbpr_FB5A4N4klB_teXxkbcXbbgkcg1NmG3oan4,3311
nemo_text_processing/text_normalization/rw/taggers/whitelist.py,sha256=jA9Ffj8x2dAtvt1JZqLRqOAqUjfMS1YEL0_Aws6d6h8,1267
nemo_text_processing/text_normalization/rw/verbalizers/__init__.py,sha256=jjCub4FEy985gpP3JF1SQmHuStmUau4MbN4_A7y9HOk,704
nemo_text_processing/text_normalization/rw/verbalizers/time.py,sha256=76TBUKhdUGnt287FBnGfRKcUhlpC5o28PXeiXgmh9RU,1490
nemo_text_processing/text_normalization/rw/verbalizers/verbalize.py,sha256=x1U_fdExb285x3Y4d2XPQT4-4K1rPB9E_3BUCaed6nw,1304
nemo_text_processing/text_normalization/rw/verbalizers/verbalize_final.py,sha256=kSPYVHZwCQ3lg_Qgc5YEpWcMg0lxxEM-a5RCVvaR2s4,2315
nemo_text_processing/text_normalization/sv/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/graph_utils.py,sha256=wNBdk8p120oauOsuPqLg8tgkuSEzqbKMxh8cuT85fSI,2521
nemo_text_processing/text_normalization/sv/utils.py,sha256=ZvhYoLOsZuGW25mhLq-oBJhHWP5Vg1uA77yf9NX4A3k,1173
nemo_text_processing/text_normalization/sv/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/abbreviations_nondet.tsv,sha256=ShAVKh0JXkCx3t2MjgayAYlhMt4xq37BAOmmb5PyhjQ,334
nemo_text_processing/text_normalization/sv/data/fillers.tsv,sha256=QaEM3FhWLPR49ouPncOdua_lr-SLxSP7jZYZHHXavPA,162
nemo_text_processing/text_normalization/sv/data/math_operations.tsv,sha256=hTFa0wiRhRfyWMf-V97igHlabWV9uv7fmntgCOJ51gQ,71
nemo_text_processing/text_normalization/sv/data/whitelist.tsv,sha256=9p2Sx00HjWXh7xsdjNrIutUhQtvrEEfxOvQThbBAT_o,1046
nemo_text_processing/text_normalization/sv/data/dates/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/dates/era_suffix.tsv,sha256=UrUmoNEUww_Jko-3YW0xCUwVZ-KaaZSu-n8b_4-ytzA,208
nemo_text_processing/text_normalization/sv/data/dates/era_words.tsv,sha256=rS2wKiRBKr468xoWFCBCxO9B2P4NPSpS0L2mBKM_RKE,94
nemo_text_processing/text_normalization/sv/data/dates/month_abbr.tsv,sha256=cO_Kg5iwcngsYsyPe5BoJOyjtayFsRhGNd7J7TZJw78,176
nemo_text_processing/text_normalization/sv/data/dates/months.tsv,sha256=CR2N4Tk2f_DiKFLZLJHhqptgHCSNW5UIxScCigRlaYY,112
nemo_text_processing/text_normalization/sv/data/electronic/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/electronic/domain.tsv,sha256=Kh_god79sbho2Nw5m5G-Mc0QfTYPQ0NI-bD4ZXzoLYI,142
nemo_text_processing/text_normalization/sv/data/electronic/server_name.tsv,sha256=aVKzi4nMA8LtNIuhjnRwjtLLqdFJtWHe-tPmlkBMRxM,289
nemo_text_processing/text_normalization/sv/data/electronic/symbols.tsv,sha256=Y0SjsjTSHlugMVREkkW7smMHYZRBrXakE_VNasjBa2A,263
nemo_text_processing/text_normalization/sv/data/measure/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/measure/greek_lower.tsv,sha256=eKs6fnPHGY_RaK3Xbg9Xx0sPwZDCVGYr31bOIpBmRMA,196
nemo_text_processing/text_normalization/sv/data/measure/greek_upper.tsv,sha256=4z4JYDM6NfH_B4FmFHkYtHIz2k4LhxpKYKJs9-eejYs,196
nemo_text_processing/text_normalization/sv/data/measure/unit.tsv,sha256=1uuajNLyXMZYmiOpIaBikGAuSf0jHQYUUUx1mymYqUI,2121
nemo_text_processing/text_normalization/sv/data/measure/unit_neuter.tsv,sha256=JHV9eMvb0tIhJ10AT-_vHrhKvp7x5A2-1EHU9UVVWC8,157
nemo_text_processing/text_normalization/sv/data/measure/unit_plural.tsv,sha256=YSX9IztyaGw2gN-BRlRwPvgv6upmxYXCag4lIqmLD1k,1461
nemo_text_processing/text_normalization/sv/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/money/currency_major.tsv,sha256=9vUzVEkuLXQwWa2WIbGXiae1nuqmV93pUFtVYqbt4qs,1344
nemo_text_processing/text_normalization/sv/data/money/currency_major_nt.tsv,sha256=oYRiSttCiuq78sob-a-BZjy-36qhH3jLGwfYx1nBd7I,27
nemo_text_processing/text_normalization/sv/data/money/currency_minor_plural.tsv,sha256=7SEFIZbCTCMwoUrKhwB5TBhPz5mdgJr-taoJhTG9X1I,745
nemo_text_processing/text_normalization/sv/data/money/currency_minor_singular.tsv,sha256=_19CtTINKYiReoFUkHh_MG1ipXGmZS6UMhUEAvlU4gM,735
nemo_text_processing/text_normalization/sv/data/money/currency_plurals.tsv,sha256=tdZhF64xymxCmWJxoL8dwO-BhEJCCNZiJTrcjyxUe24,1197
nemo_text_processing/text_normalization/sv/data/numbers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/numbers/digit.tsv,sha256=tpKlhtrDgKpj3wfHJdfIfSc-j8NsF9WQpAMT8SDa-EU,57
nemo_text_processing/text_normalization/sv/data/numbers/fraction.tsv,sha256=djQ7qxVyUBu8OT3Mtey95DQDFYfdzYMRSekMw9FftTQ,142
nemo_text_processing/text_normalization/sv/data/numbers/millions.tsv,sha256=-xnKz1ncgGRiRyXaLi1hS856lTh-rWZpVqnreUz81ec,1586
nemo_text_processing/text_normalization/sv/data/numbers/millions_abbr.tsv,sha256=6yydMo4daVMozP4U3q0xZIMvJQqjxu0gvjVSAR3ZT-4,46
nemo_text_processing/text_normalization/sv/data/numbers/quantities.tsv,sha256=6V08OC-VDH6crCzQl1h9isDq0iJ9yivzSKl7ayU0X74,330
nemo_text_processing/text_normalization/sv/data/numbers/teen.tsv,sha256=B7DT4dXNnyIFDMvd-PZkrdGBcVadV_b1oDLHe4AkWAk,94
nemo_text_processing/text_normalization/sv/data/numbers/ties.tsv,sha256=w36iSn3f3ewSwNfttic_mErs-29nDH7AYo6zgH3hZe8,72
nemo_text_processing/text_normalization/sv/data/numbers/zero.tsv,sha256=7AfH_Itd-JSm2B2XDHZNNT5RJGR7R6M8VHNsQsFGMlc,7
nemo_text_processing/text_normalization/sv/data/ordinals/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/ordinals/digit.tsv,sha256=6zeKol-PYPevPEB9cp3zKYkfbu7exQMfPAmXrHsuncQ,83
nemo_text_processing/text_normalization/sv/data/ordinals/teen.tsv,sha256=oAw3oj0bY7ipiy8epeyjTlpjri7SmGdqDvSDx02ysps,115
nemo_text_processing/text_normalization/sv/data/ordinals/ties.tsv,sha256=u6GgXYihkm2ES-V4ezzWCTZ7QfGDPfCnsyPlLsFKkFw,96
nemo_text_processing/text_normalization/sv/data/ordinals/zero.tsv,sha256=pbrHIRV_QHPyKvf3PiARpiHh3dGI3d7BXGZTOojz9U8,9
nemo_text_processing/text_normalization/sv/data/roman/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo_text_processing/text_normalization/sv/data/roman/digit.tsv,sha256=KCFeqI5SZIY1ebXfg0mi_rCBbPi7ukfV08dJB-oXXFQ,46
nemo_text_processing/text_normalization/sv/data/roman/hundreds.tsv,sha256=oUak1_4HZi9ExrQyyfmmv1FxiJOYd9nPWVvF1TxL9iI,46
nemo_text_processing/text_normalization/sv/data/roman/ties.tsv,sha256=m2oniYdCZuNDGdK5Dy8H50kjMO9LPJ63iC77hVuAMq8,46
nemo_text_processing/text_normalization/sv/data/telephone/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/telephone/country_codes.tsv,sha256=CgNTDQU40y_Ot4mmnky85eeKyq3eGXUrg1-9-CMyNf0,804
nemo_text_processing/text_normalization/sv/data/telephone/ip_prompt.tsv,sha256=y7rMbucHxzNuMJ8vk1beBa1zT_Ses-ToOE6B5PFnSLI,22
nemo_text_processing/text_normalization/sv/data/telephone/special_numbers.tsv,sha256=CL3nYwgA1i8ZWefC8PEg4Ct6GFY0xYXUtwQ8BSpz8KM,96
nemo_text_processing/text_normalization/sv/data/telephone/ssn_prompt.tsv,sha256=_RGO-_lGlY8_CJPdJg-PmNnB3aunD8nPOpV4lyDsPSM,28
nemo_text_processing/text_normalization/sv/data/telephone/telephone_abbr.tsv,sha256=Is95QXXKVG8fwcN-_38hhL2m0M9O6r7pKnTZFr0z2NM,381
nemo_text_processing/text_normalization/sv/data/telephone/telephone_prompt.tsv,sha256=JZTgQLdcC0YVxol_Kzr1SLzhPFJm7iEhkO_mfnqwca0,58
nemo_text_processing/text_normalization/sv/data/time/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/data/time/hour_to.tsv,sha256=o7OL7UEPZok101ZzRpeCuySJEeugK8mR0J281Jp85EQ,53
nemo_text_processing/text_normalization/sv/data/time/hour_to_night.tsv,sha256=ZOuG_Rpc4zyXDJRcXh1mX1zgP9_PSZMKT5I4_Adb1YI,67
nemo_text_processing/text_normalization/sv/data/time/minute_to.tsv,sha256=1MUaWI726LrpwnfszcllLwGTcl5DFneNoJ3-uGK2DVA,336
nemo_text_processing/text_normalization/sv/data/time/suffix.tsv,sha256=mcG_hTMd26gbhAJIz61qMoIWDqCpVNXQkcP405B07BY,261
nemo_text_processing/text_normalization/sv/data/time/time_zone.tsv,sha256=GXoUe_IiKRMmX9ieMqyS3ShzEydYE8YBdJ8hQ8bENo0,64
nemo_text_processing/text_normalization/sv/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/taggers/abbreviation.py,sha256=Z8aI_d8cqw1jLrNUzXaPIKTU2GNDUGA5UIrmwr3yqNI,2168
nemo_text_processing/text_normalization/sv/taggers/cardinal.py,sha256=2WP0eLLH_jbcYe3NFlumb4J0etK115yae15Gc5-QCJ4,18344
nemo_text_processing/text_normalization/sv/taggers/date.py,sha256=y-WvpTrXuermZrSBX0wJhjeSHrBaFUQO4WxvGyeiV0E,8095
nemo_text_processing/text_normalization/sv/taggers/decimal.py,sha256=NTqSI1cLsMswSEeY3-Dxc62Ulv9lNZhGZzKM08Kz6Rs,7106
nemo_text_processing/text_normalization/sv/taggers/electronic.py,sha256=pKjEiGNLiPA25tdcenc1tUY6zFf52VcKIpDEK4-at40,3481
nemo_text_processing/text_normalization/sv/taggers/fraction.py,sha256=b-Qcuf_BnJgrmp5cp7yV3NPEdlgcIn_m2_mP3gSrtEA,4238
nemo_text_processing/text_normalization/sv/taggers/measure.py,sha256=vxITFJ0tMiKzlvVr6vE97OYMOlZEa7Rv-9gLBqnPrKw,10154
nemo_text_processing/text_normalization/sv/taggers/money.py,sha256=mhraw-2Oitx0J73WTMmJc0xrFULhqpYNjgt07c3L8QQ,12313
nemo_text_processing/text_normalization/sv/taggers/ordinal.py,sha256=0FN2W-p2CpCpone0tDh7qgAeF5EUNzMtLZcpPQ1Xfhg,9510
nemo_text_processing/text_normalization/sv/taggers/telephone.py,sha256=S8Q_RpvAgo33WwQ7Hr6HkrHVLGYZmA_vztfrkFh9uNg,8398
nemo_text_processing/text_normalization/sv/taggers/time.py,sha256=K232mzlTSA39NjRQNSmdZiWPB5ih1oBia8hJL2VhJYM,8799
nemo_text_processing/text_normalization/sv/taggers/tokenize_and_classify.py,sha256=diLAhB0J_FfURQfxv3qXPAC6-HKpA1Gq2R9C8vvB2-o,9197
nemo_text_processing/text_normalization/sv/taggers/tokenize_and_classify_with_audio.py,sha256=nly6_m6uzm7xbWtXHz_SmUINDflLfXRWDKUkWsZVgG4,11054
nemo_text_processing/text_normalization/sv/taggers/whitelist.py,sha256=TvCxxLSNT5jtH63tLoENYQM_DflxPW3SbApFtSHAZ2o,3024
nemo_text_processing/text_normalization/sv/taggers/word.py,sha256=uTcZZvaymklyUUFcjP5PngG2BVOgCu6pjd2A14Wkt5I,1323
nemo_text_processing/text_normalization/sv/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/sv/verbalizers/cardinal.py,sha256=7tJ1HNWugvqGgB0kJ4F8d_bXOUrhYIIjzIMB6PYkdG0,1733
nemo_text_processing/text_normalization/sv/verbalizers/date.py,sha256=bypnk-L1_HieM9bmbMhyahpRpGYQzFdzU-5dQhKgaIg,2618
nemo_text_processing/text_normalization/sv/verbalizers/decimals.py,sha256=6Pp5pFpCRt8s8WKzv_yhxkccLbAOpTSmax32Ak_Dw0A,2911
nemo_text_processing/text_normalization/sv/verbalizers/electronic.py,sha256=pwsKyfDbZF4QlByEA0OjvxshDScB2J_LBwHM8tkLXQY,3679
nemo_text_processing/text_normalization/sv/verbalizers/fraction.py,sha256=4l1-xxLc59vNfDfb7WulnNt8V2B4Lty3FPrzlzc4jjE,3156
nemo_text_processing/text_normalization/sv/verbalizers/measure.py,sha256=cQLsAtIcEsBFrQn4K7ubJstHbji7Pek3pS9DAEDSOnM,3750
nemo_text_processing/text_normalization/sv/verbalizers/money.py,sha256=T9vn_QBLvZb_ODgLCQk2P84ykPuM6zsBUOTBKmLl2Vk,2807
nemo_text_processing/text_normalization/sv/verbalizers/ordinal.py,sha256=IsaihkaZ5_2BxER3sIUOidDJMJW3NbHUK_4m6HCXIhw,1585
nemo_text_processing/text_normalization/sv/verbalizers/telephone.py,sha256=FUWSIVWTSEtw6Jz3e4LBqRO4cp4Z24j1pqCyIwust9Y,2426
nemo_text_processing/text_normalization/sv/verbalizers/time.py,sha256=V9DsmyfA7Pb4ywiLUt5ETfwgh1lsDUtqFpkUm3rmH9Y,4271
nemo_text_processing/text_normalization/sv/verbalizers/verbalize.py,sha256=XmIlQ2hVZqnZGLBIg_3PCUqCI3-YqVUMsK0hxk_FUeY,3589
nemo_text_processing/text_normalization/sv/verbalizers/verbalize_final.py,sha256=Q5HeyjZ0wO4kkK32rvNe8p548Dw4QbFjfeBeGustdRQ,2910
nemo_text_processing/text_normalization/vi/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/graph_utils.py,sha256=Ez2LyPhuqUaaUuix4DExjVMl6R2xW5Q0dvoJR_2V2o8,5557
nemo_text_processing/text_normalization/vi/utils.py,sha256=rgELE3dcveyzsMozFM6HHlaKOErArdyiOe8Gq2vz3hU,1173
nemo_text_processing/text_normalization/vi/data/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/whitelist.tsv,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo_text_processing/text_normalization/vi/data/date/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/date/days.tsv,sha256=N3AI_8h5qndkq6LSzJxMUQJuQuiXHnbv8p1u50luOEM,510
nemo_text_processing/text_normalization/vi/data/date/months.tsv,sha256=wDanFRhJSlDcGeFI1-p0wY3ik0B3_qK_WePxgUPeEKE,175
nemo_text_processing/text_normalization/vi/data/date/year_suffix.tsv,sha256=mANfOUuLRefhFFUvQT4anzvXDY6aJDTFiO_Flk7F_hA,97
nemo_text_processing/text_normalization/vi/data/fraction/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/fraction/denominator_exceptions.tsv,sha256=MVA_AP3O56nriD3rx74pPHZUgEkSTjFb3sOaV0_ybiM,5
nemo_text_processing/text_normalization/vi/data/measure/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/measure/base_units.tsv,sha256=Uwo5Sh_A4eWcUyhgp5Vs_hs8j5mRpiSUjA-z1aVxaEE,184
nemo_text_processing/text_normalization/vi/data/measure/measurements_minimal.tsv,sha256=lgzMOY6Lf2VzhvV4E0wyqzwievRrrnshGtYg8xR2O7Q,449
nemo_text_processing/text_normalization/vi/data/measure/prefixes.tsv,sha256=PmdhY7cVfwfusHeR-3froDnjvnSCiwh0UCTJasktB2M,169
nemo_text_processing/text_normalization/vi/data/money/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/money/currency.tsv,sha256=O1_2JCAQorsLQbCWAvwBEGbUPiIg54Ed7oomoy74Yds,853
nemo_text_processing/text_normalization/vi/data/money/currency_minor.tsv,sha256=VDRWKIK8LK_QeerMTxIP8zOwd29rnsLMsJXL2RCM67g,55
nemo_text_processing/text_normalization/vi/data/money/per_unit_bases.tsv,sha256=8hMwXTAQ8bJF-gFihR14Yu3pOw8vhIwlvDgNElhBm-w,87
nemo_text_processing/text_normalization/vi/data/money/per_unit_non_metric.tsv,sha256=P683vxrdbOFGZh4xZRNc6VggXgdPYFTA_4ULkEbQ2xY,529
nemo_text_processing/text_normalization/vi/data/money/per_unit_prefixes.tsv,sha256=sAECvE8xBkcpCSjNHrGQr09PRCRAz-e9IibwjBNhFpM,53
nemo_text_processing/text_normalization/vi/data/numbers/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/numbers/digit.tsv,sha256=tSZv-oLyfZuGMc-wqx6dbnwaXJdQ8CYNujeKyC_Hxgs,63
nemo_text_processing/text_normalization/vi/data/numbers/digit_special.tsv,sha256=wVTegbEPDcik2V2mEJH-RxOxcu4XHhd4G9gKAxgSQhc,37
nemo_text_processing/text_normalization/vi/data/numbers/magnitudes.tsv,sha256=7dqs5pg7yRZGrXcwsgkX3httnMcCGhYLo513_2Q-i1s,136
nemo_text_processing/text_normalization/vi/data/numbers/quantity_abbr.tsv,sha256=jG-ST7XV0UkoCnkGtyev3eXIrM0LJIYF3nv4Crn4fBo,64
nemo_text_processing/text_normalization/vi/data/numbers/teen.tsv,sha256=Mek6n7kkQLfzW63oMwyiEGoBtrZMvH7hrSJ3_1Hgcmo,155
nemo_text_processing/text_normalization/vi/data/numbers/ties.tsv,sha256=peTI2Ul_vCOf_x3nhzv7JtKQe0sDgwpXZ0VSlZ-_XkI,111
nemo_text_processing/text_normalization/vi/data/numbers/zero.tsv,sha256=a2uRDwIZYK9d6EFjD9_N8l6lfvo8PfCWAxSRRhRX24g,8
nemo_text_processing/text_normalization/vi/data/ordinal/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/ordinal/ordinal_exceptions.tsv,sha256=7Mq_M6Uw8ik-uywxhLDPbI8RxPavNSPA97WhJ9pNWVc,14
nemo_text_processing/text_normalization/vi/data/roman/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/roman/key_word.tsv,sha256=-JDCduNfetAuqp9eIUPQkoAw3qaNJxVN24175hHVm4s,126
nemo_text_processing/text_normalization/vi/data/roman/roman_numerals.tsv,sha256=9Ou4A4qD594makxP381mvvBmpGRUhn1i3TMOlHlqh6g,72
nemo_text_processing/text_normalization/vi/data/time/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/data/time/time_units.tsv,sha256=8R5siIw1JWuHdR_06nRDzSMEHEdOYos42TALigCl8C0,31
nemo_text_processing/text_normalization/vi/data/time/time_zones.tsv,sha256=ME-__yugHTyK36JlnbxV0awlhfCVxgwlBzUzr5YadXg,136
nemo_text_processing/text_normalization/vi/taggers/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/taggers/cardinal.py,sha256=KurxeVYFYfGlpx5xozhXKP4dGByIrdE9jq7iPIL-AZ8,10557
nemo_text_processing/text_normalization/vi/taggers/date.py,sha256=TTa2e-RZoF9vtZw4mp91anZoZq1MFM-3cbsdMHhTzr0,7366
nemo_text_processing/text_normalization/vi/taggers/decimal.py,sha256=t1R-bnJFmmL-OEzLQ2bZGlS8i0FvC6MPNYx7Cjb5CI0,7281
nemo_text_processing/text_normalization/vi/taggers/fraction.py,sha256=pLkt_gLClJoG5w7nl64LYHlgqxF6Ao424YtUbHDHtr8,3365
nemo_text_processing/text_normalization/vi/taggers/measure.py,sha256=ipL_lzpgk8houSWCKNe4-AVRt-t7AcyzehwHgif9PxM,6686
nemo_text_processing/text_normalization/vi/taggers/money.py,sha256=jCFMnVTkBi2yiZiXtd75QkUgBnuUOAXpyKUmzOrIB9M,8205
nemo_text_processing/text_normalization/vi/taggers/ordinal.py,sha256=hoOS5uRuUtJ7smWWSEBFgwX0DGgv6ysZpUEi_mDN83E,2359
nemo_text_processing/text_normalization/vi/taggers/punctuation.py,sha256=bPd9GFBvprIOPKhWHF41OABYSmuoAvQ-CKdGA-F2OXU,1252
nemo_text_processing/text_normalization/vi/taggers/range.py,sha256=3yD7jKvqqG-SZJNt6BJrHV2BYpsNw8qCa79SEaL_8tk,2481
nemo_text_processing/text_normalization/vi/taggers/roman.py,sha256=kmCifOEkK4klRLriV5hlgzcJxIS8TMPF4ibgz2yW3n0,3612
nemo_text_processing/text_normalization/vi/taggers/time.py,sha256=XwYB9RsrBXZXdCh02WgDvUE6W8ALWpIz6SDyesTEC7s,5275
nemo_text_processing/text_normalization/vi/taggers/tokenize_and_classify.py,sha256=sCg4GnpZtHDuBIeb0YATMEkOgjgvL4Uf84f3MmlaWxI,7784
nemo_text_processing/text_normalization/vi/taggers/whitelist.py,sha256=j9ULr1Qraw5V1zhby1jyeYCoebpTKmN9V0khxPboO4A,3053
nemo_text_processing/text_normalization/vi/taggers/word.py,sha256=a6uiC-lkbq2RsVlLg9GVgQkPhr8CmR2gj45eHx6rJSk,1874
nemo_text_processing/text_normalization/vi/verbalizers/__init__.py,sha256=IkW77DuWte8ePsFepMVoSpB0zDM2T6G4rcsF70E4Aq0,623
nemo_text_processing/text_normalization/vi/verbalizers/cardinal.py,sha256=iXOvtfneLLEaoPhAa2I0ScpqT4J0vrl26sBuaKHuLdw,2324
nemo_text_processing/text_normalization/vi/verbalizers/date.py,sha256=7HCshq5jY8SzVWwzvcCwdu4hl0TP8Cc7XQmkGQdHlrM,2953
nemo_text_processing/text_normalization/vi/verbalizers/decimal.py,sha256=6nF4LXkhIQqWXw2auhMmIYzzg6MqlHnjGF0KirSP7AU,3713
nemo_text_processing/text_normalization/vi/verbalizers/fraction.py,sha256=LXSpZeFn1B7HUL9ThU56RfNNLPOe5DpUZAQGSsag4WU,2538
nemo_text_processing/text_normalization/vi/verbalizers/measure.py,sha256=Hr7UebP9bKsIcio0W353j3RXi18bZ1rBealhnyAMG8I,2956
nemo_text_processing/text_normalization/vi/verbalizers/money.py,sha256=lpmnaNJkaKWfX_i5bnRM05VXEVCx1GacoHcg3E4WA-o,6027
nemo_text_processing/text_normalization/vi/verbalizers/ordinal.py,sha256=AGaSEY099lZe7z8YkqDvKNFoFfQ-aaUI4PEfzmkn_jM,1847
nemo_text_processing/text_normalization/vi/verbalizers/post_processing.py,sha256=LtVMxIqTK-ftV5gK2YMB_gJWha5naxexygaeWhS4FXc,5294
nemo_text_processing/text_normalization/vi/verbalizers/range.py,sha256=evVxPNPCul2Blj2VG3MisBuggsf3-aGbQhIsHL-PR50,1831
nemo_text_processing/text_normalization/vi/verbalizers/roman.py,sha256=vkY7jDf-j2emHxwz4w8_UEqExSK2TuxXutcrwM5q_bs,2103
nemo_text_processing/text_normalization/vi/verbalizers/time.py,sha256=GvHYpnInLsLD5kFdHeG_Ooh0tSqw4qfBqU44bpdXHYI,6734
nemo_text_processing/text_normalization/vi/verbalizers/verbalize.py,sha256=z7-_fOPXOx35VasUCJZEzWBOk0s-JuAJQbZ3zwG7dGs,3448
nemo_text_processing/text_normalization/vi/verbalizers/verbalize_final.py,sha256=-SrCz1y8884Hmp9VzrMZJp32B-MqhbBdh4qIjvtSKSM,2972
nemo_text_processing/text_normalization/vi/verbalizers/whitelist.py,sha256=p77RLbJGBohxCnKFUcYaAu1dMmJLrJw27V4uKtADyM8,1713
nemo_text_processing/text_normalization/vi/verbalizers/word.py,sha256=qGIo3eMBfC3hTdxys5tpOI8HdbI8iIEE_wsGvPy5TkY,1587
nemo_text_processing/text_normalization/zh/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/zh/graph_utils.py,sha256=i9_KWih1CdNqQks_Tt4NJadBL710Pt-J2EKeaODShGE,5130
nemo_text_processing/text_normalization/zh/utils.py,sha256=lDrXwft6MGLQ9ewiQkEL45P3Y-oSuavACKf7xmyuG6A,1900
nemo_text_processing/text_normalization/zh/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/data/whitelist.tsv,sha256=gWCqhVKheJvviyw8wLnDIVrThrFHlSGeBQ41nU2otw4,1362
nemo_text_processing/text_normalization/zh/data/char/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/zh/data/char/charset_extension.tsv,sha256=up5ayqZ3Ob2bIqDFSFSFTqxZYDHUmCeoryxq3lMqIR4,24
nemo_text_processing/text_normalization/zh/data/char/charset_national_standard_2013_8105.tsv,sha256=7GLEH98Fh_T2L_UhgD8LOQzPps7XBbT3ZM0KKK1etAQ,32616
nemo_text_processing/text_normalization/zh/data/char/fullwidth_to_halfwidth.tsv,sha256=VlJlIguiqFXpK0rEdGsV5kHNTR-kug9nujpRj4-PHNY,553
nemo_text_processing/text_normalization/zh/data/char/oov_tags.tsv,sha256=abb89vR-aohg7bqDhd6ZHvFNWRke07wjTkj61jOHkak,13
nemo_text_processing/text_normalization/zh/data/char/punctuations_zh.tsv,sha256=IFMWmvIwqkfAiWtirHmRVhyLxNdJAk4jZTdhVC6ZvGo,291
nemo_text_processing/text_normalization/zh/data/char/upper_to_lower.tsv,sha256=76YtZWl-x9vHqi93QrPB_HoyvY-GC5Czwe9NN47b_h0,72
nemo_text_processing/text_normalization/zh/data/date/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/data/date/day.tsv,sha256=yGH5n4HokBvH3JVaAACMsW181IGRj7h8w72M7cZCsnQ,363
nemo_text_processing/text_normalization/zh/data/date/months.tsv,sha256=qNngtWu5Qnv3Z8LviEJJU-3usKlvAeBV1rXWBsCHjis,144
nemo_text_processing/text_normalization/zh/data/date/suffix.tsv,sha256=Xe4HkSwThdGYdukmja7gQ54qp_MdILafzHD9zAMt-GA,222
nemo_text_processing/text_normalization/zh/data/date/suffixes.tsv,sha256=f8bxsBQPhquyXLs2lDIdCifoUoJgGlBCpD_DLYzi2IY,206
nemo_text_processing/text_normalization/zh/data/denylist/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/zh/data/denylist/denylist.tsv,sha256=KEuWqKRGQR0POZPpiujkBlhS9WD-TzBoPvWwTZBQob4,7
nemo_text_processing/text_normalization/zh/data/erhua/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/zh/data/erhua/whitelist.tsv,sha256=yKHbjyuiq83m08XSC6OQ_5N0lw6vhIIF2qwOV8ebdwk,350
nemo_text_processing/text_normalization/zh/data/math/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/zh/data/math/score.tsv,sha256=CSCW5x7JsY2kzEfnqlwYVBT6Q4WE0dnNwe0eZNK6Ea0,14
nemo_text_processing/text_normalization/zh/data/math/symbol.tsv,sha256=OgGb0SsvJCmSXwOrai3RqKJY_ZUg5D1IuwyWl_ai3_U,57
nemo_text_processing/text_normalization/zh/data/measure/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
nemo_text_processing/text_normalization/zh/data/measure/units_en.tsv,sha256=hFHUZ09M6Vqeu401OlsCUIfI5Nin25b3iwsJJnW8caM,839
nemo_text_processing/text_normalization/zh/data/money/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/data/money/currency_major.tsv,sha256=iliW0rKreY-CID35uQvBjhPP3CAGmPuy3MQHrk6S7eg,4047
nemo_text_processing/text_normalization/zh/data/money/currency_mandarin.tsv,sha256=Rk47lqs_EQAQe9dES3WxNuiCIdr3qQkHLaM0SAis3kY,565
nemo_text_processing/text_normalization/zh/data/number/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/data/number/digit.tsv,sha256=3LyR8iOa_YgBW9Pe2P2-cqj49Obs2CTg8M6Db5caBNw,54
nemo_text_processing/text_normalization/zh/data/number/digit_alt.tsv,sha256=1_yvdX2bghfGHJ8wu07Us1SrQqdOjhB0tU3P-0TzcCw,54
nemo_text_processing/text_normalization/zh/data/number/digit_tens.tsv,sha256=QfPL4jlF4u_ww_-4SAtSlzGBZu1KsU11WoyVdFn8ya4,47
nemo_text_processing/text_normalization/zh/data/number/sign.tsv,sha256=zuftmi05gfaMp37e1vaRIQbi6nigLo0xI-YT3yN31-k,12
nemo_text_processing/text_normalization/zh/data/number/suffix.tsv,sha256=2f8r8eqYZbt62_gizbWgdgr7DEKxsiVg7wYif-lUB_8,143
nemo_text_processing/text_normalization/zh/data/number/teen.tsv,sha256=3uTObw3fO9BaisK2J_AAntk06EOT0IvOBsM0r6AbXsY,97
nemo_text_processing/text_normalization/zh/data/number/teen_alt.tsv,sha256=6sETGncX6YpQGIgcwKxDx3-EuUN9W7Kq1COgju2Y3_w,127
nemo_text_processing/text_normalization/zh/data/number/ties.tsv,sha256=lEXcIab3jzdGzXscUukpgx88dO-lbsarKT68zXymflY,72
nemo_text_processing/text_normalization/zh/data/number/zero.tsv,sha256=US3uvg5iOVVN9FNfYWXDNxjkuxZOHSIcqqXZEvVyUK8,6
nemo_text_processing/text_normalization/zh/data/time/AM.tsv,sha256=pK9_Ly7eCE82VMCSfJXo86HGFGbJwstCOg5aBDBaOnI,35
nemo_text_processing/text_normalization/zh/data/time/PM.tsv,sha256=aUbX81sI9TLvhJbUIcnwy1wJjYGQiFps1X7jIwqKCLg,36
nemo_text_processing/text_normalization/zh/data/time/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/data/time/hour.tsv,sha256=ddjsM1hh-nkYgvBff6qe1ljC-Hcw2sAbgxivKX0preA,288
nemo_text_processing/text_normalization/zh/data/time/minute.tsv,sha256=7gOaP0P1em_Zyg7e716ryNDK6L6EmLjc5H1lVie7RBw,744
nemo_text_processing/text_normalization/zh/data/time/second.tsv,sha256=7gOaP0P1em_Zyg7e716ryNDK6L6EmLjc5H1lVie7RBw,744
nemo_text_processing/text_normalization/zh/data/time/zero.tsv,sha256=micfKpFrC27mzsskJvCzIG7wdFeL5V2byU9vP-Orhqo,2
nemo_text_processing/text_normalization/zh/taggers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/taggers/cardinal.py,sha256=VJLt99SfwV6q8d0g4ZEMqRrOegnV9LOBD3xx4jkEFxw,10097
nemo_text_processing/text_normalization/zh/taggers/date.py,sha256=d6LRBS-Mxu98_4PGES2ayvqqmZQW-sK96QEmLZIVCuA,6024
nemo_text_processing/text_normalization/zh/taggers/decimal.py,sha256=ZxNGyxDBaTt-wqBxrT5jUsge7hC502pRReJ0QvTAIDQ,3916
nemo_text_processing/text_normalization/zh/taggers/fraction.py,sha256=1SjG08--AwP5HnqsgFvSfuRMyBB_J-dRgnO63ZprXqM,6204
nemo_text_processing/text_normalization/zh/taggers/measure.py,sha256=Aa6lbbescVuvAJAFA9mLlcA8ld41ciAkddKbvjp-Dxo,3122
nemo_text_processing/text_normalization/zh/taggers/money.py,sha256=o2fuZcVFApQWWJMSHfoihwi25asENpyEdQWGpRS2P30,5032
nemo_text_processing/text_normalization/zh/taggers/ordinal.py,sha256=Y40vMvpzvXdPK70GxPk4e1fqdTE-lrdLys0nbJ6W2uM,2808
nemo_text_processing/text_normalization/zh/taggers/preprocessor.py,sha256=eGMvWyA1zEUCIRDyJvWjVmkWISNTDOLlnIqEKirW9TY,1844
nemo_text_processing/text_normalization/zh/taggers/punctuation.py,sha256=rIBuXM74jMo4-YpSfTQtKiLpq8MC5NPRLwdpb4gWAN0,2655
nemo_text_processing/text_normalization/zh/taggers/time.py,sha256=KmWDO-OyISPPnpSfdLT_gyN7pjWX_HbLJUoQvAISues,6613
nemo_text_processing/text_normalization/zh/taggers/tokenize_and_classify.py,sha256=bio1VEDYpirkvt5TjI4Qre80uB2tBviQnFxZ85MacyE,4985
nemo_text_processing/text_normalization/zh/taggers/whitelist.py,sha256=qAkM9hVlKGqw04h4QL1Ci-38r9d_BVeSYVN0h6F_nK8,2358
nemo_text_processing/text_normalization/zh/taggers/word.py,sha256=l3qyGpRD59HSphxx6yQfpcIBSCeNkng9RJtTJopm53k,1330
nemo_text_processing/text_normalization/zh/verbalizers/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo_text_processing/text_normalization/zh/verbalizers/cardinal.py,sha256=BIOU0ExpJ4lw6ekditSIYbR_C34_CNKvKeiySzZIza8,2022
nemo_text_processing/text_normalization/zh/verbalizers/date.py,sha256=xaHY2nrNv0_hFjOiM3gtjX4TWZie7VI72DgOyt1tW-E,3669
nemo_text_processing/text_normalization/zh/verbalizers/decimal.py,sha256=Jzwhdg3S8FrwWOYNElo8Hk-9gMZNVdN4abKTr0HoIRA,2510
nemo_text_processing/text_normalization/zh/verbalizers/fraction.py,sha256=CYy9D1pB4AoDiROInc9jcr4DYL50VM2ZIrBEMOOZtDI,3274
nemo_text_processing/text_normalization/zh/verbalizers/measure.py,sha256=YteUT9zbMn1AD8SimwqBRdoNds92M_ErtI9A-G0zFg4,2688
nemo_text_processing/text_normalization/zh/verbalizers/money.py,sha256=kyuOu7ttVPakCMxlO7nphYXnK4Oqozi5jYhzMsU8Pno,2784
nemo_text_processing/text_normalization/zh/verbalizers/ordinal.py,sha256=kGu0NodQ3rt_XFF9MAylzR1uXC25zCynxqU_uGkErNE,2127
nemo_text_processing/text_normalization/zh/verbalizers/post_processing.py,sha256=7fWEoD2HRW1NZUUS3wj3a5BbAwrmaw9IfwHdnwwBTY0,3683
nemo_text_processing/text_normalization/zh/verbalizers/postprocessor.py,sha256=O_8ozPO5UyjK72LiNr2Ma874V2w1dc2-DggAUFD_Lls,3065
nemo_text_processing/text_normalization/zh/verbalizers/time.py,sha256=-BpQBtvl6UAXE2OF3UPqZzUduiEG-3o7C_oI6AIJLCw,3893
nemo_text_processing/text_normalization/zh/verbalizers/verbalize.py,sha256=h84LNuh6aQyln0srOJBar_-tmazC78kG711iGknCtRs,3201
nemo_text_processing/text_normalization/zh/verbalizers/verbalize_final.py,sha256=HRGc0G4mUDYxmbnrMyUaWegEZh3c-egGYhz9Pn3w7G8,2222
nemo_text_processing/text_normalization/zh/verbalizers/whitelist.py,sha256=4_1LNHNq4t7xQDPGFmo_UBzPk24KYe0_raNJmLgMCAo,1288
nemo_text_processing/text_normalization/zh/verbalizers/word.py,sha256=HaN3NyjDxeZST1G0CVqDZ-fL8m9u74ZxG1pO4VlduN0,1102
nemo_text_processing/utils/__init__.py,sha256=EWUhVKpDfVLhMFrtKh-LibS7iH_fL8HmGUlm3M-VUfs,677
nemo_text_processing/utils/logging.py,sha256=HtKQpCtK23PAMeEG3DwfsNzW3VIR8Ijm9hJMs_phJd4,1021
nemo_text_processing-1.2.0.dist-info/licenses/LICENSE,sha256=QwcOLU5TJoTeUhuIXzhdCEEDDvorGiC6-3YTOl4TecE,11356
tests/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/conftest.py,sha256=cZ-hXPRBrxk6X6r2Zoj88WkMDS2uzmjEckop26gOXWo,8143
tests/nemo_text_processing/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/nemo_text_processing/utils.py,sha256=EHbm-NN74s43yUX9ojN-tdjUwSgMN9Xn6YrFqM96q7k,2848
tests/nemo_text_processing/ar/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
tests/nemo_text_processing/ar/test_cardinal.py,sha256=iO2AQQBHA_VU8F4jjlufRmL9z_0wobkly9aZcfvQfsQ,1874
tests/nemo_text_processing/ar/test_decimal.py,sha256=ruswIPETkkWgrmfkkJD4yrAPv3n5LAvbpJ0GAUq_WoY,2649
tests/nemo_text_processing/ar/test_fraction.py,sha256=rj-0YNy9btGQqcG82RY37haXv-HEalHqwR9VORqCESU,2303
tests/nemo_text_processing/ar/test_measure.py,sha256=S5sF0ItGIOtNGbl3-RPd4Pl7NV69Jbw898mIFZAdBxk,2918
tests/nemo_text_processing/ar/test_money.py,sha256=qqaFKsFDMBoH2fZroaRulVpFU6gqaVF_T5YEaaHh1ps,2407
tests/nemo_text_processing/ar/test_whitelist.py,sha256=b0sGitEbuCBETRqToTZaxm3xK1LMOLM1v_xm_s2Jq-E,1955
tests/nemo_text_processing/audio_based_utils/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
tests/nemo_text_processing/audio_based_utils/test_audio_based_utils.py,sha256=YWjmUmPxPfQevxjfvh3AKROLIA3T6BhGo_PjfJQNJAE,1325
tests/nemo_text_processing/de/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
tests/nemo_text_processing/de/test_cardinal.py,sha256=fEJswZbtH4EPYDNUlnMnwq4_l9bKK-wfu9vAakAiOCw,2327
tests/nemo_text_processing/de/test_date.py,sha256=dN90-G5EyBXlyYtu0DSZLLiXOmc-8UVEvIMZyF46jZM,2314
tests/nemo_text_processing/de/test_decimal.py,sha256=TZ-vswnOlBxe-DnvUyiCFvLXNrwLRPRErPdnojupf5I,2323
tests/nemo_text_processing/de/test_electronic.py,sha256=tWLAgs3fZTjU1UHB4_NNV7pBFXTRWp_51eHEZNJqXTQ,2332
tests/nemo_text_processing/de/test_fraction.py,sha256=CYbAbsInym6O4uBlhxF2xgDEK8qcPmia4LgOthl8nys,2327
tests/nemo_text_processing/de/test_measure.py,sha256=mBpXf39XKzTOoOZ9ttCQOB47C-ZTALpHKa1iGTsb9j8,2324
tests/nemo_text_processing/de/test_money.py,sha256=gJ3I6v4w2pGOsQjF5XtxkLODRzwU3ldUxXVBSqdvEZg,2318
tests/nemo_text_processing/de/test_normalization_with_audio.py,sha256=QL_IRU6-DgtxJrqcPBydy8jSRlBWEE0XTBTr0TDKvsA,1547
tests/nemo_text_processing/de/test_ordinal.py,sha256=dRxwo1XeuYUTXAITvElxQ4BqAhjKkw9ftozvlka8ylk,2047
tests/nemo_text_processing/de/test_telephone.py,sha256=FmQmDmwoLkKQyJfIfVKCekaCljWr1neMNNT4NAwqQg0,2330
tests/nemo_text_processing/de/test_time.py,sha256=zG0ZR6CX5sU-RXGbf1FJRDlaWYCR6j3ASqxnH2UClB8,2314
tests/nemo_text_processing/de/test_whitelist.py,sha256=BSqEyeEKAcALLmj91LZMww6rktQ8i2iZih_X3wJwbMU,2330
tests/nemo_text_processing/de/test_word.py,sha256=Eq3A77-7_Qhn3SAgncMVwTlcVj5yONlNb0Wvl5njy5g,2315
tests/nemo_text_processing/en/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
tests/nemo_text_processing/en/test_address.py,sha256=P_RJA4CARnJjmItohW6RWfOOFIzyTT1-FzYFs3x4GVk,1918
tests/nemo_text_processing/en/test_cardinal.py,sha256=LV-oQmP-4a7VqTHcwMHiE2Y8icOp2TMKsfDPCWTuZRI,3086
tests/nemo_text_processing/en/test_date.py,sha256=KrtJ4UsRK8DDGBTbEOqFTWy3Nj1Yeh2nG211h9bRNaU,3753
tests/nemo_text_processing/en/test_decimal.py,sha256=pmem2Dhie4x4J5dv_1MvMN2UUF6GXyCfkflA0UNQWMI,2983
tests/nemo_text_processing/en/test_electronic.py,sha256=QcxyfaS2W-HU6oCUlRubErDVq81TXzIqqd8kOhNxS7s,2976
tests/nemo_text_processing/en/test_fraction.py,sha256=OMbPo2kLFWokavHmUq91KpEAXnqJxhu3-Y_IRBw8pps,1818
tests/nemo_text_processing/en/test_math.py,sha256=6AUqIBHhQlZ4NWjFMKGTnWVRBiTTHZa3r4dZNx-mLN4,1875
tests/nemo_text_processing/en/test_measure.py,sha256=NZgF2T7KnT6RZFN2p7o90Balcnl26RVIjvOik1hj9u8,2964
tests/nemo_text_processing/en/test_money.py,sha256=WRdhKwp9bq7Wj5j4yP9oAi60X7Q4LH1X3wYX8t-8sTk,3097
tests/nemo_text_processing/en/test_normalization_with_audio.py,sha256=mOIjAfsTN86MgT2ShdM3MB0iZtnIwt2cy_Nfd1xoPQQ,1531
tests/nemo_text_processing/en/test_ordinal.py,sha256=eBQwGMYNndXtSYNHodMQTsu6lXgMuTx2ycIcZKDJsbc,2975
tests/nemo_text_processing/en/test_punctuation.py,sha256=eGYgobEWPFm2z61o-dONX9XgpDd7HqKsBGz0ik_yc4M,1872
tests/nemo_text_processing/en/test_range.py,sha256=8gFS-Tq6MlscrIq0-ulpIAa2mCv91CGNUBtIdiNRB5g,1880
tests/nemo_text_processing/en/test_roman.py,sha256=bUpfuGM8_wVwen2oiKiV7Mejg06SFX9LTJ2eeL6gtHA,1885
tests/nemo_text_processing/en/test_serial.py,sha256=sAj_gT44N-4HB2YD5J4ADis7FXzgt8rS1XjVbGZQPsY,1898
tests/nemo_text_processing/en/test_special_text.py,sha256=reQncLYjWX06OJHs-hgutU3RqT3n5xLisBH4qITcqmQ,1989
tests/nemo_text_processing/en/test_telephone.py,sha256=q4VMANoHxD2uEtfwwC6uDs63eAdZ8Jz_3RXS88nD5VA,2963
tests/nemo_text_processing/en/test_text_split.py,sha256=9yRq9G7bahxhEIuG9p18uVo3hnK1iHR9WH2CBSd9PaI,1749
tests/nemo_text_processing/en/test_time.py,sha256=6fn4R_vpft6UFV_tEZ4w0jfNLRj_VlBMesL2RsEe-Ds,2929
tests/nemo_text_processing/en/test_whitelist.py,sha256=8RlIFWR6FK4DMXan5NTyepmjD0EBgYObRxpXGEOPYQo,3636
tests/nemo_text_processing/en/test_word.py,sha256=TGvqJM8VKt2Wfm3Bnb7tYMR3i9PaHktJ3dGTeJB24Gg,3025
tests/nemo_text_processing/es/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
tests/nemo_text_processing/es/test_cardinal.py,sha256=XLPQZj4Byh5CUu0iXfd2NSMK6Ou5Oue8A9J74rrvR0w,3061
tests/nemo_text_processing/es/test_date.py,sha256=7FSuqwoickFN5gzKIbFqL7P-8raFkjuKrj2VCqQW-A8,2875
tests/nemo_text_processing/es/test_decimal.py,sha256=nHUbVVlwQvQJ44Abn2GUyzDeD9XyXqHeSBkhWkg8LaU,2950
tests/nemo_text_processing/es/test_electronic.py,sha256=NmNFtNwiDtL0bBY0nMIOfuJ6GGFdT_8GkM0b4VLRNUQ,2971
tests/nemo_text_processing/es/test_fraction.py,sha256=vbgQh1gFTMWx3o4bSxJT7xYudoPTWUlEBCL37_NP3C0,2606
tests/nemo_text_processing/es/test_measure.py,sha256=woYRnfpyBpuSTN-RWxLyCHos9PciYu5GEMIcEqBtrsg,2960
tests/nemo_text_processing/es/test_money.py,sha256=oig_hJ5QpnTHHpKvMN6xVtjfY7dCL-XZOXGnEjPWFPA,2943
tests/nemo_text_processing/es/test_normalization_with_audio.py,sha256=xweUktH0_6c_8pgaMJ1ZggcTpi1cPE_ANePySmkN51g,1508
tests/nemo_text_processing/es/test_ordinal.py,sha256=7NyeAfx8NSHU_-e7TmQa8sBZm4DSc9IfcbKvxx6QeRs,2983
tests/nemo_text_processing/es/test_telephone.py,sha256=urAWKdYztV-3GpmqeGy1vVE06ubySJ6ReYqEUIrfRYE,2967
tests/nemo_text_processing/es/test_time.py,sha256=4EdOeQdHJLBMBtsY4sidE62vAR5hKpf9wJYqSaU426g,2947
tests/nemo_text_processing/es/test_whitelist.py,sha256=7SV9aYzUZwAwuc4JQo8t53jzkjY5DyvUPKlHSudtD_Q,2348
tests/nemo_text_processing/es/test_word.py,sha256=BWFNU26fbuNpg4V78vNB6VbqfTsAtdT7zQlE0ZnsaWU,3009
tests/nemo_text_processing/es_en/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
tests/nemo_text_processing/es_en/test_cardinal.py,sha256=SjWOv2dPySpxiylZBGvuTkj1VFh9X68C5B3Br9FzQrs,1778
tests/nemo_text_processing/es_en/test_date.py,sha256=RINV9JxV4rraxKU9by4ScB7lLcCCDSmQ1GIZ3uNSq0U,1766
tests/nemo_text_processing/es_en/test_decimal.py,sha256=5xgz9azqwm68c83kIqiBS4sa7t9IbDXpBSeQU4VZbSQ,1775
tests/nemo_text_processing/es_en/test_electronic.py,sha256=LSNjdbzzpbvZXHDE1KBJ4SOa8dymGM87eyOHotaF2co,1784
tests/nemo_text_processing/es_en/test_fraction.py,sha256=D1aBScKKLvJ7Xgx7kRVbPGxEzar9jPnK61IkyKgcooo,1279
tests/nemo_text_processing/es_en/test_measure.py,sha256=Qa46dxCr0NNcjwYkDbDarfnIfG6Nn7SOVbpmxWMfPr4,1776
tests/nemo_text_processing/es_en/test_money.py,sha256=a3Xgqeuly4AmxihbqmywlLOaHpuaQs5iLGSDTOwHGB4,1770
tests/nemo_text_processing/es_en/test_ordinal.py,sha256=oWKrVFR-5TOyAVUdMmxKFo5CdwqglkD-8lJclzG5OuU,1776
tests/nemo_text_processing/es_en/test_telephone.py,sha256=juopgkKFXUW0lqBK4ccm-kv0g77LJNlY4rW_5axzeCc,1782
tests/nemo_text_processing/es_en/test_time.py,sha256=03-2BF8xuG4DTHV-JUo4L3buOODZnaKc1l_EkfQsOrs,1766
tests/nemo_text_processing/es_en/test_whitelist.py,sha256=QaMShFNusIyIAlZpjbZtB4qVf-JNs1B5K_CpCucF1kw,1299
tests/nemo_text_processing/es_en/test_word.py,sha256=49aRcJfd9ZxTR50wvJUXDv8nxxYM7NI9wRAJeQh6qes,1766
tests/nemo_text_processing/fr/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/nemo_text_processing/fr/test_cardinal.py,sha256=a7o97s8ejcKylV_GV3tZQQTuL8HjyEMLRYKA30l-lzc,1768
tests/nemo_text_processing/fr/test_date.py,sha256=TPN9wR21LhvmTNpD7rptqm7Z6fBFzxyORqaD2ETWmNA,1755
tests/nemo_text_processing/fr/test_decimal.py,sha256=T11sFe68OO6ErcfVRNAXCWVcko9FHUig3uXgko52S-0,1764
tests/nemo_text_processing/fr/test_electronic.py,sha256=0CO8sK9ruQWtzc6megbe7Y1QB2W2rEXGowXw0IoX25o,1286
tests/nemo_text_processing/fr/test_fraction.py,sha256=fbnD1t_MlyS6JPQxPd7RYPAzZ4ahXbYA-9whlarXNv4,1768
tests/nemo_text_processing/fr/test_measure.py,sha256=44BNZSex5GYRfGIIw6PIOd-qc00HrKJKnOIPcP2t1Tk,1281
tests/nemo_text_processing/fr/test_money.py,sha256=Y5utlmcqyN0rkJZlQGazm9Icn6qc0BeGyZjSjW1NlMA,1277
tests/nemo_text_processing/fr/test_ordinal.py,sha256=JxRSTj7r527iBPMeI0Z8VrqEQg5dvfvyYCxMIZhXdN8,1765
tests/nemo_text_processing/fr/test_telephone.py,sha256=qmsijTKAoroataW02SoWj0nPCeiWOe2Ep-F9yXz_yew,1285
tests/nemo_text_processing/fr/test_time.py,sha256=jNXlu69fqsY5j61msIfZy0p2WyvQ3Zahcr95J42WDV0,1274
tests/nemo_text_processing/fr/test_whitelist.py,sha256=RH8nizqDSYir7f0V9mtSIQRc7T6wvw-uh7KOpWsBSuU,1771
tests/nemo_text_processing/fr/test_word.py,sha256=pjNVBcQuoMwGinhc9vpw6ZR5SQUhIdh-K_IrfkTjtV8,1756
tests/nemo_text_processing/he/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/nemo_text_processing/he/test_cardinal.py,sha256=UCYrM1JhM3SNI2_lth58YgsaMYuL2w5lbmVCaVHwiz8,1275
tests/nemo_text_processing/he/test_date.py,sha256=yDLrUrYXyl0gTmJoreufEJ0BxbcaP96hHJzIq1ck95I,1267
tests/nemo_text_processing/he/test_decimal.py,sha256=dy5OQ-zPHWLGM6ptgzaTkfJmiJUktTMSBISdamgNSXo,1273
tests/nemo_text_processing/he/test_full_sentences.py,sha256=Wwd8vcp51IvMCVe6SS-4nkBen9vxJKzEiskUM18I5No,1280
tests/nemo_text_processing/he/test_measure.py,sha256=_TOPkU_pBItVH0mgHf64lFuOZhAk1-tw8oAr-6u3OL0,1273
tests/nemo_text_processing/he/test_time.py,sha256=vq8ahTi0j_x8e1aTRlWvtwRZMxo2nDsH-zNRIezzHuw,1267
tests/nemo_text_processing/he/test_whitelist.py,sha256=meoRpIm2_G2vIJjH_nzJUgxOGMDbM5CPetafIkd6iJc,1276
tests/nemo_text_processing/hi/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
tests/nemo_text_processing/hi/test_address.py,sha256=9T5QK1uRdEHwCzFalkxyQoBM7piYbmEDlRYvnfhpG_0,1824
tests/nemo_text_processing/hi/test_cardinal.py,sha256=68EV1C6_PhxJnKEO72y7pkqV_48zfGsCNLAaOfazGdI,1803
tests/nemo_text_processing/hi/test_date.py,sha256=ncSVpN9QHXaFs_4oSApX89ex3jHGpzJLNsQov_Na_0Y,1807
tests/nemo_text_processing/hi/test_decimal.py,sha256=OmBISBMMmWmWnl39nn67LCb1_YLT0oCnCP7eKehxEZ8,1816
tests/nemo_text_processing/hi/test_electronic.py,sha256=GhWiwqqevHGNhdNlG79rZKkZ_x4IixqNuAIpAPHXkxM,1287
tests/nemo_text_processing/hi/test_fraction.py,sha256=vdr4BzwtlWiTSK1AhA_fZRVrXGJlLcQa1WSD9v2cv3U,1819
tests/nemo_text_processing/hi/test_measure.py,sha256=vGNGqydxaOSdXDV7knhN3z6QSo7s-VCW9hUTrUB_MeE,1816
tests/nemo_text_processing/hi/test_money.py,sha256=4dFUH07248TZYTigM27NEU7bsqf6q22vGczuvmqbnaE,1810
tests/nemo_text_processing/hi/test_ordinal.py,sha256=UPv26E5YqpTGREGv9hseI7WaSbkWvkI4Vt6y_TWMrFc,1801
tests/nemo_text_processing/hi/test_telephone.py,sha256=pvs_o2OvvXMivdY8un4Wp6ImUKrnHaLrM71d32tcYEM,1287
tests/nemo_text_processing/hi/test_time.py,sha256=knQWZWBLDU6txUv-PBwjTccF6JHC_KR4KyvWB1snj88,1807
tests/nemo_text_processing/hi/test_whitelist.py,sha256=Edumf6dt1jWkyDZ3z2Xsa6Tcyp7PkxQ9QjUqTqCdjOw,1806
tests/nemo_text_processing/hi/test_word.py,sha256=VEXkyqyR_Qug7kNOez_t0l0E1yoVLsc7MlEOMeDp6Yg,1799
tests/nemo_text_processing/hi_en/__init__.py,sha256=RCvBQmxjZK7VDZ-6czxTojAivJJVW3H4pZe3ufCxNDw,610
tests/nemo_text_processing/hi_en/test_address.py,sha256=fLqUxWYSM9d43R9130fiW4uzRXOTlq3Rb0uqAcxndEQ,1651
tests/nemo_text_processing/hi_en/test_cardinal.py,sha256=yE1f9FDYIYHMOJcLPR1l_2aT_s4jcATVfYb0Cz6223c,2109
tests/nemo_text_processing/hi_en/test_date.py,sha256=9biVPHQ7DycUP6t6rkwcZfG8C-iWjD5rs_TRyAopDm8,2096
tests/nemo_text_processing/hi_en/test_decimal.py,sha256=CSWcL4NlGd7Vfrd8u-D8be4ekhMoSKzLUQ7em96-oIU,2105
tests/nemo_text_processing/hi_en/test_electronic.py,sha256=mgQsThe59nEpV4le8ayctPGJSKFgXdtXI-UlOfqIml4,1771
tests/nemo_text_processing/hi_en/test_fraction.py,sha256=7ftftMI3yWK1K13v7DC_BwX8TGgcbc77All98Us-nT8,1622
tests/nemo_text_processing/hi_en/test_measure.py,sha256=ZmvrmzFq8HBihT0uW_M3KqucOpUfhP1DHmypYdkWr3E,2105
tests/nemo_text_processing/hi_en/test_money.py,sha256=gYku56e5RoxiGl5T2nUspi3vKqYxTqHRER1EUjCGgzQ,2097
tests/nemo_text_processing/hi_en/test_ordinal.py,sha256=b9gzDSeLOAi4ldqG2wFTIUDcqxCwb2q5dKuyrawgfYM,2105
tests/nemo_text_processing/hi_en/test_telephone.py,sha256=CsyR_Oh_fu_MsGlmLYzNtUjzWcmrarwDxFjza4TrbH8,1768
tests/nemo_text_processing/hi_en/test_time.py,sha256=N9hhxyOTTDl47PAmjTEdlM_j0HF7GWrrMXxXZuMbQc0,2093
tests/nemo_text_processing/hi_en/test_whitelist.py,sha256=wc7vq25b6qw9hAxLBJl4VJ00SZ-S67M6umWRd560Swk,2113
tests/nemo_text_processing/hi_en/test_word.py,sha256=gzjVFHOwFtrwAIURDbYoipzCPL7WUqvc0maN5wu3z04,2093
tests/nemo_text_processing/hu/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
tests/nemo_text_processing/hu/test_cardinal.py,sha256=KXsUnsl3kycXiHguB16ZNw_K5tCKN2W0xGnE9sfKSeI,1244
tests/nemo_text_processing/hu/test_date.py,sha256=_oKvN15Qkg7W8c-ZhXtnzJ3fgpSEGOWIvoyDMVKQWPw,1236
tests/nemo_text_processing/hu/test_decimal.py,sha256=_6z-EVPmBtFImOGCL6T0mN__ieotLrX3jZg4-8UgL9U,1242
tests/nemo_text_processing/hu/test_electronic.py,sha256=Ej4IWDKUycN_fnMcFGJ-aPoJxlB25AJZl9u7yzqvU70,1248
tests/nemo_text_processing/hu/test_fraction.py,sha256=uxiyKiiKrharcxS0IkF7DHPE_c1NXaaDDjy2VGpOQG0,1245
tests/nemo_text_processing/hu/test_measure.py,sha256=uw3_7tAD554TwZ39nZ95wDLUGeNxnx2GSDNyV_cXxVE,1243
tests/nemo_text_processing/hu/test_money.py,sha256=YIVEGsB2fm_ohLNbbyAmF3e7lXDw8xhdm3ptyY0w5GQ,1239
tests/nemo_text_processing/hu/test_ordinal.py,sha256=b-FRCvbVWemY8m4ZD08mueY9X3mzhc1ZIGDVQASNiPg,1243
tests/nemo_text_processing/hu/test_telephone.py,sha256=-cdMJjmeB08_YuVQb5ySfpDp3H4GhM-5B-J491ez00s,1247
tests/nemo_text_processing/hu/test_time.py,sha256=E81dh6rpUuYiMW-Ff7kvpmf9UmNwzwWI7w8wFUHuGAk,1236
tests/nemo_text_processing/hu/test_whitelist.py,sha256=B9BMM6H4pjaf66A0AC___WzwuM1bZdikkbvFpajtH1w,1246
tests/nemo_text_processing/hu/test_word.py,sha256=u3Ofazdboz2QRM6IkqiQwive15ziBU2UF3HHMnivE5U,1236
tests/nemo_text_processing/hu/data_text_normalization/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
tests/nemo_text_processing/hy/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
tests/nemo_text_processing/hy/test_cardinal.py,sha256=1cVcCwcfis5jOwdf_RaPqH-kOuyJsylEz7bB_YBSHTA,1772
tests/nemo_text_processing/hy/test_decimal.py,sha256=-2zb3mW3znxh-MZPtJyKKDqqlunQiiLru896vrki2Ko,1771
tests/nemo_text_processing/hy/test_fraction.py,sha256=H2Lrzo0BZbAMoAcEw7jNr5809CEJOMlBK6S68vDBgmE,1771
tests/nemo_text_processing/hy/test_measure.py,sha256=3VCQaPfgyQFqieH4B_j5TIYSH2aKlGrxbfAwSVEMenM,1771
tests/nemo_text_processing/hy/test_money.py,sha256=K0DVZkQ6-5hMbO-5joTcSFiDq6tByS4d_LCBdTZ-Jsk,1765
tests/nemo_text_processing/hy/test_ordinal.py,sha256=6WywXPCh-yMNAbwlV0P-a7Zy0cXfaQbFqL6vA9Axb9w,1769
tests/nemo_text_processing/hy/test_time.py,sha256=oHfjhD4ogTXyCOJaRNlUoJqJCo_lx94GSoPklMqVrCY,1762
tests/nemo_text_processing/hy/test_whitelist.py,sha256=NCJUkq_DbVsPwRsPqYoCS_auIABHGx85tMo5qhi-ONY,1772
tests/nemo_text_processing/hy/test_word.py,sha256=4oMLTLGW-wclGEd38VdYHKVcnJG-N5u3V4BYGn5LNbI,1762
tests/nemo_text_processing/it/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
tests/nemo_text_processing/it/test_cardinal.py,sha256=N9TfZDIpeEKSMNOYAnOuHMod4l_tuQin-UQL0V1ubMk,1257
tests/nemo_text_processing/it/test_decimal.py,sha256=ASWYlL8zfkPMq7V95rRd5nNKPUs-TssZK6V00DdpBX4,1256
tests/nemo_text_processing/it/test_electronic.py,sha256=2roCrk0y2jv-vKCwCa9sxj0XxnNw4mzIh9y-iZc5MX8,1284
tests/nemo_text_processing/it/test_measure.py,sha256=VMsfm8zIO1Qamfcd9SVMrrC9DWcPK0s-ojwMrWWL1ck,1281
tests/nemo_text_processing/it/test_money.py,sha256=_7fpsYFNbgTuFWB2ykQXjNhS4yXVDO-a2Pd7NVeTDlk,1254
tests/nemo_text_processing/it/test_time.py,sha256=M2p8YS_QiX1i2LcYV-M_faplQ3zUnI8WzRqjcEYxTuM,1278
tests/nemo_text_processing/it/test_whitelist.py,sha256=klv4hepqRfs-1x5X1ajSKGAc7L5wlqTzpyrnOJRjLiU,1258
tests/nemo_text_processing/ja/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
tests/nemo_text_processing/ja/test_cardinal.py,sha256=0sNHfoL5cTCbgqdyvighAW5BSR1MJ0HNL_eBERtajr0,1759
tests/nemo_text_processing/ja/test_date.py,sha256=netxW10PXc4NHj6XQYM-3qF_d0uhxmjHQF03tyaPaeM,1800
tests/nemo_text_processing/ja/test_decimal.py,sha256=DxGXIY7nPb4F7_I6Yy19heSDYx7k9aCj8c1tGSQ8Ub8,1749
tests/nemo_text_processing/ja/test_fraction.py,sha256=CYy5CJrFQjRUDbvtZiTM4ocSP7A-EaIvaFUECZ2AkBM,1812
tests/nemo_text_processing/ja/test_ordinal.py,sha256=b-WmWNVkvWCjRnQv7T2GpQKvD2jWhr0ZlbsEkuYyfyI,1749
tests/nemo_text_processing/ja/test_time.py,sha256=Kq2TcXEeIjvlrg1YgRG_SsHgHsaMO-NFYkhu-aJ14o4,1804
tests/nemo_text_processing/ko/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/nemo_text_processing/ko/test_cardinal.py,sha256=UuJN2504VczwO9W9NeRavHpP_HFgvMvh8GrNp9Q7ukI,1759
tests/nemo_text_processing/ko/test_date.py,sha256=ZDDGrg6Z56uZqac7uOYINZcroE90JZPIxxEsRfA6a4E,1741
tests/nemo_text_processing/ko/test_decimal.py,sha256=_4g2ao5gWQbVeFyWIMF_4_jmO5Hb7iAE-kPZqrWCcKQ,1753
tests/nemo_text_processing/ko/test_electronic.py,sha256=fs1V6kNTlmPkxKez-xpWw9t68m-0A7zXsrhnOqaj3tQ,1262
tests/nemo_text_processing/ko/test_fraction.py,sha256=iCgRz-doOzarRUC-k8RVVrMevK_7ezP6Gr2Mhp7NLvE,1759
tests/nemo_text_processing/ko/test_measure.py,sha256=hx1tvt24eLv11Cmkwusu9VOzmxAxjkkUMAAF0at4uZ0,1753
tests/nemo_text_processing/ko/test_money.py,sha256=BQ85ufYzHTkeHEgYCaTuif_ycqthJynBvZ9-qXK3ito,1745
tests/nemo_text_processing/ko/test_ordinal.py,sha256=-NawRWZFUF2e8PHtWTR3zq_FS1tIeSLX5Wc5g3w9664,1809
tests/nemo_text_processing/ko/test_telephone.py,sha256=drxh32X45jn5FZH1X9eV0T7_gdBgl-4Q1PZ9Tv6mDgg,1756
tests/nemo_text_processing/ko/test_time.py,sha256=NjCDZarE5ZZ_9IzDk0aCVlTl9Dq4Q0WiUNYSZvEWYxM,1741
tests/nemo_text_processing/mr/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
tests/nemo_text_processing/mr/test_cardinal.py,sha256=6qERU7wiX80Xh56q796LYdEHg0wuoERgn1c1S4W6myY,1351
tests/nemo_text_processing/mr/test_date.py,sha256=-g7c35cfRJzF8GMv7VacYjaw5vL4W1-FjUUUQ5Ws658,1340
tests/nemo_text_processing/mr/test_decimal.py,sha256=fBLTOhOgOVWklDp0uvyCQRK3PKwpEO8UsCV0XKScA68,1273
tests/nemo_text_processing/mr/test_time.py,sha256=-G6UYFUMSLHRW7Tk7qpoV5NN4Sy0jSwjgSzdLUfNeHc,1267
tests/nemo_text_processing/mr/test_word.py,sha256=y1n6vBt0oSF3I_GaxYDW2sglrFlS-vVUwK-vvmmOAaA,1268
tests/nemo_text_processing/pt/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
tests/nemo_text_processing/pt/test_cardinal.py,sha256=MsAPhEjWogGWWiVzMSpmcJvAyOBXfi9elHw5C-9rckY,1768
tests/nemo_text_processing/pt/test_date.py,sha256=Yrr3Jmh_eVAkGU1pnljb-nW7y3pLsy3WNCWks4nT8g8,1755
tests/nemo_text_processing/pt/test_decimal.py,sha256=49JrYcXI88CHT2Tlm9MSwWf9iJNrqnp9zPov_fcJtJE,1764
tests/nemo_text_processing/pt/test_electronic.py,sha256=TR0WRpvZEiCfjonxVj7sAzJwYxFB9Ux8_5TVkF_FjLA,1773
tests/nemo_text_processing/pt/test_fraction.py,sha256=g0R2GMvXYYts9qvfbgEwtMwvDHa58xMkvZd2A7hL6qI,1313
tests/nemo_text_processing/pt/test_measure.py,sha256=LKJLJ3AfiR021Waoz8lEE16eYRUTsE_pN0FnVUpPVWo,1858
tests/nemo_text_processing/pt/test_money.py,sha256=U5ow63CIW0qYNIZ2uHZNKk4mm5aPU-jebwZfY13jEgU,1852
tests/nemo_text_processing/pt/test_ordinal.py,sha256=B8X7Bf90XirGREaxSZ7Gn10v0MkZCxW-_nPjRWpv4fI,1764
tests/nemo_text_processing/pt/test_telephone.py,sha256=pFP1g6G3wHygh9K_WqEmLR45zQYp3nmrBxB_XI3NQBo,1771
tests/nemo_text_processing/pt/test_time.py,sha256=Ofn_jtLqbTC55gVbjxz0uP_GgRzDWbDGXaj9T4FJoY8,1754
tests/nemo_text_processing/pt/test_whitelist.py,sha256=Kxxuy-xRiVzJCSOzd0xWSIDZ8CcKkie6HXfy-7dGb9k,1285
tests/nemo_text_processing/pt/test_word.py,sha256=MLQtBUisw_LqpYo9Glv_dETsZQB1S0LbjKDmSsb1efk,1275
tests/nemo_text_processing/ru/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/nemo_text_processing/ru/test_ru_inverse_normalization.py,sha256=6KO-pDVmhlGz8ncSbEsHNLH3MeOraf1VM7lOvKw-ZFI,6340
tests/nemo_text_processing/ru/test_ru_normalization.py,sha256=8rprspCtzly0pIgm9McAQK8pyhz_1hB8LjCVIaxGW2w,6527
tests/nemo_text_processing/ru/data_text_normalization/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/nemo_text_processing/rw/__init__.py,sha256=ksqf1O0jAmwYqgDzmTXqxlb6_si4NCxnfrMvzlYke6o,691
tests/nemo_text_processing/rw/test_cardinal.py,sha256=RhrFbMkNHVfPwkm8wELMKohmzRkp0SXqSnupGcUU1hs,1428
tests/nemo_text_processing/rw/test_time.py,sha256=ziEJjIzTqWD8-dmzglA47vLR0pw_ePcuq1IXlcFdWhU,1317
tests/nemo_text_processing/rw/test_whitelist.py,sha256=UQ3y2KcXhY-znsDSbLBPuX0yBD_75QoltBlCqHc6yyw,1328
tests/nemo_text_processing/rw/test_word.py,sha256=T4cB_f9GeSoAD9GKVnoq_dQn4f_F_hYLEadh2aBWkKY,1318
tests/nemo_text_processing/sv/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
tests/nemo_text_processing/sv/test_cardinal.py,sha256=aq27y2dgLJ9_b3-tkhqpEcfuLQE8b66gumU3tybbt3U,2611
tests/nemo_text_processing/sv/test_date.py,sha256=FDr7hLmVtoLdGYDwSTp7RF9xUwVsHhYGgowEdMiE0ww,2600
tests/nemo_text_processing/sv/test_decimal.py,sha256=fohFlVHspt8u1uOXPdpkn1xZCa1canaOLLsuB2NtbQ4,2608
tests/nemo_text_processing/sv/test_electronic.py,sha256=-CwatuM6UCv_0bEzmdTzpqvnlDA8E4VY1Dl9NnXxW5A,2617
tests/nemo_text_processing/sv/test_fraction.py,sha256=mtCH4sagepRzPlfpLdmmEUC5mxEbHJpOGJg4Nk-9kXI,2612
tests/nemo_text_processing/sv/test_measure.py,sha256=1RUfChKGon_Qwg0NYfFbgXBCGZ4lxMCFg-LfIzpuzXs,1808
tests/nemo_text_processing/sv/test_money.py,sha256=OgAKiNLTjz8X_WoAKln2k34zJ2Z1x0g8SBpqQgTF-SM,1804
tests/nemo_text_processing/sv/test_normalization_with_audio.py,sha256=2DsEs-ytV4ZTayLxlaKQTwsN-QE7B1xfZkZT7jjRZCI,1603
tests/nemo_text_processing/sv/test_ordinal.py,sha256=hV6yuYC0cOA8KYIfmRFnHUq1xq7X8Bv1eXqiKUdd0eY,2610
tests/nemo_text_processing/sv/test_telephone.py,sha256=GPStj9BtqZ2BPJKDlZnkUwnUiIiurLoRIhnVwzUd76I,2615
tests/nemo_text_processing/sv/test_time.py,sha256=Pi66BDhA_McDjiDbMGhaecb9K1wx15lW-4l--NXp7gU,2600
tests/nemo_text_processing/sv/test_whitelist.py,sha256=7dFBKfqy4IJFwAlmmjcXAST5YWIHTSYK0Ze4OvMIjIQ,2614
tests/nemo_text_processing/sv/test_word.py,sha256=j4zJD63649MVVUoIudHtFUaU-dqhup9cfYcuopkoLi0,2648
tests/nemo_text_processing/sv/data_inverse_text_normalization/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
tests/nemo_text_processing/sv/data_text_normalization/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
tests/nemo_text_processing/vi/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/nemo_text_processing/vi/test_cardinal.py,sha256=i694igWlvd4SfXm2jLOERCMRZa_eI6JHmLz1gevW3ao,2478
tests/nemo_text_processing/vi/test_date.py,sha256=8BmU-Px3uoGRgmc2YNo2t5glgme-41Cprh3i0r9Q9Ac,2466
tests/nemo_text_processing/vi/test_decimal.py,sha256=ga9fjcSO4BFX_-rHWtBr7ahVpvFpSjNKrUSz2AWKrIo,2475
tests/nemo_text_processing/vi/test_electronic.py,sha256=JosDU5oob6PdDQFPNMwxINGB1kUI8hqqjc8AJZRwpUs,1603
tests/nemo_text_processing/vi/test_fraction.py,sha256=q7xSc-6SIaHc4cnyFOSIMNPQgQOnD27Wc6kOz81CjSQ,2478
tests/nemo_text_processing/vi/test_measure.py,sha256=EaBaglM0GzVCPYleYTSmZ7kkZq4EYlG-QGtm8iGJtMU,2330
tests/nemo_text_processing/vi/test_money.py,sha256=FTa0puZu7o6O13yhMRBXk1C4uylCLJneIfTAUi_PDaw,2540
tests/nemo_text_processing/vi/test_ordinal.py,sha256=TVo9_iXJfPu0P2Y5KR9qrYe51fF1qlHqlX6qko3q3xg,2475
tests/nemo_text_processing/vi/test_range.py,sha256=OM14H3NRya__Xe_afHqM6vzgtVCOTN9mzxHtXZFlFqs,1255
tests/nemo_text_processing/vi/test_roman.py,sha256=fNxbHQbKE7Yr5m4mJoXE88IPLTlri9T7zLejdeJFojY,1942
tests/nemo_text_processing/vi/test_telephone.py,sha256=23r3dqQQ1IieQmKOB8tECnGIDOP7zj-a0NebIcwyjqg,1602
tests/nemo_text_processing/vi/test_time.py,sha256=uAu_c1rbxXnZMWV-Rj4OEZR8-GyqLQw7tKj7CFmkgv8,2466
tests/nemo_text_processing/vi/test_whitelist.py,sha256=0Z9M4KdiFpSS49dKCNECDF9OnNd27iY9u5-pP2Zho4k,1602
tests/nemo_text_processing/vi/test_word.py,sha256=XvD7flT_F7wiSPhiB3t61bY5HkKZyYRs6tf2VGClFxI,1592
tests/nemo_text_processing/zh/__init__.py,sha256=Zu951SPeHUlK3nmFO6qeinAS9adBRbQQNWQB93a6f7Y,623
tests/nemo_text_processing/zh/test_cardinal.py,sha256=1gZ_1jis3cwdnpn_LFSzyU5e5_jLK2dZVmgxHpqDCQc,1748
tests/nemo_text_processing/zh/test_date.py,sha256=4ktuViqUAXsGVsx2NM3r4lkRH5VLNEuVsPNb8hE25iE,1794
tests/nemo_text_processing/zh/test_decimal.py,sha256=1PPMYXvlE1KvX4QIHoz3danwHEvtYxjqKweqKhuPmwM,1743
tests/nemo_text_processing/zh/test_fraction.py,sha256=eIa_neMbK6T0IZOViqlhZPbSFEvBFyAO8jPt5ezMgio,1810
tests/nemo_text_processing/zh/test_measure.py,sha256=jddKnqnj0aNZ-emRqT2j_csWTGU3MzVzAMXyVQy3jj0,1268
tests/nemo_text_processing/zh/test_money.py,sha256=9zifBGfxHfR7R8gfCiONsXwUPmd6UeBe60EkJrJjDDA,1757
tests/nemo_text_processing/zh/test_ordinal.py,sha256=oeY8j-GSC2LSSmUgPs-8S2-Qj2J8JBubCgkB6bndLd4,1746
tests/nemo_text_processing/zh/test_time.py,sha256=xbiWkeSxl8Sgy1H2eoep-c8YE4GBQrROaeOBgYKNgBM,1794
tests/nemo_text_processing/zh/test_whitelist.py,sha256=M0wbC1RP__DOw_u1CtbJvDiAsS7_b_rPB9BOhEeXNHg,1758
tests/nemo_text_processing/zh/test_word.py,sha256=PxNt8-4YOGIfhtcPQJey_bJL6afWusRZXBrwFdvT9Ok,1783
nemo_text_processing-1.2.0.dist-info/METADATA,sha256=wNHOnSRC8nUpTCmdNTAJJsKDW12zZwyWgIHBiuPCPDc,7548
nemo_text_processing-1.2.0.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
nemo_text_processing-1.2.0.dist-info/top_level.txt,sha256=PtXEECbaXUfReQva3hC9ENYSE2jBTPu00W-n59OtEIs,27
nemo_text_processing-1.2.0.dist-info/RECORD,,
