Metadata-Version: 2.4
Name: lexiground
Version: 0.1.0
Summary: Lexical iconicity and sensorimotor norm lookup and estimation using SBERT embeddings.
Author: Shrisha Sathishkumar
License: MIT
Project-URL: Homepage, https://github.com/shrishasat/lexiground
Project-URL: Repository, https://github.com/shrishasat/lexiground
Project-URL: Issues, https://github.com/shrishasat/lexiground/issues
Keywords: lexical semantics,sensorimotor norms,iconicity,word embeddings,SBERT,psycholinguistics,computational neuroscience
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: joblib
Requires-Dist: platformdirs>=4.0
Provides-Extra: sbert
Requires-Dist: sentence-transformers; extra == "sbert"
Provides-Extra: glove
Requires-Dist: gensim; extra == "glove"
Provides-Extra: fasttext
Requires-Dist: fasttext; extra == "fasttext"
Provides-Extra: all
Requires-Dist: sentence-transformers; extra == "all"
Requires-Dist: gensim; extra == "all"
Requires-Dist: fasttext; extra == "all"
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: ruff; extra == "dev"

# lexiground
