=== English - NLP article (en) ===
   1. language                        score=2.554  count=12
   2. human language                  score=2.026  count=8
   3. nlp                             score=1.654  count=7
   4. natural language processing     score=1.548  count=4
   5. linguistics computer science    score=1.441  count=4
   6. artificial intelligence concerned  score=1.257  count=4
   7. revolutionized nlp applications  score=1.234  count=4
   8. human                           score=1.233  count=6

=== Spanish - Climate change (es) ===
   1. cambio climatico                score=2.739  count=11
   2. cambio                          score=2.648  count=12
   3. climatico                       score=1.985  count=9
   4. cambio largo plazo              score=1.578  count=4
   5. patrones climaticos globales    score=1.415  count=4
   6. mar fenomenos meteorologicos    score=1.378  count=4
   7. cambio climatico proteger       score=1.354  count=4
   8. calentamiento global provocara  score=1.309  count=4

=== French - AI (fr) ===
   1. ia                              score=2.840  count=10
   2. intelligence                    score=1.992  count=6
   3. intelligence artificielle ia    score=1.742  count=4
   4. automatique                     score=1.609  count=6
   5. simuler intelligence humaine    score=1.493  count=4
   6. langage modernes utilisent      score=1.234  count=4
   7. particulier apprentissage profond  score=1.226  count=4
   8. ia comprennent                  score=0.963  count=4

=== German - Renewable energy (de) ===
   1. energien                        score=2.497  count=9
   2. erneuerbarer energien           score=1.709  count=6
   3. ausbau erneuerbarer energien    score=1.584  count=4
   4. erneuerbarer                    score=1.584  count=6
   5. anteil erneuerbarer energien    score=1.508  count=4
   6. gehören sonnenenergie windenergie  score=1.487  count=4
   7. fossilen energietraegern        score=1.069  count=4
   8. energiequellen                  score=1.063  count=4

=== Chinese - Machine learning (zh) ===
   1. 机                             score=2.607  count=15
   2. 习                             score=1.897  count=8
   3. 神                             score=1.872  count=9
   4. 学                             score=1.813  count=9
   5. 器                             score=1.747  count=12
   6. 网                             score=1.688  count=9
   7. 用                             score=1.657  count=6
   8. 语                             score=1.423  count=6

=== Japanese - AI (ja) ===
   1. ー                             score=2.560  count=12
   2. す                             score=2.340  count=12
   3. ai                              score=2.210  count=11
   4. 知                             score=1.748  count=6
   5. 人                             score=1.719  count=6
   6. 習                             score=1.562  count=7
   7. タ                             score=1.536  count=9
   8. て                             score=1.529  count=9

=== Russian - Space (ru) ===
   1. космос                    score=2.589  count=6
   2. году                        score=2.469  count=6
   3. космические исследования привели  score=2.110  count=4
   4. космос совершил юрий  score=1.875  count=4
   5. далёкий космос международная  score=1.851  count=4
   6. 1957 году стал          score=1.833  count=4
   7. 1961 году современные  score=1.759  count=4
   8. космические          score=1.236  count=3

=== Arabic - AI (ar) ===
   1. الذكاء                    score=2.566  count=9
   2. الذكاء الاصطناعي  score=2.285  count=7
   3. علوم الحاسوب يهتم  score=1.718  count=4
   4. الاصطناعي              score=1.714  count=6
   5. محاكاة الذكاء البشري  score=1.658  count=4
   6. الشبكات العصبية ذات  score=1.487  count=4
   7. الصور والقيادة الذاتية  score=1.438  count=4
   8. معالجة اللغة الطبيعية  score=1.370  count=4

=== Indonesian - Renewable energy (id) ===
   1. energi                          score=2.664  count=24
   2. energi terbarukan               score=1.775  count=8
   3. terbarukan                      score=1.554  count=9
   4. habis contoh energi             score=1.354  count=4
   5. energi matahari                 score=1.171  count=7
   6. mengurangi emisi gas            score=1.141  count=4
   7. pengembangan energi terbarukan  score=1.130  count=4
   8. mengatasi perubahan iklim       score=1.083  count=4

