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Verifying Heaps' law using Google Books Ngram data

, , and . (2016)cite arxiv:1612.09213Comment: 8 pages, 6 figures.

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Recognition of Named Entities in the Russian Subcorpus Google Books Ngram., , and . MICAI (2), volume 12469 of Lecture Notes in Computer Science, page 17-28. Springer, (2020)Deviations in the Zipf and Heaps laws in natural languages, , and . Journal of Physics: Conference Series, 490 (1): 012009 (2014)The Behaviour of Russian Competing Verbs: a Computer-Assisted Approach., , and . CMCL, volume 2780 of CEUR Workshop Proceedings, page 145-154. CEUR-WS.org, (2020)Estimation of Imageability Ratings of English Words Using Neural Networks., , and . MICAI (2), volume 13068 of Lecture Notes in Computer Science, page 59-69. Springer, (2021)Probability Analysis of the Vocabulary Size Dynamics Using Google Books Ngram Corpus., , and . AIST (Supplement), volume 2268 of CEUR Workshop Proceedings, page 202-207. CEUR-WS.org, (2018)Large Sentiment Dictionary of Russian Words., , , , and . MICAI (2), volume 14392 of Lecture Notes in Computer Science, page 68-82. Springer, (2023)Neural Network Recognition of Russian Noun and Adjective Cases in the Google Books Ngram Corpus., , , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 626-637. Springer, (2021)Variations of Social Psychology of Russian Society in Last 100 Years., , and . SmartCity, page 519-523. IEEE Computer Society, (2015)Automatic Defect Recognition in Corrosion Logging Using Magnetic Imaging Defectoscopy Data., , and . AIST (Supplement), volume 1197 of CEUR Workshop Proceedings, page 86-91. CEUR-WS.org, (2014)Verifying Heaps' law using Google Books Ngram data, , and . (2016)cite arxiv:1612.09213Comment: 8 pages, 6 figures.