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Learning pressures reduce morphological complexity: Linking corpus, computational and experimental evidence.

, и . CL4LC@COLING 2016, стр. 222-232. The COLING 2016 Organizing Committee, (2016)

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A Comparison Between Morphological Complexity Measures: Typological Data vs. Language Corpora., , , и . CL4LC@COLING 2016, стр. 142-153. The COLING 2016 Organizing Committee, (2016)Learning pressures reduce morphological complexity: Linking corpus, computational and experimental evidence., и . CL4LC@COLING 2016, стр. 222-232. The COLING 2016 Organizing Committee, (2016)Using Universal Dependencies in cross-linguistic complexity research., , , , , , , , , и 1 other автор(ы). UDW@EMNLP, стр. 8-17. Association for Computational Linguistics, (2018)Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora., , , , и . LREC, European Language Resources Association (ELRA), (2016)From characters to words: the turning point of BPE merges., , , и . EACL, стр. 3454-3468. Association for Computational Linguistics, (2021)Beyond Rule versus Rote? Processing of Distinctive Dative and Genitive Case Markers in German.. CogSci, cognitivesciencesociety.org, (2013)The Zipfian Challenge: Learning the statistical fingerprint of natural languages.. CoNLL, стр. 27-37. Association for Computational Linguistics, (2023)A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets., , , , и . CoRR, (2024)TeDDi Sample: Text Data Diversity Sample for Language Comparison and Multilingual NLP., , , , и . LREC, стр. 1150-1158. European Language Resources Association, (2022)Languages Through the Looking Glass of BPE Compression., , и . Comput. Linguistics, 49 (4): 943-1001 (2023)