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