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Using Universal Dependencies in cross-linguistic complexity research.

, , , , , , , , , , and . UDW@EMNLP, page 8-17. Association for Computational Linguistics, (2018)

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Automatic cognate identification with gap-weighted string subsequences.. HLT-NAACL, page 1227-1231. The Association for Computational Linguistics, (2015)Tübingen-Oslo system at SIGMORPHON shared task on morphological inflection. A multi-tasking multilingual sequence to sequence model., and . CoNLL Shared Task (1), page 112-115. Association for Computational Linguistics, (2018)Dravidian language family through Universal Dependencies lens., and . CoRR, (2024)Siamese convolutional networks based on phonetic features for cognate identification.. CoRR, (2016)N-Gram Approaches to the Historical Dynamics of Basic Vocabulary., and . J. Quant. Linguistics, 21 (1): 50-64 (2014)Using Universal Dependencies in cross-linguistic complexity research., , , , , , , , , and 1 other author(s). UDW@EMNLP, page 8-17. Association for Computational Linguistics, (2018)Experiments with Universal CEFR Classification., and . BEA@NAACL-HLT, page 147-153. Association for Computational Linguistics, (2018)Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies., and . COLING, page 1578-1590. Association for Computational Linguistics, (2018)Discriminating Similar Languages with Linear SVMs and Neural Networks., and . VarDial@COLING, page 15-24. The COLING 2016 Organizing Committee, (2016)Linguistic landscaping of South Asia using digital language resources: Genetic vs. areal linguistics., , , and . LREC, page 3137-3144. European Language Resources Association (ELRA), (2014)