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Correction to: Resources for Turkish natural language processing: A critical survey., , и . Lang. Resour. Evaluation, 57 (1): 489 (марта 2023)Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction., и . SemEval@NAACL-HLT, стр. 34-38. Association for Computational Linguistics, (2018)Computational analysis of Gondi dialects., , и . VarDial, стр. 26-35. Association for Computational Linguistics, (2017)CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing., , , , , , , и . LREC, European Language Resources Association (ELRA), (2018)Team ReadMe at CMCL 2021 Shared Task: Predicting Human Reading Patterns by Traditional Oculomotor Control Models and Machine Learning., , , и . CMLS, стр. 134-140. Association for Computational Linguistics, (2021)Shedding Light on Dickens' Style Through Representativeness & Distinctiveness., , и . DH, Alliance of Digital Humanities Organizations (ADHO), (2014)Two languages, one treebank: building a Turkish-German code-switching treebank and its challenges., и . Lang. Resour. Evaluation, 57 (2): 545-579 (2023)Dialect Identification under Domain Shift: Experiments with Discriminating Romanian and Moldavian.. VarDial@COLING, стр. 186-192. International Committee on Computational Linguistics (ICCL), (2020)Tübingen at PoliticIT: Exploring SVMs, Pretrained Language Models, and Linguistic Transfer for Ideology Detection in Social Media., , и . EVALITA, том 3473 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Fewer features perform well at Native Language Identification task., и . BEA@EMNLP, стр. 255-260. Association for Computational Linguistics, (2017)