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Applicative Structures and Immediate Discourse in the Turkish Discourse Bank.

, , , and . LAW@ACL, page 122-130. The Association for Computer Linguistics, (2013)

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Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset., , , , , , and . LREC, page 2413-2423. European Language Resources Association, (2020)Annotating Discourse Connectives in Spoken Turkish., and . LAW@COLING, page 105-109. The Association for Computer Linguistics, (2014)A Syntactically Expressive Morphological Analyzer for Turkish., , and . FSMNLP, page 65-75. Association for Computational Linguistics, (2019)Criteria for Useful Automatic Romanization in South Asian Languages., , , and . LREC, page 6662-6673. European Language Resources Association, (2022)Applicative Structures and Immediate Discourse in the Turkish Discourse Bank., , , and . LAW@ACL, page 122-130. The Association for Computer Linguistics, (2013)A Unified Phonological Representation of South Asian Languages for Multilingual Text-to-Speech., , and . SLTU, page 80-84. ISCA, (2018)Open-Source High Quality Speech Datasets for Basque, Catalan and Galician., , , , and . SLTU-CCURL@LREC, page 21-27. European Language Resources association, (2020)Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech., , , , , , , , and . LREC, page 6504-6513. European Language Resources Association, (2020)Open-source Multi-speaker Corpora of the English Accents in the British Isles., , , and . LREC, page 6532-6541. European Language Resources Association, (2020)Annotating Subordinators in the Turkish Discourse Bank., , , , , , , , and . Linguistic Annotation Workshop, page 44-47. The Association for Computer Linguistics, (2009)