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Language Informed Modeling of Code-Switched Text.

, , , and . CodeSwitch@ACL, page 92-97. Association for Computational Linguistics, (2018)

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CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing., , , and . CALCS@NAACL, page 113-118. Association for Computational Linguistics, (2021)Änswer ka type kya he?": Learning to Classify Questions in Code-Mixed Language., , and . WWW (Companion Volume), page 853-858. ACM, (2015)Comparative Analysis of Neural QA models on SQuAD., , and . QA@ACL, page 89-97. Association for Computational Linguistics, (2018)Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models., , , , and . COLING, page 6089-6104. International Committee on Computational Linguistics, (2022)Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching., , , and . EMNLP (Findings), page 4389-4397. Association for Computational Linguistics, (2021)"nee intention enti?" towards dialog act recognition in code-mixed conversations., , , and . IALP, page 243-246. IEEE, (2017)The Generative AI Paradox: "What It Can Create, It May Not Understand"., , , , , , , , , and 4 other author(s). CoRR, (2023)A Survey of Code-switched Speech and Language Processing., , , and . CoRR, (2019)Tackling Code-Switched NER: Participation of CMU., , and . CodeSwitch@ACL, page 126-131. Association for Computational Linguistics, (2018)Language Informed Modeling of Code-Switched Text., , , and . CodeSwitch@ACL, page 92-97. Association for Computational Linguistics, (2018)