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DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models.

, , , , and . EMNLP, page 4586-4602. Association for Computational Linguistics, (2023)

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Kyoto University MT System Description for IWSLT 2017., , and . IWSLT, page 55-59. International Workshop on Spoken Language Translation, (2017)NICT-5's Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages., and . WAT@ACL/IJCNLP, page 198-204. Association for Computational Linguistics, (2021)Overview of the 7th Workshop on Asian Translation., , , , , , , , , and 2 other author(s). WAT@AAC/IJCNLPL, page 1-44. Association for Computational Linguistics, (2020)YANMTT: Yet Another Neural Machine Translation Toolkit., , , and . ACL (demo), page 257-263. Association for Computational Linguistics, (2023)Tackling Close Cousins: Experiences In Developing Statistical Machine Translation Systems For Marathi And Hindi., , and . ICON, page 11-19. NLP Association of India, (2014)PaCMan : Parallel Corpus Management Workbench., , , and . ICON, page 162-166. NLP Association of India, (2014)Augmenting Pivot based SMT with word segmentation., , , and . ICON, page 303-307. NLP Association of India, (2015)Do not do processing, when you can look up: Towards a Discrimination Net for WSD., , , , and . GWC, page 194-200. University of Tartu Press, (2014)FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT., , , , , and . COLING, page 5014-5020. International Committee on Computational Linguistics, (2022)Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages., , , , , and . COLING, page 1384-1395. International Committee on Computational Linguistics, (2020)