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Dynamic Model Interpolation for Statistical Machine Translation.

, and . WMT@ACL, page 208-215. Association for Computational Linguistics, (2008)

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A Three-Parameter Rank-Frequency Relation in Natural Languages., , and . ACL, page 460-464. Association for Computational Linguistics, (2020)YANMTT: Yet Another Neural Machine Translation Toolkit., , , and . ACL (demo), page 257-263. Association for Computational Linguistics, (2023)Feasibility Study for Ellipsis Resultion in Dialogues by Machine-Learning Technique., and . COLING-ACL, page 1428-1435. Morgan Kaufmann Publishers / ACL, (1998)An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation., , , and . WAT@COLING, page 139-148. The COLING 2016 Organizing Committee, (2016)Filtering Syntactic Constraints for Statistical Machine Translation., and . ACL (2), page 17-21. The Association for Computer Linguistics, (2010)Feedback Cleaning of Machine Translation Rules Using Automatic Evaluation., , and . ACL, page 447-454. ACL, (2003)Overview of the 1st Workshop on Asian Translation., , , , and . WAT, page 1-19. Workshop on Asian Translation, (2014)Combination of Statistical and Neural Machine Translation for Myanmar-English., , and . WAT@PACLIC, Association for Computational Linguistics, (2018)Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English., , , , , , and . WAT@EMNLP-IJCNLP, page 68-75. Association for Computational Linguistics, (2019)NICT-2 Translation System at WAT-2021: Applying a Pretrained Multilingual Encoder-Decoder Model to Low-resource Language Pairs., and . WAT@ACL/IJCNLP, page 90-95. Association for Computational Linguistics, (2021)