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Global Pre-ordering for Improving Sublanguage Translation.

, , , and . WAT@COLING, page 84-93. The COLING 2016 Organizing Committee, (2016)

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Question Answering System Using Syntactic Information, , and . CoRR, (1999)Modeling Future Cost for Neural Machine Translation., , , , , , and . CoRR, (2020)An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation., , , , , and . CoRR, (2019)Towards Tokenization and Part-of-Speech Tagging for Khmer: Data and Discussion., , , , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 20 (6): 104:1-104:16 (2021)A Burmese (Myanmar) Treebank: Guideline and Analysis., , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (3): 40:1-40:13 (2020)An Empirical Comparison of Parsers in Constraining Reordering for E-J Patent Machine Translation., , , and . J. Inf. Process., 20 (4): 871-882 (2012)A Fuzzy Training Framework for Controllable Sequence-to-Sequence Generation., , , , , , , and . IEEE Access, (2022)Explicit Sentence Compression for Neural Machine Translation., , , , , , and . CoRR, (2019)Probing Contextualized Sentence Representations with Visual Awareness., , , , , and . CoRR, (2019)Burmese (Myanmar) Name Romanization: A Sub-syllabic Segmentation Scheme for Statistical Solutions., , , and . PACLING, volume 781 of Communications in Computer and Information Science, page 191-202. Springer, (2017)