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Phrase-based Machine Translation using Multiple Preordering Candidates.

, , , and . COLING, page 1419-1428. ACL, (2016)

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DyNet: The Dynamic Neural Network Toolkit, , , , , , , , , and 15 other author(s). (Jan 15, 2017)Overview of the 8th Workshop on Asian Translation., , , , , , , , , and 6 other author(s). WAT@ACL/IJCNLP, page 1-45. Association for Computational Linguistics, (2021)Vaporetto: Efficient Japanese Tokenization Based on Improved Pointwise Linear Classification., , , and . CoRR, (2024)Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)., , , , , , and . ASE, page 574-584. IEEE Computer Society, (2015)TDDC: Timely Disclosure Documents Corpus., , and . LREC, page 3719-3726. European Language Resources Association, (2020)Ckylark: A More Robust PCFG-LA Parser., , , , and . HLT-NAACL, page 41-45. The Association for Computational Linguistics, (2015)LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs., , , , , , , , , and 70 other author(s). CoRR, (2024)Phrase-based Machine Translation using Multiple Preordering Candidates., , , and . COLING, page 1419-1428. ACL, (2016)Findings of the Third Workshop on Neural Generation and Translation., , , , , , , and . NGT@EMNLP-IJCNLP, page 1-14. Association for Computational Linguistics, (2019)An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation., , , , , and . NMT@ACL, page 61-68. Association for Computational Linguistics, (2017)