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Improving KantanMT Training Efficiency with fast_align.

, , , , , and . AMTA (2), page 222-231. The Association for Machine Translation in the Americas, (2016)

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Controlled Translation in an Example-based Environment: What do Automatic Evaluation Metrics Tell Us?, and . Mach. Transl., 19 (1): 1-36 (2005)Hybrid data-driven models of machine translation., and . Mach. Transl., 19 (3-4): 301-323 (2005)A syntactic language model based on incremental CCG parsing., , and . SLT, page 205-208. IEEE, (2008)What Level of Quality can Neural Machine Translation Attain on Literary Text?, and . CoRR, (2018)Hybrid rule-based - example-based MT: feeding Apertium with sub-sentential translation units, , and . EBMT 2009 - 3rd Workshop on Example-Based Machine Translation, Dublin, Ireland, DORAS, (2009)Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation, , and . Proceedings of Treebanks and Linguistic Theories (TLT '07), Bergen, Norway, NEALT, (2007)Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation., , and . CICLing, volume 5449 of Lecture Notes in Computer Science, page 318-331. Springer, (2009)A review of the state-of-the-art in automatic post-editing., , , , , , , , and . Mach. Transl., 35 (2): 101-143 (2021)A roadmap to neural automatic post-editing: an empirical approach., , , , , , , , and . Mach. Transl., 34 (2-3): 67-96 (2020)Integrating source-language context into phrase-based statistical machine translation., , , and . Mach. Transl., 25 (3): 239-285 (2011)