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Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices.

, , , and . CoRR, (2016)

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Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices., , , and . CoRR, (2016)Transformer-based Models of Text Normalization for Speech Applications., , , and . CoRR, (2022)Neural Models of Text Normalization for Speech Applications., , , , , , and . Comput. Linguistics, 45 (2): 293-337 (2019)Fast Text Generation with Text-Editing Models., , , , , , , , , and . KDD, page 5815-5816. ACM, (2023)Using Context in Neural Machine Translation Training Objectives., , and . ACL, page 7764-7770. Association for Computational Linguistics, (2020)Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation., , , and . AMTA (1), page 208-216. Association for Machine Translation in the Americas, (2018)Neural Machine Translation: A Review.. CoRR, (2019)Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models., and . BEA@EACL, page 37-47. Association for Computational Linguistics, (2021)A Comparison of Neural Models for Word Ordering., , , , and . INLG, page 208-212. Association for Computational Linguistics, (2017)Neural Grammatical Error Correction with Finite State Transducers., , and . NAACL-HLT (1), page 4033-4039. Association for Computational Linguistics, (2019)