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Domain Adaptive Inference for Neural Machine Translation., , , and . ACL (1), page 222-228. Association for Computational Linguistics, (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)Neural Machine Translation: A Review.. CoRR, (2019)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)Using Context in Neural Machine Translation Training Objectives., , and . ACL, page 7764-7770. Association for Computational Linguistics, (2020)Fast Text Generation with Text-Editing Models., , , , , , , , , and . KDD, page 5815-5816. ACM, (2023)The University of Cambridge's Machine Translation Systems for WMT18., , and . WMT (shared task), page 504-512. Association for Computational Linguistics, (2018)Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES., and . NAACL-HLT, page 4950-4961. Association for Computational Linguistics, (2022)