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Saliency-driven Word Alignment Interpretation for Neural Machine Translation., , and . WMT (1), page 1-12. Association for Computational Linguistics, (2019)A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation., , and . MTSummit (1), page 204-213. European Association for Machine Translation, (2019)EMMeTT: Efficient Multimodal Machine Translation Training., , , , , , , , , and . CoRR, (2024)The JHU Machine Translation Systems for WMT 2016., , , , and . WMT, page 272-280. The Association for Computer Linguistics, (2016)The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task., , , , and . WMT@EMNLP, page 904-910. Association for Computational Linguistics, (2021)Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains., , , , , and . ACL (Short Papers), page 488-500. Association for Computational Linguistics, (2024)A Call for Prudent Choice of Subword Merge Operations., , and . CoRR, (2019)Parallelizable Stack Long Short-Term Memory., and . SPNLP@NAACL-HLT, page 1-6. Association for Computational Linguistics, (2019)Multi-Modal Data Augmentation for End-to-end ASR., , , and . INTERSPEECH, page 2394-2398. ISCA, (2018)An Exploration of Placeholding in Neural Machine Translation., , , and . MTSummit (1), page 182-192. European Association for Machine Translation, (2019)