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Learning to Stop in Structured Prediction for Neural Machine Translation.

, , and . NAACL-HLT (1), page 1884-1889. Association for Computational Linguistics, (2019)

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Data-Driven Adaptive Simultaneous Machine Translation., , , , , , , , , and . CoRR, (2022)Classify or Select: Neural Architectures for Extractive Document Summarization., , and . CoRR, (2016)When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)., , and . CoRR, (2018)Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework., , , , , , , and . CoRR, (2019)A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1399-1411. PMLR, (2022)Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings., , , , and . EMNLP (1), page 5857-5864. Association for Computational Linguistics, (2021)Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation., , and . EMNLP, page 3188-3197. Association for Computational Linguistics, (2018)Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training., , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3928-3937. Association for Computational Linguistics, (2020)When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)., , and . EMNLP, page 2134-2139. Association for Computational Linguistics, (2017)Prototype based feature learning for face image set classification., , , and . FG, page 1-6. IEEE Computer Society, (2013)