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Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation

Sébastien Jean, KyungHyun Cho. Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation. In Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos 0001, editors, Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. pages 95-101, Association for Computational Linguistics, 2020. [doi]

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