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1910.00294
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When and Why is Document-level Context Useful in Neural Machine Translation?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
1 October 2019
Yunsu Kim
Thanh-Hai Tran
Hermann Ney
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Papers citing
"When and Why is Document-level Context Useful in Neural Machine Translation?"
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Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation
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364
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Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges
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Dennis Fucci
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Maria Nadejde
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Georgiana Dinu
173
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Focused Concatenation for Context-Aware Neural Machine Translation
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Modeling Context With Linear Attention for Scalable Document-Level Translation
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189
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Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
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Orhan Firat
128
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When Does Translation Require Context? A Data-driven, Multilingual Exploration
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152
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Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information
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Revisiting Context Choices for Context-aware Machine Translation
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Toshiaki Nakazawa
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111
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Diverse Pretrained Context Encodings Improve Document Translation
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Lei Yu
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Do Context-Aware Translation Models Pay the Right Attention?
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Patrick Fernandes
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Aditi Chaudhary
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187
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Measuring and Increasing Context Usage in Context-Aware Machine Translation
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172
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Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
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Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
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Gender Bias in Machine Translation
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Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
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Document Graph for Neural Machine Translation
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Liangyou Li
Derek. F. Wai
Qun Liu
Lidia S. Chao
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Diving Deep into Context-Aware Neural Machine Translation
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190
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Rethinking Document-level Neural Machine Translation
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Shujian Huang
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Lei Li
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Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
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120
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Yufan Jiang
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100
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Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation
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133
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Shafiq Joty
Dominika Basaj
111
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A Survey on Document-level Neural Machine Translation: Methods and Evaluation
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Gholamreza Haffari
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Document-level Neural Machine Translation with Associated Memory Network
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Bao-Liang Lu
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