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Although the Transformer translation model (Vaswani et al., 2017) has achieved state-of-the-art performance in a variety of translation tasks, how to use document-level context to deal with discourse phenomena problematic for Transformer still remains a challenge.
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Rachel Bawden, Rico Sennrich, Alexandra Birch, and Barry Haddow. 2018 · 2018
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Does neural machine translation benefit from larger context?
Sebastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho. 2017 · 2017
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Shaohui Kuang, Deyi Xiong, Weihua Luo, and Guodong Zhou. 2017 · 2017
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Jörg Tiedemann and Yves Scherrer. 2017 · 2017
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Modeling lexical cohesion for document-level machine translation
Deyi Xiong, Guosheng Ben, Min Zhang, Yajuan Lv, and Qun Liu. 2013a
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Lexical chain based cohesion models for document-level statistical machine translation
Deyi Xiong, Yang Ding, Min Zhang, and Chew Lim Tan. 2013b
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