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In this work, we present novel approaches to exploit sentential context for neural machine translation (NMT).
Modeling past and future for neural machine translation
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Statistical Significance Tests for Machine Translation Evaluation
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Mixture-model adaptation for smt
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A topic similarity model for hierarchical phrase-based translation
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Combining domain and topic adaptation for smt
Eva Hasler, Barry Haddow, and Philipp Koehn. 2014 · 2014
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A convolutional neural network for modelling sentences
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Neural Machine Translation by Jointly Learning to Align and Translate
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Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015 · 2015
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Encoding source language with convolutional neural network for machine translation
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, and Qun Liu. 2015 · 2015
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Topic-based coherence modeling for statistical machine translation
Deyi Xiong, Min Zhang, and Xing Wang. 2015 · 2015
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Local translation prediction with global sentence representation
Jiajun Zhang, Dakun Zhang, and Jie Hao. 2015 · 2015
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Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Does string-based neural mt learn source syntax?
Xing Shi, Inkit Padhi, and Kevin Knight. 2016 · 2016
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Topic-informed neural machine translation
Jian Zhang, Liangyou Li, Andy Way, and Qun Liu. 2016 · 2016
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Context-dependent word representation for neural machine translation
Heeyoul Choi, Kyunghyun Cho, and Yoshua Bengio. 2017 · 2017
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A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
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Deconvolution-based global decoding for neural machine translation
Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, and Qi Su. 2018 · 2018
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Deep Contextualized Word Representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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An analysis of encoder representations in transformer-based machine translation
Alessandro Raganato and Jörg Tiedemann. 2018 · 2018
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Dense information flow for neural machine translation
Yanyao Shen, Xu Tan, Di He, Tao Qin, and Tie-Yan Liu. 2018 · 2018
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Learning to remember translation history with a continuous cache
Zhaopeng Tu, Yang Liu, Shuming Shi, and Tong Zhang. 2018 · 2018
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Multi-layer representation fusion for neural machine translation
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Attention is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Training deeper neural machine translation models with transparent attention
Ankur Bapna, Mia Chen, Orhan Firat, Yuan Cao, and Yonghui Wu. 2018 · 2018
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
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Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, and Łukasz Kaiser. 2018 · 2018
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Exploiting deep representations for neural machine translation
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, and Tong Zhang. 2018 · 2018
Cited alongside, same era.
Exploiting cross-sentence context for neural machine translation
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. 2017a
Cited in the paper.
Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, and Jingbo Zhu. 2018 · 2018
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Modeling localness for self-attention networks
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, and Tong Zhang. 2018 · 2018
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Dynamic layer aggregation for neural machine translation with routing-by-agreement
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, and Tong Zhang. 2019 · 2019
Closest in time.
Modeling recurrence for transformer
Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, and Zhaopeng Tu. 2019 · 2019
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Information aggregation for multi-head attention with routing-by-agreement
Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, and Zhaopeng Tu. 2019 · 2019
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Context-aware self-attention networks
Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, and Zhaopeng Tu. 2019 · 2019
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