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Machine translation (MT) is a technique that leverages computers to translate human languages automatically.
Translation
Warren Weaver · 1955
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The mathematics of statistical machine translation: Parameter estimation
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu · 2003
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Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
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Moses: Open source toolkit for statistical machine translation
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Hua Wu and Haifeng Wang · 2007
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Cache-based document-level statistical machine translation
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Deciphering foreign language
Sujith Ravi and Kevin Knight · 2011
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Document-level consistency verification in machine translation
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Large scale decipherment for out-of-domain machine translation
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Toward statistical machine translation without parallel corpora
Alexandre Klementiev, Ann Irvine, Chris Callison-Burch, and David Yarowsky · 2012
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Deciphering foreign language by combining language models and context vectors
Malte Nuhn, Arne Mauser, and Hermann Ney · 2012
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Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever · 2013
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Improved speech-to-text translation with the Fisher and Callhome Spanish–English speech translation corpus
Matt Post, Gaurav Kumar, Adam Lopez, Damianos Karakos, Chris Callison-Burch, and Sanjeev Khudanpur · 2013
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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 · 2013
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Learning a phrase-based translation model from monolingual data with application to domain adaptation
Jiajun Zhang, Chengqing Zong, et al · 2013
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Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer · 2014
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Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation
Alvin Grissom II, He He, Jordan Boyd-Graber, John Morgan, and Hal Daumé III · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
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Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang · 2015
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On using monolingual corpora in neural machine translation
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2015
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Stanford neural machine translation systems for spoken language domain
Minh-Thang Luong and Christopher D. Manning · 2015
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Deep neural networks in machine translation: An overview
Jiajun Zhang, Chengqing Zong, et al · 2015
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Listen and translate: A proof of concept for end-to-end speech-to-text translation
Alexandre Bérard, Olivier Pietquin, Christophe Servan, and Laurent Besacier · 2016
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Semi-supervised learning for neural machine translation
Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu · 2016
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Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio · 2016
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Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma · 2016
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Attention-based multimodal neural machine translation
Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, Jean Oh, and Chris Dyer · 2016
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Is neural machine translation ready for deployment? a case study on 30 translation directions
Marcin Junczys-Dowmunt, Tomasz Dwojak, and Hieu Hoang · 2016
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Agreement on target-bidirectional neural machine translation
Lemao Liu, Masao Utiyama, Andrew Finch, and Eiichiro Sumita · 2016
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Coverage embedding models for neural machine translation
Haitao Mi, Baskaran Sankaran, Zhiguo Wang, and Abe Ittycheriah · 2016
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Dynamic transcription for low-latency speech translation
Jan Niehues, Thai Son Nguyen, Eunah Cho, Thanh-Le Ha, Kevin Kilgour, Markus Müller, Matthias Sperber, Sebastian Stüker, and Alex Waibel · 2016
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Simultaneous machine translation using deep reinforcement learning
Harsh Satija and Joelle Pineau · 2016
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Edinburgh neural machine translation systems for wmt 16
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Minimum risk training for neural machine translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu · 2016
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Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al · 2016
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Exploiting source-side monolingual data in neural machine translation
Jiajun Zhang, Chengqing Zong, et al · 2016
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Multi-source neural translation
Barret Zoph and Kevin Knight · 2016
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Transfer learning for low-resource neural machine translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight · 2016
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Learning bilingual word embeddings with (almost) no bilingual data
Mikel Artetxe, Gorka Labaka, and Eneko Agirre · 2017
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Using a graph-based coherence model in document-level machine translation
Leo Born, Mohsen Mesgar, and Michael Strube · 2017
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Doubly-attentive decoder for multi-modal neural machine translation
Iacer Calixto, Qun Liu, and Nick Campbell · 2017
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Joint training for pivot-based neural machine translation
Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, and Wei Xu · 2017
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An empirical comparison of simple domain adaptation methods for neural machine translation
Chenhui Chu, Raj Dabre, and Sadao Kurohashi · 2017
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Visualizing and understanding neural machine translation
Yanzhuo Ding, Yang Liu, Huanbo Luan, and Maosong Sun · 2017
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Imagination improves multimodal translation
Desmond Elliott and Akos Kádár · 2017
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Multi-way, multilingual neural machine translation
Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T Yarman Vural, and Yoshua Bengio · 2017
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
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Learning to translate in real-time with neural machine translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho, and Victor OK Li · 2017
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On integrating a language model into neural machine translation
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, and Yoshua Bengio · 2017
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Decoding as continuous optimization in neural machine translation
Cong Duy Vu Hoang, Gholamreza Haffari, and Trevor Cohn · 2017
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Does neural machine translation benefit from larger context?
Sebastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho · 2017
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, et al · 2017
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Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles · 2017
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Using the output embedding to improve language models
Ofir Press and Lior Wolf · 2017
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Co-reference resolution of elided subjects and possessive pronouns in spanish-english statistical machine translation
Annette Rios and Don Tuggener · 2017
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Modeling past and future for neural machine translation
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, and Zhaopeng Tu · 2018
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Monotonic infinite lookback attention for simultaneous machine translation
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, and Colin Raffel · 2019
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An effective approach to unsupervised machine translation
Mikel Artetxe, Gorka Labaka, and Eneko Agirre · 2019
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Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, and Sharon Goldwater · 2019
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Probing the need for visual context in multimodal machine translation
Ozan Caglayan, Pranava Madhyastha, Lucia Specia, and Loïc Barrault · 2019
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The university of edinburgh’s neural mt systems for wmt17
Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, and Philip Williams · 2017
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Neural machine translation with extended context
Jörg Tiedemann and Yves Scherrer · 2017
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Ashish Vawani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Exploiting cross-sentence context for neural machine translation
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu · 2017
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Instance weighting for neural machine translation domain adaptation
Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, and Eiichiro Sumita · 2017
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Translating phrases in neural machine translation
Xing Wang, Zhaopeng Tu, Deyi Xiong, and Min Zhang · 2017
Cited alongside, same era.
Sequence-to-sequence models can directly translate foreign speech
Ron J Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, and Zhifeng Chen · 2017
Cited alongside, same era.
Iacer Calixto and Qun Liu · 2019
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Latent variable model for multi-modal translation
Iacer Calixto, Miguel Rios, and Wilker Aziz · 2019
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Robust neural machine translation with doubly adversarial inputs
Yong Cheng, Lu Jiang, and Wolfgang Macherey · 2019
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Cross-lingual language model pretraining
Alexis Conneau and Guillaume Lample · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Must-c: a multilingual speech translation corpus
Mattia A Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, and Marco Turchi · 2019
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Sequence modeling with unconstrained generation order
Dmitrii Emelianenko, Elena Voita, and Pavel Serdyukov · 2019
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Memory-augmented neural machine translation
Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, and Andrew Abel · 2019
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Insertion-based decoding with automatically inferred generation order
Jiatao Gu, Qi Liu, and Kyunghyun Cho · 2019
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Non-autoregressive neural machine translation with enhanced decoder input
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, and Tie-Yan Liu · 2019
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Leveraging weakly supervised data to improve end-to-end speech-to-text translation
Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, and Yonghui Wu · 2019
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Unsupervised pivot translation for distant languages
Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, and Tie-Yan Liu · 2019
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End-to-end speech translation with knowledge distillation
Yuchen Liu, Hao Xiong, Zhongjun He, Jiajun Zhang, Hua Wu, Haifeng Wang, and Chengqing Zong · 2019
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Understanding and improving transformer from a multi-particle dynamic system point of view
Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, and Tie-Yan Liu · 2019
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Stacl: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework
Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, et al · 2019
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Selective attention for context-aware neural machine translation
Sameen Maruf, André FT Martins, and Gholamreza Haffari · 2019
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Explicit cross-lingual pre-training for unsupervised machine translation
Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, and Shuai Ma · 2019
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Retrieving sequential information for non-autoregressive neural machine translation
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, and Jie Zhou · 2019
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The evolved transformer
David R So, Chen Liang, and Quoc V Le · 2019
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Mass: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu · 2019
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Insertion transformer: Flexible sequence generation via insertion operations
Mitchell Stern, William Chan, Jamie Kiros, and Jakob Uszkoreit · 2019
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Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding
Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao, and Yang Liu · 2019
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Hierarchical modeling of global context for document-level neural machine translation
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Multilingual neural machine translation with language clustering
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, and Tie-Yan Liu · 2019
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Context-aware monolingual repair for neural machine translation
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When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion
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Learning deep transformer models for machine translation
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Improving back-translation with uncertainty-based confidence estimation
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Synchronously generating two languages with interactive decoding
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Non-autoregressive machine translation with auxiliary regularization
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Imitation learning for non-autoregressive neural machine translation
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Pay less attention with lightweight and dynamic convolutions
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Modeling coherence for discourse neural machine translation
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Enhancing context modeling with a query-guided capsule network for document-level translation
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Iterative dual domain adaptation for neural machine translation
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Improving deep transformer with depth-scaled initialization and merged attention
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Future-aware knowledge distillation for neural machine translation
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Bridging the gap between training and inference for neural machine translation
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Curriculum learning for domain adaptation in neural machine translation
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Regularizing neural machine translation by target-bidirectional agreement
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Simpler and faster learning of adaptive policies for simultaneous translation
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Simultaneous translation with flexible policy via restricted imitation learning
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Dynamic past and future for neural machine translation
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Synchronous bidirectional neural machine translation
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Sequence generation: From both sides to the middle
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Learning coupled policies for simultaneous machine translation
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