| Foundations |
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial by Graham Neubig |
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Memorandum on Translation by Warren Weaver |
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Translation by Martin Kay |
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Good applications for crummy machine translation by Church and Hovy |
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Bleu: a Method for Automatic Evaluation of Machine Translation by Kishore Papineni, Salim Roukos, Todd Ward, Wei-Jing Zhu |
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A Structured Review of the Validity of BLEU by Ehud Reiter |
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Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation by Antonio Toral, Sheila Castilho, Ke Hu, Andy Way |
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Six Challenges for Neural Machine Translation by Philipp Koehn, Rebecca Knowles |
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Alignment by Dekai Wu |
| Data Matters |
Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation by Leshem Choshen, Omri Abend |
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On the Impact of Various Types of Noise on Neural Machine Translation by Huda Khayrallah and Philipp Koehn |
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Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation by Nikolay Bogoychev, Rico Sennrich |
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What kind of language is hard to language model? by Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner |
| Diversity and Latent Variable Models |
Mixture Models for Diverse Machine Translation: Tricks of the Trade by Tianxiao Shen, Myle Ott, Michael Auli, MarcAurelio Ranzato |
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Generating Diverse Translations with Sentence Codes by Shu, Nakayama and Cho |
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Search Engine Guided Neural Machine Translation by Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li |
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Comparison of Diverse Decoding Methods from Conditional Language Models by Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch |
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Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior by Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho |
| Combining Symbolic and Neural Models |
Incorporating discrete translation lexicons into neural machine translation by Philip Arthur, Graham Neubig, and Satoshi Nakamura. |
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Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation by Matt Post, David Vilar |
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Neural Machine Translation with External Phrase Memory by Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L.H. Yu |
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A Discriminative Neural Model for Cross-Lingual Word Alignment by Elias Stengel-Eskin, Tzu-ray Su, Matt Post, Benjamin Van Durme |
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Neural Interactive Machine Translation by Rebecca Knowles and Philipp Koehn |
| Optimization |
Sequence-to-sequence learning as beam-search optimization. by Sam Wiseman and Alexander M. Rush. |
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Beyond BLEU: Training neural machine translation with semantic similarity. by John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, and Graham Neubig. |
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Minimum Risk Training for Neural Machine Translation by Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu |
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Classical Structured Prediction Losses for Sequence to Sequence Learning by Sergey Edunov, Myle Ott, Michael Auli, David Grangier, MarcAurelio Ranzato |
| Discourse |
Evaluating Discourse Phenomena in Neural Machine Translation by Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow |
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Learning to Remember Translation History with a Continuous Cache by Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang |
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Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations by Sameen Maruf, André F. T. Martins, Gholamreza Haffari |
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Context-Aware Neural Machine Translation Learns Anaphora Resolution by Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov |
| Multitask and Multilingual learning |
The Missing Ingredient in Zero-Shot Neural Machine Translation by Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, Wolfgang Macherey |
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Consistency by Agreement in Zero-Shot Neural Machine Translation by Maruan Al-Shedivat, Ankur Parikh |
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Multilingual Denoising Pre-training for Neural Machine Translation by Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer |
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Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation by Poorya Zaremoodi, Wray Buntine, Gholamreza Haffari |
| Beyond Denotation in Cross-Lingual Models |
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast by Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova |
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Metaphor detection with cross-lingual model transfer by Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg, Chris Dyer |
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How Translation Alters Sentiment by Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko |
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What Level of Quality can Neural Machine Translation Attain on Literary Text? by Antonio Toral, Andy Way |