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Machine translation (MT) is an important task in natural language processing (NLP) as it automates the translation process and reduces the reliance on human translators.
Context in Neural Machine Translation: A Review of Models and Evaluations
Andrei Popescu-Belis. 2019 · 1901
Earlier work this paper cites.
Context-Aware Learning for Neural Machine Translation
Sébastien Jean and Kyunghyun Cho. 2019 · 1903
Earlier work this paper cites.
Translationese in Machine Translation Evaluation
Yvette Graham, Barry Haddow, and Philipp Koehn. 2019 · 1906
Earlier work this paper cites.
Improving Context-aware Neural Machine Translation with Target-side Context
Hayahide Yamagishi and Mamoru Komachi. 2019 · 1909
Earlier work this paper cites.
Document-level Neural Machine Translation with Inter-Sentence Attention
Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, and Bao-liang Lu. 2019 · 1910
Earlier work this paper cites.
Pretrained language models for document-level neural machine translation
Liangyou Li, Xin Jiang, and Qun Liu. 2019 · 1911
Earlier work this paper cites.
Improving Conditioning in Context-Aware Sequence to Sequence Models
Xinyi Wang, Jason Weston, Michael Auli, and Yacine Jernite. 2019 · 1911
Earlier work this paper cites.
The present status of automatic translation of languages
Yehoshua Bar-Hillel. 1960 · 1960
Earlier work this paper cites.
Statistical Analysis of Non-Lattice Data
Julian Besag. 1975 · 1975
Earlier work this paper cites.
Cohesion in English
Michael Halliday and Ruqaiya Hasan. 1976 · 1976
Earlier work this paper cites.
Information Retrieval (2nd ed.)
C. J. Van Rijsbergen. 1979 · 1979
Earlier work this paper cites.
Learning Internal Representations by Error Propagation
D. E. Rumelhart, G. E. Hinton, and R. J. Williams. 1986 · 1986
Earlier work this paper cites.
A theoretical framework for back-propagation. In Proceedings of the 1988 Connectionist Models Summer School , D. Touretzky, G. Hinton, and T. Sejnowski (Eds.). Morgan Kaufmann, Pittsburg, PA, USA, 21–28
Yann LeCun. 1988 · 1988
Earlier work this paper cites.
Rhetorical Structure Theory: Toward a Functional Theory of Text Organization
William C. Mann and Sandra A. Thompson. 1988 · 1988
Earlier work this paper cites.
Finding structure in time
Jeffrey L. Elman. 1990 · 1990
Earlier work this paper cites.
The Mathematics of Statistical Machine Translation: Parameter Estimation
Peter F. Brown, Vincent J. Della Pietra, Stephen A. Della Pietra, and Robert L. Mercer. 1993 · 1993
Earlier work this paper cites.
WordNet: An electronic lexical database
Christiane Fellbaum (Ed.). 1998 · 1998
Earlier work this paper cites.
Bayes-Ball: Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams). In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence . Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 480–487
Ross D. Shachter. 1998 · 1998
Earlier work this paper cites.
Multilingual denoising pre-training for neural machine translation
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, and Luke Zettlemoyer. 2020 · 2001
Earlier work this paper cites.
BLEU: A Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics . ACL, Philadelphia, PA, USA, 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Elman Mansimov, Gábor Melis, and Lei Yu. 2020 · 2003
Earlier work this paper cites.
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yanfeng Wang, and Deyi Xiong. 2020 · 2003
Earlier work this paper cites.
Statistical Significance Tests for Machine Translation Evaluation. In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing . ACL, Barcelona, Spain, 388–395
Philipp Koehn. 2004 · 2004
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization . ACL, Ann Arbor, MI, USA, 65–72
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
A study of translation edit rate with targeted human annotation. In Proceedings of 7th Conference of the Association for Machine Translation in the Americas . 223–231
Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments. In Proceedings of the 2nd Workshop on Statistical Machine Translation . ACL, Prague, Czech Republic, 228–231
Alon Lavie and Abhaya Agarwal. 2007 · 2007
Earlier work this paper cites.
Statistical Machine Translation
Adam Lopez. 2008 · 2008
Earlier work this paper cites.
Curriculum Learning. In Proceedings of the 26th Annual International Conference on Machine Learning . ACM, Montreal, QC, Canada, 41–48
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
Earlier work this paper cites.
Speech and Language Processing (2nd ed.)
Daniel Jurafsky and James H. Martin. 2009 · 2009
Earlier work this paper cites.
Modelling pronominal anaphora in statistical machine translation. In Proceedings of the 7th International Workshop on Spoken Language Translation . Paris, France, 283–289
Christian Hardmeier and Marcello Federico. 2010 · 2010
Earlier work this paper cites.
Cache-based Document-level Statistical Machine Translation. In Proceedings of the Conf. on Empirical Methods in Natural Lang. Processing . ACL, Edinburgh, Scotland, UK, 909–919
Zhengxian Gong, Min Zhang, and Guodong Zhou. 2011 · 2011
Earlier work this paper cites.
Document-level Consistency Verification in Machine Translation. In Proceedings of the 13th Machine Translation Summit . AAMT, Xiamen, China, 131–138
Tong Xiao, Jingbo Zhu, Shujie Yao, and Hao Zhang. 2011 · 2011
Earlier work this paper cites.
Sequence Transduction with Recurrent Neural Networks. In Representation Learning Workshop at the International Conference on Machine Learning . PMLR, Edinburgh, Scotland, UK
Alex Graves. 2012 · 2012
Earlier work this paper cites.
Document-Wide Decoding for Phrase-Based Statistical Machine Translation. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning . ACL, Jeju Island, Korea, 1179–1190
Christian Hardmeier, Joakim Nivre, and Jörg Tiedemann. 2012 · 2012
Earlier work this paper cites.
Machine Translation of Labeled Discourse Connectives. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas . San Diego, CA, USA
Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, and Andrea Gesmundo. 2012 · 2012
Earlier work this paper cites.
Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning . ACL, Jeju Island, Korea, 1060–1068
Billy T. M. Wong and Chunyu Kit. 2012 · 2012
Earlier work this paper cites.
Assessing the Accuracy of Discourse Connective Translations: Validation of an Automatic Metric. In Proceedings of the 14th International Conference on Computational Linguistics and Intelligent Text Processing . Springer Berlin Heidelberg, Samos, Greece, 236–247
Najeh Hajlaoui and Andrei Popescu-Belis. 2013 · 2013
Earlier work this paper cites.
Document-Level Machine Translation as a Re-translation Process
Eva Martínez Garcia, Cristina España-Bonet, and Lluís Màrquez. 2014 · 2014
Earlier work this paper cites.
Using Discourse Structure Improves Machine Translation Evaluation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics . ACL, Baltimore, MD, USA, 687–698
Francisco Guzmán, Shafiq Joty, Lluís Màrquez, and Preslav Nakov. 2014 · 2014
Earlier work this paper cites.
Discourse in Statistical Machine Translation
Christian Hardmeier. 2014 · 2014
Earlier work this paper cites.
The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics . ACL, Baltimore, Maryland, 55–60
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
Earlier work this paper cites.
Sequence to Sequence Learning with Neural Networks. In Advances in Neural Information Processing Systems 27 , Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 3104–3112
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Earlier work this paper cites.
Neural Machine Translation by Jointly Learning to Align and Translate. In Proceedings of the 3rd International Conference on Learning Representations
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Document-Level Machine Translation with Word Vector Models. In Proceedings of the 18th Conf. of the Europ. Assoc. for Mach. Trans. Antalya, Turkey, 59–66
Eva Martínez Garcia, Cristina España-Bonet, and Lluís Màrquez. 2015 · 2015
Earlier work this paper cites.
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion. In Proceedings of the 2nd Workshop on Discourse in Machine Translation . ACL, Lisbon, Portugal, 33–40
Zhengxian Gong, Min Zhang, and Guodong Zhou. 2015 · 2015
Earlier work this paper cites.
Globally Normalized Transition-Based Neural Networks. In Proceedings of the 54th Annual Meeting of the Assoc. for Computat. Linguistics . ACL, Berlin, Germany, 2442–2452
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins. 2016 · 2016
Earlier work this paper cites.
PROTEST: A Test Suite for Evaluating Pronouns in Machine Translation. In Proceedings of the 10th International Conference on Language Resources and Evaluation , Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.). ELRA, Portorož, Slovenia, 636–643
Liane Guillou and Christian Hardmeier. 2016 · 2016
Earlier work this paper cites.
Deep Residual Learning for Image Recognition. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition . Las Vegas, NV, USA, 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
The Great A.I. Awakening
Gideon Lewis-Kraus. 2016 · 2016
Cited alongside, same era.
OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation , Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.). ELRA, Portorož, Slovenia, 923–929
Pierre Lison and Jörg Tiedemann. 2016 · 2016
Cited alongside, same era.
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. In Proceedings of the 33rd International Conference on Machine Learning , Maria Florina Balcan and Kilian Q. Weinberger (Eds.), Vol. 48. PMLR, New York, NY, USA, 1614–1623
André F. T. Martins and Ramón Astudillo. 2016 · 2016
Cited alongside, same era.
An Infusion of AI Makes Google Translate More Powerful Than Ever
Cade Metz. 2016 · 2016
Cited alongside, same era.
Linguistic Evaluation of German-English Machine Translation Using a Test Suite. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 445–454
Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, and Hans Uszkoreit. 2019 · 2019
Closest in time.
Findings of the 2019 Conference on Machine Translation (WMT19). In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 1–61
Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, and Marcos Zampieri. 2019 · 2019
Closest in time.
On the use of BERT for Neural Machine Translation. In Proceedings of the 3rd Workshop on Neural Generation and Translation . ACL, Hong Kong, China, 108–117
Stephane Clinchant, Kweon Woo Jung, and Vassilina Nikoulina. 2019 · 2019
Closest in time.
Cross-lingual Language Model Pretraining
Alexis Conneau and Guillaume Lample. 2019 · 2019
Closest in time.
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Minimum Risk Training for Neural Machine Translation. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics . ACL, Berlin, Germany, 1683–1692
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016
Cited alongside, same era.
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, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
Cited alongside, same era.
Hierarchical Attention Networks for Document Classification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . ACL, San Diego, CA, USA, 1480–1489
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation
Eva Martínez Garcia, Carles Creus, Cristina España-Bonet, and Lluís Màrquez. 2017 · 2017
Cited alongside, same era.
Does Neural Machine Translation Benefit from Larger Context?
Sebastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho. 2017 · 2017
Cited alongside, same era.
Dynamic Entity Representations in Neural Language Models. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . ACL, Copenhagen, Denmark, 1830–1839
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, and Noah A. Smith. 2017 · 2017
Cited alongside, same era.
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, Macduff Hughes, and Jeffrey Dean. 2017 · 2017
Cited alongside, same era.
Discourse Structure in Machine Translation Evaluation
Shafiq Joty, Francisco Guzmán, Lluís Màrquez, and Preslav Nakov. 2017 · 2017
Cited alongside, same era.
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . ACL, Florence, Italy, 2978–2988
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, and Ruslan Salakhutdinov. 2019 · 2019
Closest in time.
Universal Transformers. In Proceedings of the 6th International Conference on Learning Representations
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, and Lukasz Kaiser. 2019 · 2019
Closest in time.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . ACL, Minneapolis, MN, USA, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Closest in time.
Pre-trained language model representations for language generation. In Proceedings of the 2019 Conference of the North Amer. Chapter of the Assoc. for Computational Linguistics: Human Language Technologies . ACL, Minneapolis, MN, USA, 4052–4059
Sergey Edunov, Alexei Baevski, and Michael Auli. 2019 · 2019
Closest in time.
UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 183–190
Cristina España-Bonet and Dana Ruiter. 2019 · 2019
Closest in time.
Findings of the 3rd Workshop on Neural Generation and Translation. In Proceedings of the 3rd Workshop on Neural Generation and Translation . ACL, Hong Kong, 1–14
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh-Thang Luong, Graham Neubig, and Katsuhito Sudoh. 2019 · 2019
Closest in time.
Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 225–233
Marcin Junczys-Dowmunt. 2019 · 2019
Closest in time.
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing . ACL, Hong Kong, China, 2957–2966
Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, and Preslav Nakov. 2019 · 2019
Closest in time.
When and Why is Document-level Context Useful in Neural Machine Translation?. In Proceedings of the 4th Workshop on Discourse in Machine Translation . ACL, Hong Kong, China, 24–34
Yunsu Kim, Duc Thanh Tran, and Hermann Ney. 2019 · 2019
Closest in time.
Using Whole Document Context in Neural Machine Translation. In Proceedings of the 16th International Workshop on Spoken Language Translation . Hong Kong, China
Valentin Macé and Christophe Servan. 2019 · 2019
Closest in time.
Context-Aware Neural Machine Translation Decoding. In Proceedings of the 4th Workshop on Discourse in Machine Translation . ACL, Hong Kong, China, 13–23
Eva Martínez Garcia, Carles Creus, and Cristina España-Bonet. 2019 · 2019
Closest in time.
Document-wide Neural Machine Translation
Sameen Maruf. 2019 · 2019
Closest in time.
Monash University’s Submissions to the WNGT 2019 Document Translation Task. In Proceedings of the 3rd Workshop on Neural Generation and Translation . ACL, Hong Kong, China, 256–261
Sameen Maruf and Gholamreza Haffari. 2019 · 2019
Closest in time.
Selective Attention for Context-aware Neural Machine Translation. In Proceedings of the 2019 Conf. of the North Amer. Chapter of the Assoc. for Computat. Linguistics: Human Language Technologies . ACL, Minneapolis, MN, USA, 3092–3102
Sameen Maruf, André F. T. Martins, and Gholamreza Haffari. 2019 · 2019
Closest in time.
English-Czech Systems in WMT19: Document-Level Transformer. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 342–348
Martin Popel, Dominik Macháček, Michal Auersperger, Ondřej Bojar, and Pavel Pecina. 2019 · 2019
Closest in time.
Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 464–469
Maja Popović. 2019 · 2019
Closest in time.
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 470–480
Alessandro Raganato, Yves Scherrer, and Jörg Tiedemann. 2019 · 2019
Closest in time.
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 455–463
Kateřina Rysová, Magdaléna Rysová, Tomáš Musil, Lucie Poláková, and Ondřej Bojar. 2019 · 2019
Closest in time.
Naver Labs Europe’s Systems for the Document-Level Generation and Translation Task at WNGT 2019. In Proceedings of the 3rd Workshop on Neural Generation and Translation . ACL, Hong Kong, 273–279
Fahimeh Saleh, Alexandre Berard, Ioan Calapodescu, and Laurent Besacier. 2019 · 2019
Closest in time.
Analysing concatenation approaches to document-level NMT in two different domains. In Proceedings of the 4th Workshop on Discourse in Machine Translation . ACL, Hong Kong, China, 51–61
Yves Scherrer, Jörg Tiedemann, and Sharid Loáiciga. 2019 · 2019
Closest in time.
MASS: Masked Sequence to Sequence Pre-training for Language Generation. In Proceedings of the 36th International Conference on Machine Learning , Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.), Vol. 97. PMLR, Long Beach, CA, USA, 5926–5936
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 2019
Closest in time.
CUED@WMT19:EWC&LMs. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 364–373
Felix Stahlberg, Danielle Saunders, Adrià de Gispert, and Bill Byrne. 2019 · 2019
Closest in time.
The University of Helsinki Submissions to the WMT19 News Translation Task. In Proceedings of the 4th Conf. on Mach. Translation . ACL, Florence, Italy, 412–423
Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, and Jörg Tiedemann. 2019 · 2019
Closest in time.
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing . ACL, Hong Kong, China, 1576–1585
Xin Tan, Longyin Zhang, Deyi Xiong, and Guodong Zhou. 2019 · 2019
Closest in time.
Context-Aware Monolingual Repair for Neural Machine Translation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing . ACL, Hong Kong, China, 877–886
Elena Voita, Rico Sennrich, and Ivan Titov. 2019a · 2019
Closest in time.
SAO WMT19 Test Suite: Machine Translation of Audit Reports. In Proceedings of the 4th Conference on Machine Translation . ACL, Florence, Italy, 481–493
Tereza Vojtěchová, Michal Novák, Miloš Klouček, and Ondřej Bojar. 2019 · 2019
Closest in time.
Modeling Coherence for Discourse Neural Machine Translation. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence . AAAI, Honolulu, HI, USA
Hao Xiong, Zhongjun He, Hua Wu, and Haifeng Wang. 2019 · 2019
Closest in time.
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing . ACL, Hong Kong, China, 1527–1537
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, and Jie Zhou. 2019 · 2019
Closest in time.
How to evaluate machine translation: A review of automated and human metrics
Eirini Chatzikoumi. 2020 · 2020
Closest in time.
Modeling Discourse Structure for Document-level Neural Machine Translation. In Proceedings of the 1st Workshop on Automatic Simultaneous Translation . ACL, Seattle, WA, USA, 30–36
Junxuan Chen, Xiang Li, Jiarui Zhang, Chulun Zhou, Jianwei Cui, Bin Wang, and Jinsong Su. 2020 · 2020
Closest in time.
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . ACL, Online, 7871–7880
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Closest in time.
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Assoc. for Computational Linguistics . ACL, Online, 3512–3518
Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, and Changliang Li. 2020 · 2020
Closest in time.
Corpora for Document-Level Neural Machine Translation. In Proceedings of the 12th Language Resources and Evaluation Conference . ELRA, Marseille, France, 3775–3781
Siyou Liu and Xiaojun Zhang. 2020 · 2020
Closest in time.
A Simple and Effective Unified Encoder for Document-Level Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . ACL, Online, 3505–3511
Shuming Ma, Dongdong Zhang, and Ming Zhou. 2020 · 2020
Closest in time.
Using Context in Neural Machine Translation Training Objectives. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . ACL, Online, 7764–7770
Danielle Saunders, Felix Stahlberg, and Bill Byrne. 2020 · 2020
Closest in time.
Neural Machine Translation: A Review
Felix Stahlberg. 2020 · 2020
Closest in time.
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . ACL, Online, 5971–5978
KayYen Wong, Sameen Maruf, and Gholamreza Haffari. 2020 · 2020
Closest in time.
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. In Proceedings of the 29th Internat. Joint Conf. on Artificial Intelligence , Christian Bessiere (Ed.). IJCAI Organization, 3933–3940
Hongfei Xu, Deyi Xiong, Josef van Genabith, and Qiuhui Liu. 2020 · 2020
Closest in time.
Better Document-Level Machine Translation with Bayes’ Rule
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, and Chris Dyer. 2020 · 2020
Closest in time.
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding. In Proceedings of the 34nd AAAI Conference on Artificial Intelligence . AAAI, New York, NY, USA, 9498–9506
Hyeongu Yun, Yongkeun Hwang, and Kyomin Jung. 2020 · 2020
Closest in time.
BERTScore: Evaluating Text Generation with BERT. In Proceedings of the 8th International Conference on Learning Representations
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Closest in time.
Towards Making the Most of Context in Neural Machine Translation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence , Christian Bessiere (Ed.). IJCAI Organization, 3983–3989
Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, and Alexandra Birch. 2020 · 2020
Closest in time.
Self-Attention with Relative Position Representations. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . ACL, New Orleans, Louisiana, 464–468
Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani. 2018 · 2074
Closest in time.