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The translation of pronouns presents a special challenge to machine translation to this day, since it often requires context outside the current sentence.
Modelling Pronominal Anaphora in Statistical Machine Translation
Christian Hardmeier and Marcello Federico. 2010 · 2010
Earlier work this paper cites.
A simple, fast, and effective reparameterization of ibm model 2
Chris Dyer, Victor Chahuneau, and Noah A. Smith. 2013 · 2013
Earlier work this paper cites.
Exploiting synergies between open resources for german dependency parsing, pos-tagging, and morphological analysis
Rico Sennrich, Martin Volk, and Gerold Schneider. 2013 · 2013
Earlier work this paper cites.
The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Pronoun-focused mt and cross-lingual pronoun prediction: Findings of the 2015 discomt shared task on pronoun translation
Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, and Mauro Cettolo. 2015 · 2015
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2015 · 2015
Earlier work this paper cites.
Incorporating Pronoun Function into Statistical Machine Translation
Liane Guillou. 2016 · 2016
Earlier work this paper cites.
Protest: A test suite for evaluating pronouns in machine translation
Liane Guillou and Christian Hardmeier. 2016 · 2016
Earlier work this paper cites.
Findings of the 2016 wmt shared task on cross-lingual pronoun prediction
Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, and Andrei Popescu-Belis. 2016 · 2016
Cited alongside, same era.
Opensubtitles2016: Extracting large parallel corpora from movie and tv subtitles
Pierre Lison and Jörg Tiedemann. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Incremental Coreference Resolution for German
Don Tuggener. 2016 · 2016
Cited alongside, same era.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017
Cited alongside, same era.
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, and Maria Nadejde. 2017 · 2017
Later among the works it cites.
Neural Machine Translation with Extended Context
Jörg Tiedemann and Yves Scherrer. 2017 · 2017
Later among the works it cites.
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
Later among the works it cites.
Exploiting Cross-Sentence Context for Neural Machine Translation
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. 2017 · 2017
Later among the works it cites.
Contextual Handling in Neural Machine Translation: Look Behind, Ahead and on Both Sides
Ruchit Agrawal, Marco Turchi, and Matteo Negri. 2018 · 2018
Closest in time.
Evaluating Discourse Phenomena in Neural Machine Translation
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Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, and Matt Post. 2017 · 2017
Cited alongside, same era.
A challenge set approach to evaluating machine translation
Pierre Isabelle, Colin Cherry, and George Foster. 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.
Neural machine translation for cross-lingual pronoun prediction
Sébastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho. 2017 · 2017
Cited alongside, same era.
Findings of the 2017 discomt shared task on cross-lingual pronoun prediction
Sharid Loáiciga, Sara Stymne, Preslav Nakov, Christian Hardmeier, Jörg Tiedemann, Mauro Cettolo, and Yannick Versley. 2017 · 2017
Cited alongside, same era.
Validation of an automatic metric for the accuracy of pronoun translation (apt)
Lesly Miculicich Werlen and Andrei Popescu-Belis. 2017 · 2017
Cited alongside, same era.
Rachel Bawden, Rico Sennrich, Alexandra Birch, and Barry Haddow. 2018 · 2018
Closest in time.
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point
Liane Guillou and Christian Hardmeier. 2018 · 2018
Closest in time.
Document context neural machine translation with memory networks
Sameen Maruf and Gholamreza Haffari. 2018 · 2018
Closest in time.
A call for clarity in reporting bleu scores
Matt Post. 2018 · 2018
Closest in time.
Context-Aware Neural Machine Translation Learns Anaphora Resolution
Elena Voita, Pavel Serdyukov, Rico Sennrich, and Ivan Titov. 2018 · 2018
Closest in time.