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Improving Pronoun Translation by Modeling Coreference Uncertainty

Authors: Ngoc Quang Luong; Andrei Popescu-Belis;

Improving Pronoun Translation by Modeling Coreference Uncertainty

Country
Switzerland
Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Pronoun Coreference business.industry Computer science Translation (geometry) computer.software_genre Linguistics Artificial intelligence business computer Natural language processing

18 references, page 1 of 2

Ondrej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, and Ales Tamchyna. 2014. Findings of the 2014 Workshop on Statistical Machine Translation. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 12-58, Baltimore, MD, USA.

Jimmy Callin, Christian Hardmeier, and Jo¨rg Tiedemann. 2015. Part-of-speech driven cross-lingual pronoun prediction with feed-forward neural networks. In Proceedings of the Second Workshop on Discourse in Machine Translation, pages 59-64, Lisbon, Portugal.

Mauro Cettolo, Christian Girardi, and Marcello Federico. 2012. Wit3: Web inventory of transcribed and translated talks. In Proceedings of the 16th Conference of the European Association for Machine Translation (EAMT), pages 261-268, Trento, Italy.

Grzegorz Chrupala, Georgiana Dinu, and Josef van Genabith. 2008. Learning morphology with Morfette. In Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC), Marrakech, Morocco. [OpenAIRE]

Liane Guillou. 2012. Improving pronoun translation for statistical machine translation. In Proceedings of EACL 2012 Student Research Workshop (13th Conference of the European Chapter of the ACL), pages 1-10, Avignon, France.

Liane Guillou. 2016. Incorporating Pronoun Function into Statistical Machine Translation. PhD thesis, University of Edinburgh, UK.

Najeh Hajlaoui and Andrei Popescu-Belis. 2013. Assessing the accuracy of discourse connective translations: Validation of an automatic metric. In Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), LNCS 7817, pages 236-247, Samos, Greece. Springer.

Christian Hardmeier and Marcello Federico. 2010. Modelling pronominal anaphora in statistical machine translation. In Proceedings of International Workshop on Spoken Language Translation (IWSLT), Paris, France. [OpenAIRE]

Christian Hardmeier, Preslav Nakov, Sara Stymne, Jo¨rg Tiedemann, Yannick Versley, and Mauro Cettolo. 2015. Pronoun-focused MT and cross-lingual pronoun prediction: Findings of the 2015 DiscoMT shared task on pronoun translation. In Proceedings of the Second Workshop on Discourse in Machine Translation, pages 1-16, Lisbon, Portugal.

Christian Hardmeier. 2014. Discourse in Statistical Machine Translation. PhD thesis, Uppsala University, Sweden. [OpenAIRE]

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Average
Top 10%
Funded by
EC| SUMMA
Project
SUMMA
Scalable Understanding of Multilingual Media
  • Funder: European Commission (EC)
  • Project Code: 688139
  • Funding stream: H2020 | RIA
,
SNSF| MODERN: Modeling discourse entities and relations for coherent machine translation
Project
  • Funder: Swiss National Science Foundation (SNSF)
  • Project Code: 147653
  • Funding stream: Programmes | Sinergia
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