Neural machine translation for cross-lingual pronoun prediction

Sebastien Jean, Stanislas Lauly, Orhan Firat, Kyunghyun Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present our systems for the DiscoMT 2017 cross-lingual pronoun prediction shared task. For all four language pairs, we trained a standard attention-based neural machine translation system as well as three variants that incorporate information from the preceding source sentence. We show that our systems, which are not specifically designed for pronoun prediction and may be used to generate complete sentence translations, generally achieve competitive results on this task.

Original languageEnglish (US)
Title of host publicationDiscoMT 2017 - Discourse in Machine Translation, Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages54-57
Number of pages4
ISBN (Electronic)9781945626876
StatePublished - 2017
Event3rd Workshop on Discourse in Machine Translation, DiscoMT 2017, held in conjunction with EMNLP 2017 - Copenhagen, Denmark
Duration: Sep 8 2017 → …

Publication series

NameDiscoMT 2017 - Discourse in Machine Translation, Proceedings of the Workshop

Conference

Conference3rd Workshop on Discourse in Machine Translation, DiscoMT 2017, held in conjunction with EMNLP 2017
Country/TerritoryDenmark
CityCopenhagen
Period9/8/17 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Software

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