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Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation

  • ,
  • Preslav Nakov
    ,
  • Sara Stymne
    ,
  • Jörg Tiedemann
    ,
  • Yannick Versley
    ,
  • Mauro Cettolo
  • Uppsala University
    ,
  • Qatar Computing Research institute
    ,
  • Heidelberg University 
    ,
  • Fondazione Bruno Kessler
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 21/09/2015

Publication status

Published - 21/09/2015
978-1-941643-32-7

Publication IDs

  • ORCID: /0000-0002-6103-7275/work/106363211

Host publication title

Proceedings of the Second Workshop on Discourse in Machine Translation

Abstract

We describe the design, the evaluation setup, and the results of the DiscoMT 2015 shared task, which included two sub-tasks, relevant to both the machine translation (MT) and the discourse communities: (i) pronoun-focused translation, a practical MT task, and (ii) cross-lingual pronoun prediction, a classification task that requires no specific MT expertise and is interesting as a machine learning task in its own right. We focused on the English–French language pair, for which MT output is generally of high quality, but has visible issues with pronoun translation due to differences in the pronoun systems of the two languages. Six groups participated in the pronoun-focused translation task and eight groups in the cross-lingual pronoun prediction task.