Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Qatar Computing Research Institute.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Show others and affiliations
2015 (English)In: Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT), Stroudsburg, PA: Association for Computational Linguistics, 2015, 1-16 p.Conference paper, Published paper (Other academic)
Abstract [en]

We describe the design, the evaluation setup, and the results of the DiscoMT 2015 shared task, which included two subtasks, 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.

Place, publisher, year, edition, pages
Stroudsburg, PA: Association for Computational Linguistics, 2015. 1-16 p.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-262364ISBN: 978-1-941643-32-7 (print)OAI: oai:DiVA.org:uu-262364DiVA: diva2:853680
Conference
Second Workshop on Discourse in Machine Translation (DiscoMT), 17 September 2015, Lisbon, Portugal
Available from: 2015-09-14 Created: 2015-09-14 Last updated: 2015-09-23Bibliographically approved

Open Access in DiVA

DiscoMTSharedTask(290 kB)111 downloads
File information
File name FULLTEXT01.pdfFile size 290 kBChecksum SHA-512
45c73c19e15f86030935642651a0e424a8819c817521aecabb48764590f1910a5c79e2a5681c7497191269114fdeeb43919a514e3e7163aca21fb944c1685748
Type fulltextMimetype application/pdf

Other links

Proceedings of the Workshop

Search in DiVA

By author/editor
Hardmeier, ChristianStymne, SaraTiedemann, Jörg
By organisation
Department of Linguistics and Philology
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
Total: 111 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 844 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf