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Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
2013 (English)In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, Association for Computational Linguistics, 2013, 193-198 p.Conference paper, Published paper (Refereed)
Abstract [en]

We describe Docent, an open-source decoder for statistical machine translation that breaks with the usual sentence-by-sentence paradigm and translates complete documents as units. By taking translation to the document level, our decoder can handle feature models with arbitrary discourse-wide dependencies and constitutes an essential infrastructure component in the quest for discourse-aware SMT models.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2013. 193-198 p.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-207690OAI: oai:DiVA.org:uu-207690DiVA: diva2:649088
Conference
ACL 2013 (51st Annual Meeting of the Association for Computational Linguistics); 4-9 August 2013; Sofia, Bulgaria
Available from: 2013-09-17 Created: 2013-09-17 Last updated: 2013-09-18Bibliographically approved

Open Access in DiVA

ACL2013Demo(364 kB)293 downloads
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File name FULLTEXT01.pdfFile size 364 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

Other links

http://www.aclweb.org/anthology/P13-4033Conference website

Authority records BETA

Hardmeier, ChristianStymne, SaraTiedemann, JörgNivre, Joakim

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association
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  • 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
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