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Discourse in Statistical Machine Translation: A Survey and a Case Study
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
2012 (English)In: Discours - Revue de linguistique, psycholinguistique et informatique, ISSN 1963-1723, E-ISSN 1963-1723, Vol. 11Article in journal (Refereed) Published
Abstract [en]

Current approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine translation that can be related to discourse phenomena and present a detailed investigation and discussion of existing research efforts on a particular discourse-related problem, the translation of anaphoric pronouns. Comparing different approaches to discourse in statistical machine translation allows us to identify fundamental problems and draw conclusions from an overarching perspective.

Place, publisher, year, edition, pages
Caen: Presses Universitaires de Caen, 2012. Vol. 11
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-207691DOI: 10.4000/discours.8726OAI: oai:DiVA.org:uu-207691DiVA: diva2:649082
Available from: 2013-09-17 Created: 2013-09-17 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

discours2012-11(447 kB)198 downloads
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File name FULLTEXT01.pdfFile size 447 kBChecksum SHA-512
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Publisher's full texthttp://discours.revues.org/8726

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Hardmeier, Christian

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CiteExportLink to record
Permanent link

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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
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