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Pre- and Postprocessing for Statistical Machine Translation into Germanic Languages
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
2011 (English)In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, student session. / [ed] Sasa Petrovic, Ethan Selfridge, Emily Pitler, Miles Osborne, Thamar Solorio, Association for Computational Linguistics, 2011, 12-17 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this thesis proposal I present my thesis work, about pre- and postprocessing for statistical machine translation, mainly into Germanic languages. I focus my work on four areas: compounding, definite noun phrases, reordering, and error correction. Initial results are positive within all four areas, and there are promising possibilities for extending these approaches. In addition I also focus on methods for performing thorough error analysis of machine translation output, which can both motivate and evaluate the studies performed.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2011. 12-17 p.
Keyword [en]
Machine translation, preprocessing, postprocessing, Germanic languages
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics) Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-70124ISBN: 978-1-932432-89-3 (print)OAI: oai:DiVA.org:liu-70124DiVA: diva2:435685
Conference
The Association for Computational Linguistics: Human Language Technologies, student session.
Available from: 2011-08-19 Created: 2011-08-19 Last updated: 2015-05-28

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http://aclweb.org/anthology-new/P/P11/P11-3003.pdf

Authority records BETA

Stymne, Sara

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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