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Experiments with word alignment, normalization and clause reordering for SMT between English and German
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
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 Sixth Workshop on Statistical Machine Translation (WMT 2011) / [ed] Chris Callison-Burch, Philipp Koehn, Christof Monz, Omar F. Zaidan, 2011, p. 393-398Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the LIU system for the WMT 2011 shared task for translation between German and English. For English– German we attempted to improve the translation tables with a combination of standard statistical word alignments and phrase-based word alignments. For German–English translation we tried to make the German text more similar to the English text by normalizing German morphology and performing rule-based clause reordering of the German text. This resulted in small improvements for both translation directions.

Place, publisher, year, edition, pages
2011. p. 393-398
Keywords [en]
Machine translation, word alignment, reordering, normalization
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics) Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-70129OAI: oai:DiVA.org:liu-70129DiVA, id: diva2:435715
Conference
The Sixth Workshop on Statistical Machine Translation (WMT 2011)
Available from: 2011-08-19 Created: 2011-08-19 Last updated: 2018-01-12

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http://aclweb.org/anthology-new/W/W11/W11-2147.pdf

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Holmqvist, MariaStymne, SaraAhrenberg, Lars
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  • apa
  • ieee
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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