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The impact of morphological errors in phrase-based statistical machine translation from German and English into Swedish
RISE, Swedish ICT, SICS. Userware.
Number of Authors: 1
2009 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We have investigated the potential for improvement in target language morphology when translating into Swedish from English and German, by measuring the errors made by a state of the art phrase-based statistical machine translation system. Our results show that there is indeed a performance gap to be filled by better modelling of inflectional morphology and compounding; and that the gap is not filled by simply feeding the translation system with more training data.

Place, publisher, year, edition, pages
Poznan, Poland, 2009, 8. 546-550 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-23614OAI: oai:DiVA.org:ri-23614DiVA: diva2:1042690
Conference
4th Language & Technology Conference
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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fulltext(121 kB)3 downloads
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File name FULLTEXT01.pdfFile size 121 kBChecksum SHA-512
5ac628b454d571a6a8c326e61e0187f84ca7f8ae6e40aff306041eb12b54fad1c0cad60a388b7347f7c3e1f7226538b7c2a32fb875a5051fb3e9711d25d17b4f
Type fulltextMimetype application/pdf

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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
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  • asciidoc
  • rtf