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The Impact of Part-of-Speech Filtering on Generation of a Swedish-Japanese Dictionary Using English as Pivot Language
Stockholms universitet, , Institutionen för data- och systemvetenskap.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2011 (English)In: 18th Nordic Conference of Computational Linguistics NODALIDA 2011, Riga, Latvia: Northern European Association for Language Technology (NEALT) , 2011Conference paper, Published paper (Refereed)
Abstract [en]

A common problem when combining two bilingual dictionaries to make a third, using one common language as a pivot language, is the emergence of false translations due to lexical ambiguity between words in the languages involved. This paper examines if the translation accuracy improves when using part-of-speech filtering of translation candidates. To examine this, two different Japanese-Swedish lexicons were created, one with part-of-speech filtering, one without. The results show 33%less translation candidates and a higher quality lexicon when using part-of-speech filtering. It also resulted in a free lexicon of Swedish translations to 40 716 Japanese entries with a 90% precision, and the conclusion that part-of-speech filtering is an easy way of improving the translation quality in this context.

Place, publisher, year, edition, pages
Riga, Latvia: Northern European Association for Language Technology (NEALT) , 2011.
National Category
Information Science
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-65073OAI: oai:DiVA.org:su-65073DiVA: diva2:460743
Available from: 2011-12-01 Created: 2011-12-01

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CiteExportLink to record
Permanent link

Direct link
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
  • rtf