Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Automatic bilingual lexicon acquisition using random indexing of aligned bilingual data
RISE, Swedish ICT, SICS.
2004 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a very simple and effective approach to automatic bilingual lexicon acquisition. The approach is cooccurrence-based, and uses the Random Indexing vector space methodology applied to aligned bilingual data. The approach is simple, efficient and scalable, and generate promising results when compared to a manually compiled lexicon. The paper also discusses some of the methodological problems with the prefered evaluation procedure.

Place, publisher, year, edition, pages
2004, 1.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22357OAI: oai:DiVA.org:ri-22357DiVA: diva2:1041902
Conference
Fourth International conference on Language Resources and Evaluation (LREC 2004), 26-28 May 2004, Lisbon, Portugal
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-08-16Bibliographically approved

Open Access in DiVA

No full text

By organisation
SICS
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
v. 2.27.0