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Semi-automatic UNL dictionary generation using WordNet.PT

  • University of Lisbon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The increase of Internet users all over the world and the subsequent growth of available multilingual information on the Web have brought new challenges to machine translation systems. The Universal Networking Language (UNL) is a meta-language developed for conveying linguistic expressions in order to encode websites information into a standard representation. In order to integrate Portuguese into this platform it is necessary to develop both a dictionary and a grammar. This paper focuses on the development of a PT-UNL dictionary using the WordNet.PT knowledge base. UNL makes use of lexical-semantic relations that have some correspondence in WordNet.PT. Since building the dictionary is a very time-consuming task, a semi-automatic process to generate it has been developed and is described here. The reuse of manually built lexical resources is of great relevance both for the economy of the project and for the reliability of the results.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004
EditorsMaria Francisca Xavier, Rute Costa, Fatima Ferreira, Maria Teresa Lino, Raquel Silva
PublisherEuropean Language Resources Association (ELRA)
Pages279-282
Number of pages4
ISBN (Electronic)2951740816, 9782951740815
StatePublished - 2004
Event4th International Conference on Language Resources and Evaluation, LREC 2004 - Lisbon, Portugal
Duration: May 26 2004May 28 2004

Publication series

NameProceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004

Conference

Conference4th International Conference on Language Resources and Evaluation, LREC 2004
Country/TerritoryPortugal
CityLisbon
Period05/26/0405/28/04

Keywords

  • Inheritance
  • Lexical-semantic relations
  • Linguistic knowledge base
  • Universal concepts/words

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