Translation paraphrases in phrase-based machine translation

Francisco Guzmán, Leonardo Garrido

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present an analysis of a phrase-based machine translation methodology that integrates paraphrases obtained from an intermediary language (French) for translations between Spanish and English. The purpose of the research presented in this document is to find out how much extra information (i.e. improvements in translation quality) can be found when using Translation Paraphrases (TPs). In this document we present an extensive statistical analysis to support conclusions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages388-398
Number of pages11
Volume4919 LNCS
DOIs
Publication statusPublished - 27 Aug 2008
Externally publishedYes
Event9th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2008 - Haifa, Israel
Duration: 17 Feb 200823 Feb 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4919 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2008
CountryIsrael
CityHaifa
Period17/2/0823/2/08

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Guzmán, F., & Garrido, L. (2008). Translation paraphrases in phrase-based machine translation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4919 LNCS, pp. 388-398). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4919 LNCS). https://doi.org/10.1007/978-3-540-78135-6_33