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dc.contributor.authorRuiz Costa-Jussà, Marta
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-05-23T07:58:13Z
dc.date.available2017-05-23T07:58:13Z
dc.date.issued2015-11-01
dc.identifier.citationRuiz, M. Domain adaptation strategies in statistical machine translation: a brief overview. "Knowledge engineering review", 1 Novembre 2015, vol. 30, núm. 5, p. 514-520.
dc.identifier.issn0269-8889
dc.identifier.urihttp://hdl.handle.net/2117/104733
dc.description© Cambridge University Press, 2015.
dc.description.abstractStatistical machine translation (SMT) is gaining interest given that it can easily be adapted to any pair of languages. One of the main challenges in SMT is domain adaptation because the performance in translation drops when testing conditions deviate from training conditions. Many research works are arising to face this challenge. Research is focused on trying to exploit all kinds of material, if available. This paper provides an overview of research, which copes with the domain adaptation challenge in SMT.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Ensenyament i aprenentatge
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshMachine translating
dc.titleDomain adaptation strategies in statistical machine translation: a brief overview
dc.typeArticle
dc.subject.lemacTraducció automàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.identifier.doi10.1017/S0269888915000119
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac17370651
dc.description.versionPostprint (author's final draft)
local.citation.authorRuiz, M.
local.citation.publicationNameKnowledge engineering review
local.citation.volume30
local.citation.number5
local.citation.startingPage514
local.citation.endingPage520


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