Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/50082
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dc.contributor.authorCosta-jussà, Marta R-
dc.contributor.authorDaudaravičius, Vidas-
dc.contributor.authorBanchs, Rafael E-
dc.coverage.spatialES-
dc.date.accessioned2018-10-06T22:38:02Z-
dc.date.available2018-10-06T22:38:02Z-
dc.date.issued2010-
dc.identifier.issn11355948-
dc.identifier.otherVDU02-000009204-
dc.identifier.urihttps://hdl.handle.net/20.500.12259/50082-
dc.description.abstractThis report evaluates the impact of using a novel collocation segmentation method for phrase extraction in the standard phrase-based statistical machine translation approach.The collocation segmentation technique is implemented simultaneously in the source and target side. The resulting collocation segmentation is used to extract translation units. Experiments are reported in the Spanish-to-English EuroParl task and promising results are achieved in translation qualityen
dc.description.sponsorshipInformatikos fakultetas-
dc.description.sponsorshipSistemų analizės katedra-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 215-220-
dc.language.isoen-
dc.relation.ispartofProcesamiento del Lenguaje Natural. Barcelona : Sociedad Espanola para el Procesamiento del Lenguaje Natural, 2010, no. 45-
dc.subjectMachine translationen
dc.subjectTranslation systemen
dc.subjectCollocation segmentationen
dc.subject.otherInformatika / Informatics (N009)-
dc.titleUsing collocation segmentation to extract translation units in a phrase-based statistical machine translation systemen
dc.typeStraipsnis kituose recenzuojamuose leidiniuose / Article in other peer-reviewed editions (S5)-
dcterms.bibliographicCitation17-
dc.date.updated2010-12-10T11:35Z-
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local.typeS-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptVytauto Didžiojo universitetas-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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