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Intelligent translation memory matching and retrieval with sentence encoders

dc.contributor.authorRanasinghe, Tharindu
dc.contributor.authorOrasan, Constantin
dc.contributor.authorMitkov, Ruslan
dc.date.accessioned2022-03-18T11:44:05Z
dc.date.available2022-03-18T11:44:05Z
dc.date.issued2020-11-30
dc.identifier.citationRanasinghe, T., Orasan, C. and Mitkov, R. (2020) Intelligent Translation Memory Matching and Retrieval with Sentence Encoders. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pp. 175–184, Lisboa, Portugal. European Association for Machine Translation.en
dc.identifier.isbn9789893305898en
dc.identifier.urihttp://hdl.handle.net/2436/624657
dc.description© 2020 ACL. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://aclanthology.org/2020.eamt-1.19en
dc.description.abstractMatching and retrieving previously translated segments from a Translation Memory is the key functionality in Translation Memories systems. However this matching and retrieving process is still limited to algorithms based on edit distance which we have identified as a major drawback in Translation Memories systems. In this paper we introduce sentence encoders to improve the matching and retrieving process in Translation Memories systems - an effective and efficient solution to replace edit distance based algorithms.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherAssociation for Computational Linguisticsen
dc.relation.urlhttps://aclanthology.org/2020.eamt-1.19/en
dc.subjecttranslation memoriesen
dc.subjecttranslation memoryen
dc.titleIntelligent translation memory matching and retrieval with sentence encodersen
dc.typeConference contributionen
dc.identifier.journal22nd Annual Conference of the European Association for Machine Translationen
dc.date.updated2022-03-17T10:20:03Z
dc.conference.name22nd Annual Conference of the European Association for Machine Translation, EAMT2020
dc.conference.locationOnline, in place of Lisbon, Portugal
pubs.finish-date2020-11-05
pubs.start-date2020-11-03
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW18032022TRen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/3.0/en
rioxxterms.licenseref.startdate2022-03-18en
dc.source.beginpage175
dc.source.endpage184
dc.description.versionPublished version
refterms.dateFCD2022-03-18T11:43:48Z
refterms.versionFCDVoR
refterms.dateFOA2022-03-18T11:44:06Z


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