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dc.contributor.authorArcan, Mihael
dc.contributor.authorPopovic, Maja
dc.contributor.authorBuitelaar, Paul
dc.identifier.citationArcan, Mihael, Popovic, Maja, & Buitelaar, Paul. (2016). Asistent -- a machine translation system for Slovene, Serbian and Croatian. Paper presented at the 10th Conference on Language Technologies and Digital Humanities, Ljubljana, Slovenia, 29 September - 01 October.en_IE
dc.description.abstractThe META-NET research on language technologies in 2012 showed a weak support on tools for crossing the language barrier for many European languages, including the south Slavic languages. Therefore, we describe a statistical machine translation system, called Asistent, which enables automatic translations between English, Slovene, Croatian and Serbian. In addition to make this system publicly accessible, we focus on parallel data preparation as well as on using multiple pivot languages for translation quality improvement of the targeted Slavic languages. A comparison of translations generated by the Asistent translation system shows a significant improvement of translation quality over Google Translate.en_IE
dc.description.sponsorshipThis publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 and the TRAMOOC project (Translation for Massive Open Online Courses), partially funded by the European Commission under H2020-ICT-2014/H2020-ICT-2014-1 under grant agreement number 644333.en_IE
dc.publisherUniversity of Ljubljanaen_IE
dc.relation.ispartofProceedings of the 10th Conference on Language Technologies and Digital Humanities, Ljubljana, Slovenia, Septemberen
dc.subjectMachine translationen_IE
dc.titleAsistent -- a machine translation system for Slovene, Serbian and Croatianen_IE
dc.typeConference Paperen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderHorizon 2020en_IE
dc.local.contactMihael Arcan. Email:
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en_IE
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::IA/644333/EU/Translation for Massive Open Online Courses/TraMOOCen_IE

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