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dc.contributor.authorPopovic, Maja
dc.contributor.authorArcan, Mihael
dc.contributor.authorKlubicka, Filip
dc.date.accessioned2019-01-30T14:31:00Z
dc.date.available2019-01-30T14:31:00Z
dc.date.issued2016-12-12
dc.identifier.citationPopovic, Maja, Arcan, Mihael, & Klubicka, Filip. (2016). Language related issues for machine translation between closely related South Slavic languages. Paper presented at the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial-3), Osaka, Japan, 12 December.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/14887
dc.description.abstractMachine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be addressed in order to improve such systems. This work explores the obstacles for machine translation systems between closely related South Slavic languages, namely Croatian, Serbian and Slovenian. Statistical systems for all language pairs and translation directions are trained using parallel texts from different domains, however mainly on spoken language i.e. subtitles. For translation between Serbian and Croatian, a rule-based system is also explored. It is shown that for all language pairs and for both translation systems, the main obstacles are the differences between syntactic properties.en_IE
dc.description.sponsorshipThis work has emerged from research supported by TRAMOOC project (Translation for Massive Open Online Courses) partially funded by the European Commission under H2020-ICT-2014/H2020-ICT2014-1 under grant agreement number 644333 and by the Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight). The research leading to these results has also received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement PIAP-GA2012-324414 (Abu-MaTran) and the Swiss National Science Foundation grant IZ74Z0 160501 (ReLDI).en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherThe COLING 2016 Organizing Committeeen_IE
dc.relation.ispartofThird Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial-3)en
dc.subjectLanguageen_IE
dc.subjectMachine translationen_IE
dc.subjectSouth Slavic languagesen_IE
dc.titleLanguage related issues for machine translation between closely related south Slavic languagesen_IE
dc.typeConference Paperen_IE
dc.date.updated2019-01-23T17:37:37Z
dc.local.publishedsourcehttps://aclanthology.info/papers/W16-4806/w16-4806en_IE
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderSeventh Framework Programmeen_IE
dc.contributor.funderSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschungen_IE
dc.internal.rssid13192052
dc.local.contactMihael Arcan. Email: mihael.arcan@insight-centre.org
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::IA/644333/EU/Translation for Massive Open Online Courses/TraMOOCen_IE
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/FP7::SP3::PEOPLE/324414/EU/Automatic building of Machine Translation/ABU-MATRANen_IE
dcterms.projectinfo:eu-repo/grantAgreement/SNSF/Programmes::SCOPES/IZ74Z0_160501/CH/Regional Linguistic Data Initiative/en_IE
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