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dc.contributor.authorTorregrosa, Daniel
dc.contributor.authorArcan, Mihael
dc.contributor.authorAhmadi, Sina
dc.contributor.authorMcCrae, John P.
dc.date.accessioned2019-04-26T11:24:32Z
dc.date.available2019-04-26T11:24:32Z
dc.date.issued2019-04-20
dc.identifier.citationTorregrosa, Daniel, Arcan, Mihael, Ahmadi, Sina, & McCrae, John P. (2019). TIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation. Paper presented at the Translation Inference Across Dictionaries Workshop (TIAD 2019), Leipzig, Germany, 20-23 May, doi:10.13025/S8134Ben_IE
dc.identifier.urihttp://hdl.handle.net/10379/15141
dc.description.abstractThis paper describes the different proposed approaches to the TIAD 2019 Shared Task, which consisted in the automatic discovery and generation of dictionaries leveraging multilingual knowledge bases. We present three methods based on graph analysis and neural machine translation and show that we can generate translations without parallel data.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, co-funded by the European Regional Development Fund, and the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731015, ELEXIS - European Lexical Infrastructure.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherNational University of Ireland, Galwayen_IE
dc.relation.ispartofTranslation Inference Across Dictionariesen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectNeural machine translationen_IE
dc.subjectDictionary generationen_IE
dc.subjectAutomatic inferenceen_IE
dc.titleTIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generationen_IE
dc.typeConference Paperen_IE
dc.date.updated2019-04-24T10:58:44Z
dc.identifier.doi10.13025/S8134B
dc.local.publishedsourcehttps://doi.org/10.13025/S8134B
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderEuropean Regional Development Funden_IE
dc.contributor.funderHorizon 2020en_IE
dc.description.embargo2019-05-20
dc.internal.rssid16179713
dc.local.contactDaniel Torregrosa Rivero. Email: daniel.torregrosarivero@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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::RIA/731015/EU/European Lexicographic Infrastructure/ELEXISen_IE
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland