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dc.contributor.authorArcan, Mihael
dc.contributor.authorTorregrosa, Daniel
dc.contributor.authorAhmadi, Sina
dc.contributor.authorMcCrae, John P.
dc.date.accessioned2019-04-26T10:42:19Z
dc.date.issued2019-05-20
dc.identifier.citationArcan, Mihael, Torregrosa, Daniel, Ahmadi, Sina, & McCrae, John P. (2019). Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation. Paper presented at the Translation Inference Across Dictionaries Workshop (TIAD 2019), Leipzig, Germany, 20-23 May, doi:10.13025/S89K9Jen_IE
dc.identifier.urihttp://hdl.handle.net/10379/15140
dc.description.abstractIn the widely-connected digital world, multilingual lexical resources are one of the most important resources, for natural language processing applications, including information retrieval, question answering or knowledge management. These applications benefit from the multilingual knowledge as well as from the semantic relation between the words documented in these resources. Since multilingual dictionary creation and curation is a time-consuming task, we explored the use of multi-way neural machine translation trained on corpora of languages from the same family and trained additionally with a relatively small human-validated dictionary to infer new translation candidates. Our results showed not only that new dictionary entries can be identified and extracted from the translation model, but also that the expected precision and recall of the resulting dictionary can be adjusted by using different thresholds.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.ispartofProceedings of the Translation Inference Across Dictionaries Workshop (TIAD 2019)en
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.titleInferring translation candidates for multilingual dictionary generation with multi-way neural machine translationen_IE
dc.typeConference Paperen_IE
dc.date.updated2019-04-24T10:18:15Z
dc.local.publishedsourcehttps://doi.org/10.13025/S89K9J
dc.description.peer-reviewedpeer-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.rssid16179702
dc.local.contactMihael Arcan. Email: mihael.arcan@insight-centre.org
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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