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dc.contributor.authorChakravarthi, Bharathi Raja
dc.contributor.authorArcan, Mihael
dc.contributor.authorMcCrae, John P.
dc.date.accessioned2019-09-10T11:32:24Z
dc.date.available2019-09-10T11:32:24Z
dc.date.issued2019-08-19
dc.identifier.citationChakravarthi, Bharathi Raja, Arcan, Mihael, & McCrae, John P. (2019). WordNet gloss translation for under-resourced languages using multilingual neural machine translation. Paper presented at the MomenT-2019 the Second Workshop on Multilingualism at the intersection of Knowledge Bases and Machine Translation (MomenT-2019 at MT Summit XVII), Dublin, Ireland, 19-23 August.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/15416
dc.description.abstractIn this paper, we translate the glosses in the English WordNet based on the expand approach for improving and generating wordnets with the help of multilingual neural machine translation. Neural Machine Translation (NMT) has recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. However, the performance of NMT often suffers from low resource scenarios where large corpora cannot be obtained. Using training data from closely related language have proven to be invaluable for improving performance. In this paper, we describe how we trained multilingual NMT from closely related language utilizing phonetic transcription for Dravidian languages. We report the evaluation result of the generated wordnets sense in terms of precision. By comparing to the recently proposed approach, we show improvement in terms of precisionen_IE
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) FPI grant number BES-2017-081045, and projects BigKnowledge (BBVA foundation grant 2018), DOMINO (PGC2018-102041-B-I00, MCIU/AEI/FEDER, UE) and PROSA-MED (TIN2016-77820-C3- 1-R, MCIU/AEI/FEDER, UE). We thank Uxoa Iñurrieta for helping us with the glosses.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherEuropean Association for Machine Translationen_IE
dc.relation.ispartofProceedings of the Second Workshop on Multilingualism at the Intersection of Knowledge Bases and Machine Translationen
dc.subjectWordNet Glossen_IE
dc.subjectTranslationen_IE
dc.subjectUnder-resourced Languagesen_IE
dc.subjectMultilingual Neural Machine Translationen_IE
dc.titleWordNet gloss translation for under-resourced languages using multilingual neural machine translationen_IE
dc.typeWorkshop paperen_IE
dc.date.updated2019-08-29T08:14:38Z
dc.local.publishedsourcehttps://moment2019.insight-centre.org/wp-content/uploads/2019/08/705d57_6ffdbe9400a34f50b8c30c1c05068f72.pdfen_IE
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funderSpanish Ministry of Economy and Competitivenessen_IE
dc.contributor.funderFundación BBVAen_IE
dc.internal.rssid17436604
dc.local.contactBharathi Raja Asoka Chakravarthi, Insight Centre For Data Analytics, National University Of Ireland Galway . Email: b.asokachakravarthi1@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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