dc.contributor.author | Chakravarthi, Bharathi Raja | |
dc.contributor.author | Arcan, Mihael | |
dc.contributor.author | McCrae, John P. | |
dc.date.accessioned | 2019-09-10T11:32:24Z | |
dc.date.available | 2019-09-10T11:32:24Z | |
dc.date.issued | 2019-08-19 | |
dc.identifier.citation | Chakravarthi, 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.uri | http://hdl.handle.net/10379/15416 | |
dc.description.abstract | In 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 precision | en_IE |
dc.description.sponsorship | This 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.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | European Association for Machine Translation | en_IE |
dc.relation.ispartof | Proceedings of the Second Workshop on Multilingualism at the Intersection of Knowledge Bases and Machine Translation | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | WordNet Gloss | en_IE |
dc.subject | Translation | en_IE |
dc.subject | Under-resourced Languages | en_IE |
dc.subject | Multilingual Neural Machine Translation | en_IE |
dc.title | WordNet gloss translation for under-resourced languages using multilingual neural machine translation | en_IE |
dc.type | Workshop paper | en_IE |
dc.date.updated | 2019-08-29T08:14:38Z | |
dc.local.publishedsource | https://moment2019.insight-centre.org/wp-content/uploads/2019/08/705d57_6ffdbe9400a34f50b8c30c1c05068f72.pdf | en_IE |
dc.description.peer-reviewed | non-peer-reviewed | |
dc.contributor.funder | Spanish Ministry of Economy and Competitiveness | en_IE |
dc.contributor.funder | Fundación BBVA | en_IE |
dc.internal.rssid | 17436604 | |
dc.local.contact | Bharathi Raja Asoka Chakravarthi, Insight Centre For Data Analytics, National University Of Ireland Galway . Email: b.asokachakravarthi1@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | ACCEPTED | |
nui.item.downloads | 141 | |