dc.contributor.author | Ojha, Atul Kr. | |
dc.contributor.author | Rani, Priya | |
dc.contributor.author | Bansal, Akanksha | |
dc.contributor.author | Chakravarthi, Bharathi Raja | |
dc.contributor.author | Kumar, Ritesh | |
dc.contributor.author | McCrae, John P. | |
dc.date.accessioned | 2020-12-08T15:52:41Z | |
dc.date.available | 2020-12-08T15:52:41Z | |
dc.date.issued | 2020-11-19 | |
dc.identifier.citation | Ojha, Atul Kr., Rani, Priya, Bansal, Akanksha, Chakravarthi, Bharathi Raja, Kumar, Ritesh, & McCrae, John P. (2020). NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020. Paper presented at the 5th Conference on Machine Translation (WMT20) Online, 19-20 November | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/16377 | |
dc.description.abstract | NUIG-Panlingua-KMI submission to WMT
2020 seeks to push the state-of-the-art in the
Similar language translation task for the Hindi
↔ Marathi language pair. As part of these efforts, we conducted a series of experiments
to address the challenges for translation between similar languages. Among the 4 MT
systems prepared for this task, 1 PBSMT systems were prepared for Hindi ↔ Marathi each
and 1 NMT systems were developed for Hindi
↔ Marathi using Byte Pair Encoding (BPE)
of subwords. The results show that different
architectures in NMT could be an effective
method for developing MT systems for closely
related languages. Our Hindi-Marathi NMT
system was ranked 8th among the 14 teams that
participated and our Marathi-Hindi NMT system was ranked 8th among the 11 teams participated for the task. | en_IE |
dc.description.sponsorship | This publication has emanated from research in part supported by the Irish Research Council under grant number SFI/18/CRT/6223 (CRT-Centre for Research Training in Artificial Intelligence) cofunded by the European Regional Development Fund as well as by the EU H2020 programme under grant agreements 731015 (ELEXIS-European Lexical Infrastructure). We are also grateful to the organizers of WMT Similar Translation Shared Task 2020 for providing us the Hindi↔Marathi Parallel Corpus, monolingual and evaluation scores. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Association for Computational Linguistics | en_IE |
dc.relation.ispartof | Proceedings of the Fifth Conference on 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 | WMT 2020 | en_IE |
dc.subject | NUIG-Panlingua-KMI Hindi-Marathi | en_IE |
dc.subject | MT Systems | en_IE |
dc.subject | Similar Language Translation Task | en_IE |
dc.title | NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020 | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2020-12-08T12:36:46Z | |
dc.local.publishedsource | https://www.aclweb.org/anthology/2020.wmt-1.49 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.contributor.funder | Irish Research Council | en_IE |
dc.contributor.funder | European Regional Development Fund | en_IE |
dc.contributor.funder | Horizon 2020 | en_IE |
dc.internal.rssid | 23760836 | |
dc.local.contact | Atul Kumar Ojha. Email: atulkumar.ojha@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
dcterms.project | info:eu-repo/grantAgreement/EC/H2020::RIA/731015/EU/European Lexicographic Infrastructure/ELEXIS | en_IE |
nui.item.downloads | 46 | |