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NUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inference

dc.contributor.authorMcCrae, John P.
dc.contributor.authorArcan, Mihael
dc.date.accessioned2020-07-08T08:13:50Z
dc.date.available2020-07-08T08:13:50Z
dc.date.issued2020-05-11
dc.identifier.citationMcCrae, John P., & Arcan, Mihael. (2020). NUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inference. Paper presented at the Language Resources and Evaluation Conference (LREC 2020) Globalex Workshop on Linked Lexicography, Marseille, 11-16 May.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/16057
dc.description.abstractIn this paper, we present the NUIG system at the TIAD shard task. This system includes graph-based metrics calculated using novel algorithms, with an unsupervised document embedding tool called ONETA and an unsupervised multi-way neural machine translation method. The results are an improvement over our previous system and produce the highest precision among all systems in the task as well as very competitive F-Measure results. Incorporating features from other systems should be easy in the framework we describe in this paper, suggesting this could very easily be extended to an even stronger result.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 P2, co-funded by the European Regional Development Fund, as well as by the H2020 project Pret- ˆ a-LLOD under Grant Agreement ` number 825182.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherEuropean Language Resources Association (ELRA)en_IE
dc.relation.ispartofProceedings of the 2020 Globalex Workshop on Linked Lexicographyen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjecttranslation inferenceen_IE
dc.subjectmachine translationen_IE
dc.subjectmultiway translationen_IE
dc.subjectdocument embeddingsen_IE
dc.titleNUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inferenceen_IE
dc.typeWorkshop paperen_IE
dc.date.updated2020-06-26T10:33:43Z
dc.local.publishedsourcehttps://www.aclweb.org/anthology/2020.globalex-1.15en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderEuropean Regional Development Funden_IE
dc.contributor.funderHorizon 2020en_IE
dc.internal.rssid21598936
dc.local.contactMihael Arcan. Email: mihael.arcan@insight-centre.org
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
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/825182/EU/Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors/Pret-a-LLODen_IE
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland