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dc.contributor.authorArcan, Mihael
dc.contributor.authorThomas, Susan Marie
dc.contributor.authorDe Brandt, Derek
dc.contributor.authorBuitelaar, Paul
dc.identifier.citationArcan, Mihael, Thomas, Susan Marie, De Brandt, Derek, & Buitelaar, Paul. (2013). Translating the FINREP taxonomy using a domain-specific corpus. Paper presented at the 14th Machine Translation Summit XIV, Nice, France, 02-0 6 September.en_IE
dc.description.abstractOur research investigates the use of statistical machine translation (SMT) to translate the labels of concepts in an XBRL taxonomy. Often taxonomy concepts are given labels in only one language. To enable knowledge access across languages, such monolingual taxonomies need to be translated into other languages. The primary challenge in label translation is the highly domain-specific vocabulary. To meet this challenge we adopted an approach based on the creation of domainspecific resources. Application of this approach to the translation of the FINREP taxonomy, translating from English to German, showed that it significantly outperforms SMT trained on general resources.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 and by the European Union under Grant No. 248458 for the Monnet project.en_IE
dc.publisherIAMT and EAMT
dc.relation.ispartofMachine Translation Summit XIVen
dc.subjectFINREP taxonomyen_IE
dc.titleTranslating the FINREP taxonomy using a domain-specific corpusen_IE
dc.typeConference Paperen_IE
dc.contributor.funderScience Foundation Ireland
dc.contributor.funderSeventh Framework Programme
dc.local.contactMihael Arcan. Email:
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/
dcterms.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::ICT/248458/EU/Multilingual Ontologies for Networked Knowledge/MONNET

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