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dc.contributor.authorBenites de Azevedo e Souza, Fernando-
dc.contributor.authorDuivesteijn, Gilbert François-
dc.contributor.authorvon Däniken, Pius-
dc.contributor.authorCieliebak, Mark-
dc.date.accessioned2020-05-29T13:45:12Z-
dc.date.available2020-05-29T13:45:12Z-
dc.date.issued2020-05-
dc.identifier.urihttps://aclanthology.org/2020.lrec-1.399/de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20082-
dc.description.abstractTransliteration is the process of expressing a proper name from a source language in the characters of a target language (e.g. from Cyrillic to Latin characters). We present TRANSLIT, a large-scale corpus with approx. 1.6 million entries in more than 180 languages with about 3 million variations of person and geolocation names. The corpus is based on various public data sources, which have been transformed into a unified format to simplify their usage, plus a newly compiled dataset from Wikipedia. In addition, we apply several machine learning methods to establish baselines for automatically detecting transliterated names in various languages. Our best systems achieve an accuracy of 92\% on identification of transliterated pairs.de_CH
dc.language.isoende_CH
dc.publisherEuropean Language Resources Associationde_CH
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/de_CH
dc.subjectTransliterationde_CH
dc.subjectNatural language processingde_CH
dc.subjectMulti-lingual entitiesde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleTRANSLIT : a large-scale name transliteration resourcede_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.21256/zhaw-20082-
zhaw.conference.details12th Language Resources and Evaluation Conference (LREC), Marseille, France, 11-16 May 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end3271de_CH
zhaw.pages.start3265de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)de_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.funding.zhawLibra: A One-Tool Solution for MLD4 Compliancede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Benites de Azevedo e Souza, F., Duivesteijn, G. F., von Däniken, P., & Cieliebak, M. (2020). TRANSLIT : a large-scale name transliteration resource [Conference paper]. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 3265–3271. https://doi.org/10.21256/zhaw-20082
Benites de Azevedo e Souza, F. et al. (2020) ‘TRANSLIT : a large-scale name transliteration resource’, in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, pp. 3265–3271. Available at: https://doi.org/10.21256/zhaw-20082.
F. Benites de Azevedo e Souza, G. F. Duivesteijn, P. von Däniken, and M. Cieliebak, “TRANSLIT : a large-scale name transliteration resource,” in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, pp. 3265–3271. doi: 10.21256/zhaw-20082.
BENITES DE AZEVEDO E SOUZA, Fernando, Gilbert François DUIVESTEIJN, Pius VON DÄNIKEN und Mark CIELIEBAK, 2020. TRANSLIT : a large-scale name transliteration resource. In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) [online]. Conference paper. European Language Resources Association. Mai 2020. S. 3265–3271. Verfügbar unter: https://aclanthology.org/2020.lrec-1.399/
Benites de Azevedo e Souza, Fernando, Gilbert François Duivesteijn, Pius von Däniken, and Mark Cieliebak. 2020. “TRANSLIT : A Large-Scale Name Transliteration Resource.” Conference paper. In Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 3265–71. European Language Resources Association. https://doi.org/10.21256/zhaw-20082.
Benites de Azevedo e Souza, Fernando, et al. “TRANSLIT : A Large-Scale Name Transliteration Resource.” Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association, 2020, pp. 3265–71, https://doi.org/10.21256/zhaw-20082.


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