Turkish synonym identi cation from multiple resources: monolingual corpus,mono/bilingual online dictionaries, and WordNe

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dc.contributor.authorYıldız, Tuğba
dc.contributor.authorDiri, Banu
dc.contributor.authorYıldırım, Savaş
dc.date.accessioned2024-07-18T20:07:21Z
dc.date.available2024-07-18T20:07:21Z
dc.date.issued2017
dc.departmentİstanbul Billgi Üniversitesien_US
dc.description.abstractIn this study, a model is proposed to determine synonymy by incorporating several resources. The modelextracts the features from monolingual online dictionaries, a bilingual online dictionary, WordNet, and a monolingualTurkish corpus. Once it has built a candidate list, it determines the synonymy for a given word by means of thosefeatures. All these resources and the approaches are evaluated. Taking all features into account and applying machinelearning algorithms, the model shows good performance of F-measure with 81.4%. The study contributes to the literatureby integrating several resources and attempting the rst corpus-driven synonym detection system for Turkish.en_US
dc.identifier.endpage760en_US
dc.identifier.issn1300-0632
dc.identifier.issn1300-0632
dc.identifier.issue2en_US
dc.identifier.startpage752en_US
dc.identifier.trdizinid248268en_US
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/248268
dc.identifier.urihttps://hdl.handle.net/11411/5930
dc.identifier.volume25en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleTurkish synonym identi cation from multiple resources: monolingual corpus,mono/bilingual online dictionaries, and WordNeen_US
dc.typeArticleen_US

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