Yıldız, TuğbaDiri, BanuYıldırım, Savaş2024-07-182024-07-1820171300-06321300-0632https://search.trdizin.gov.tr/yayin/detay/248268https://hdl.handle.net/11411/5930In 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.eninfo:eu-repo/semantics/openAccessArticle760275224826825