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

Abstract

In 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.