Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual online dictionaries, and WordNet
Yükleniyor...
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, a model is proposed to determine synonymy by incorporating several resources. The model extracts the features from monolingual online dictionaries, a bilingual online dictionary, WordNet and a monolingual Turkish corpus. Once it has built a candidate list, it determines the synonymy for a given word by means of those features. All these resources and the approaches are evaluated. Taking all features into account and applying machine learning algorithms, the model shows good performance of F-Measure with 81.4%. The study contributes to the literature by integrating several resources and attempting the first corpus-driven synonym detection system for Turkish.
Açıklama
Anahtar Kelimeler
Synonym, dependency relations, corpus-based statistics
Kaynak
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
WoS Q Değeri
Q4
Scopus Q Değeri
Q4
