Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual online dictionaries, and WordNet

被引：3

作者：

Yildiz, Tugba ^{[1
]}

Diri, Banu ^{[2
]}

Yildirim, Savas ^{[1
]}

机构：

[1] Istanbul Bilgi Univ, Fac Engn & Nat Sci, Dept Comp Engn, Istanbul, Turkey

[2] Yildiz Tech Univ, Fac Engn, Dept Comp Engn, Istanbul, Turkey

来源：

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES | 2017年 / 25卷 / 02期

关键词：

Synonym; dependency relations; corpus-based statistics; ACQUISITION;

D O I：

10.3906/elk-1508-89

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：752 / 760

页数：9