Automated Extraction of Semantic Word Relations in Turkish Lexicon

Mathematical and Computational Applications

Orhan, Zeynep¹ 

关键词: Turkish WordNet;    Semantic word relations;    NLP;   

DOI  :  10.3390/mca16010013

学科分类：计算数学

来源: mdpi

【 摘 要 】

This paper studies the extraction of semantic word relations found in Turkish lexicon. Main goal of the study is to build an effective lexical-conceptual database and contribute to natural language processing (NLP) studies in Turkish. Fundamental word relations to be studied are meronymy (part-whole), synonymy, antonymy and hypernymy (hierarchical). This study is an improvement of an earlier work [1] on semantic relations of Turkish lexicon. It was inspired by well known projects such as Rose [2], ThinkMap [3], and WordNet [4]. An online dictionary provided by Turkish Language Foundation (TDK) [5] is used as the corpus in this study. The dictionary contains more than 63K lexemes. Morphological analysis are done by using a tool called Zemberek [6]. The results are presented by means of obtained noun-pairs and their accuracy.

【 授权许可】

CC BY