Automated Extraction of Semantic Word Relations in Turkish Lexicon
AbstractThis 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  on semantic relations of Turkish lexicon. It was inspired by well known projects such as Rose , ThinkMap , and WordNet . An online dictionary provided by Turkish Language Foundation (TDK)  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 . The results are presented by means of obtained noun-pairs and their accuracy.
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Orhan, Z.; Pehlivan, İ.; Uslan, V.; Önder, P. Automated Extraction of Semantic Word Relations in Turkish Lexicon. Math. Comput. Appl. 2011, 16, 13-21.
Orhan Z, Pehlivan İ, Uslan V, Önder P. Automated Extraction of Semantic Word Relations in Turkish Lexicon. Mathematical and Computational Applications. 2011; 16(1):13-21.Chicago/Turabian Style
Orhan, Zeynep; Pehlivan, İlknur; Uslan, Volkan; Önder, Pınar. 2011. "Automated Extraction of Semantic Word Relations in Turkish Lexicon." Math. Comput. Appl. 16, no. 1: 13-21.