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Math. Comput. Appl. 2011, 16(1), 13-21; doi:10.3390/mca16010013

Automated Extraction of Semantic Word Relations in Turkish Lexicon

1
Computer Engineering Department, Fatih University, 34500, Buyukcekmece, Istanbul, Turkey
2
Computer Engineering Department, Mevlana University, 42003, Selçuklu, Konya, Turkey
*
Authors to whom correspondence should be addressed.
Published: 1 April 2011
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Abstract

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.
Keywords: Turkish WordNet; Semantic word relations; NLP Turkish WordNet; Semantic word relations; NLP
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Orhan, Z.; Pehlivan, İ.; Uslan, V.; Önder, P. Automated Extraction of Semantic Word Relations in Turkish Lexicon. Math. Comput. Appl. 2011, 16, 13-21.

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