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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2011, 16(1), 13-21;

Automated Extraction of Semantic Word Relations in Turkish Lexicon

Computer Engineering Department, Fatih University, 34500, Buyukcekmece, Istanbul, Turkey
Computer Engineering Department, Mevlana University, 42003, Selçuklu, Konya, Turkey
Authors to whom correspondence should be addressed.
Published: 1 April 2011
PDF [209 KB, uploaded 12 May 2016]


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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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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