Assistant Professor of Linguistics, University of Isfahan, Isfahan, Iran
Abstract
This study is an attempt to compare the intralingual semantic relations among nouns in three WordNets: FarsNet, EuroNet and Princeton WordNet. For this purpose, first the structure of WordNet was introduced and then the relations among the noun syn sets in each WordNet were discussed. This study is a descriptive comparative one and tries to answer these questions: is there any difference between these WordNets with regard to the type and number of relations? If there is any difference, what is the reason? The result of the comparison indicated that some specific relations create the skeleton of these WordNets and these relations were common between them but there were other relations that increase the information about the synsets and as a result could add to the natural language processing capability of these tools. Although adding relations can increase the capabilities, too many relations have a negative effect on their computational ability and this is the reason of choosing a restricted number of relations in FarsNet. This finding can be used in building other WordNets including special WordNets.
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Hesabi,A. (2016). A Comparison between Intra lingual Semantic Relations of Nouns in Fars Net, Euro Net and Princeton Word Net. Language Related Research, 7(4), 149-173.
MLA
Hesabi,A. . "A Comparison between Intra lingual Semantic Relations of Nouns in Fars Net, Euro Net and Princeton Word Net", Language Related Research, 7, 4, 2016, 149-173.
HARVARD
Hesabi,A. (2016). 'A Comparison between Intra lingual Semantic Relations of Nouns in Fars Net, Euro Net and Princeton Word Net', Language Related Research, 7(4), pp. 149-173.
CHICAGO
A. Hesabi, "A Comparison between Intra lingual Semantic Relations of Nouns in Fars Net, Euro Net and Princeton Word Net," Language Related Research, 7 4 (2016): 149-173,
VANCOUVER
Hesabi,A. A Comparison between Intra lingual Semantic Relations of Nouns in Fars Net, Euro Net and Princeton Word Net. Language Related Research, 2016; 7(4): 149-173.
Language Related Research