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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 and Computer Application Raj Kishor Bisht; H. S. Dhami; S. S. J. Campus Almora In: http://www.ijcaonline.org/volume5/number3/pxc3871269.pdf Abstract: Fuzzy approach deals with the linguistic properties of elements such as beauty, coldness, hotness etc. Collocations are linguistically motivated. Decision of word combination for being collocation is a linguistic term as merely cooccurrence of word combinations does not signify the presence of collocation. Thus collocation extraction can be made possible by looking its linguistic aspect. In the present paper, an attempt has been made to make two different fuzzy sets of word combinations to be considered for collocations. Mutual information and t-test have been taken as basis for the construction of fuzzy sets. Two fuzzy set theoretical models have been proposed to identify collocations. It has been shown that fuzzy set theoretical approach works very well for collocation extraction. The working data has been based on a corpus of about one million words contained in different novels constituting project Gutenberg available on www.gutenberg.org. Keyword: Computational lexicography Keywords Collocation; Fuzzy set; General Terms Natural Language processing; Mutual Information; t-test URL: http://www.ijcaonline.org/volume5/number3/pxc3871269.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.4256 BASE Hide details

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