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Collocation Extraction Performance Ratings Using Fuzzy logic
Momtaz Thingujam, Ak.Ashakumar Singh
Pages - 80 - 89     |    Revised - 15-07-2012     |    Published - 10-08-2012
Volume - 3   Issue - 4    |    Publication Date - December 2012  Table of Contents
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KEYWORDS
Fuzzy Set Theory, Collocation Extraction, Transformation
ABSTRACT
The performance of Collocation extraction cannot quantified or properly express by a single dimension. It is very imprecise to interpret collocation extraction metrics without knowing what application (users) are involved. Most of the existing collocation extraction techniques are of Berry-Roughe, Church and Hanks, Kita, Shimohata, Blaheta and Johnson, and Pearce. The extraction techniques need to be frequently updated based on feedbacks from implementation of previous policies. These feedbacks are always stated in the form of ordinal ratings, e.g. “high speed”, “average performance”, “good condition”. Different people can describe different values to these ordinal ratings without a clear-cut reason or scientific basis. There is need for a way or means to transform vague ordinal ratings to more appreciable and precise numerical estimates. The paper transforms the ordinal performance ratings of some Collocation performance techniques to numerical ratings using Fuzzy logic. Keywords: Fuzzy Set Theory, collocation extraction, Transformation, performance Techniques, Criteria.
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Associate Professor Momtaz Thingujam
Manipur University - India
chur55@yahoo.co.in
Dr. Ak.Ashakumar Singh
- India