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| Collocation Extraction Performance Ratings Using Fuzzy logic
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Source |
International Journal of Artificial Intelligence and Expert Systems (IJAE) |
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Volume: 3 Issue: 4 |
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Pages: |
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Publication
Date: August 2012 |
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ISSN
(Online): 2180-124X |
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80 - 89 |
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Published
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10-08-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
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| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Fuzzy Set Theory, Collocation Extraction, Transformation |
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| 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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After Reviewing:
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E.A., Shyllon.“Techniques for Modelling Uncertainties Inherent in Geomatics Data“, First International Symposium on Robust Statistics and Fuzzy Technics in Geodesy and GIS, Zurich: Swiss Federal Institute of Technology Zurich (ETH), Institute of Geodesy and Photogrammetry, pp. 139-143, 2001.
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| Momtaz Thingujam : Colleagues
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| Ak.Ashakumar Singh : Colleagues
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