Home   >   CSC-OpenAccess Library   >    Manuscript Information
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
MORE INFORMATION
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.
1 Google Scholar 
2 CiteSeerX 
3 Scribd 
4 SlideShare 
5 PdfSR 
A. Thanopoulos, N. Fakotakis, and G. Kokkinakis. “Comparative Evaluation of Collocation Extraction Metrics”. Available: http://www. irecconf. org/proceedings/irec2002/pdf/128.pdf [Jan.26, 2011]
After Reviewing:
D. Blaheta and M. Johnson. “Unsupervised learning of multi-word verbs”, in 39th Annual Meeting and 10th Conference of the European Chapter of the Association for Computational Linguistics (ACL39), pp.54-60, CNRS, Institut de Recherche en Informatique de Toulouse, and Universite des Sciences Sociales, Toulouse, France, Jul., 2001.
D. Lin. “Extracting collocations from text corpora”, in First Workshop on Computational Terminology, Montreal, Canada, Aug., 1998.
D. Pearce. “A Comparative Evaluation of Collocation Extraction Techniques”. Available: http://www.irec-conf.org/proceedings/irec2002/pdf/169.pdf [Jan. 23, 2011].
D. Pearce. “Synonymy in collocation extraction”, in NACCL 2001 Workshop: WordNet and Other Lexical Resources: Applications, Extensions and Customizations, Carnegie Mellon University, Pittsburgh, Jun., 2001.
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.
F. Smadja. “Retrieving Collocations from Text:Xtract”, Computational Linguistics, 19(1):143- 177, Mar. 1993.
J.P. Goldman, L. Nerima, and E. Wehril. “Collocation extraction using a syantactic parser”, in 39th Annual Meeting and 10th Conference of the European Chapter of the Association for Computational Linguistics (ACL39), pp.61-66, CNRS, Institut de Recherche en Informatique de Toulouse, and Universite des Sciences Sociales, Toulouse, France, Jul., 2001.
K. Kita, Y. Kato, T. Omoto, and Y. Yano. “A comparative study of automatic extraction of collocations from corpora: Mutual Information vs. cost criteria”. Journal of Natural Language Processing, 1(1):21-33, 1994.
K. Ward Church & P. Kanks. “Word association norms, mutual information, and lexicography”. Computational Linguistics, 16(1):22-29, Mar. 1990.
L.A. Zadeh. “Fuzzy sets”. Information and Control, 8, pp. 338 – 353, 1965.
L.A. Zadeh. “Toward a theory of fuzzy information granulation and its Centrality in human reasoning and Fuzzy logic”. International Journal of Soft Computing and Intelligence, 90, 2, pp. 111 – 127, 1997.
L.M.Berry-Rogghe. “The computation of collocations and their relevance to lexical studies” in A.J.Aitken, R.W.Balley, and N.Hamilton-Smith, The Computer and Literacy Studies, pp.103-112, University Press, Edinburgh, New Delhi, 1973.
S. Shimohata, T. Sugio, and J. Nagata. “Retrieving collocations by co-occurrences and word order constraints”. In 35th Conference of the Association for Computational Linguistics (ACL’97),pp 476-481,Madrid, Spain 1997.
S.D.. Kaehler: Fuzzy Logic.[Online]. Available : http://www.seattlerobotics.org/ encoder/mar98/fuz /flindex.html, (1998) [Jan.28, 2011].
T. Sowell. Fuzzy-Logic. [Online]. Available : http://www.fuzzy logic.com/ch3.htm, 2005 [Jan.15,2011].
Associate Professor Momtaz Thingujam
Manipur University - India
chur55@yahoo.co.in
Dr. Ak.Ashakumar Singh
- India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS