Abstract
This paper presents a fuzzy set approach to the rule-based tagging. Both lexical and contextual phases have been shortly discussed to point the potential advantages of using an uncertain part-of-speech information. Obtained results are comparable with the results of other taggers, for example, Brill tagger.
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References
Borsley, R.: Syntactic theory. A unified approach. Arnold Publishing Company, London (1990)
Brill, E.: Pattern-Based Disambiguation for Natural Language Processing. EMNLP/VLC, (2000)
Brill, E.: Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging. In Natural Language Processing Using Very Large Corpora, (1999)
Brill, E., Wu, J.: Classifier Combination For Improved Lexical Disambiguation. COLING/ACL, (1998)
Brill, E.: Transformation-Based Error-Driven Learning and Natural Language Procesing: A Case Study in Part of Speech Tagging. Computational Linguistics, December, (1995)
Brill, E.: A simple rule-based part of speech tagger. Third Conference on Applied Natural Language Processing, Trento, Italy, (1992)
Dobryjanowicz, E.: Wybrane metody analizy skladniowej. Akademicka Oficyna Wydawnicza RM, Warsaw (1992)
Gutenberg Project. E-Text Books. http://promo.net/pg/
Hudson, R.: English Word Grammar. Blackwell, (1990)
Kogut, D.: Fuzzy Set Approach to Syntactic Analysis-TORCH project http://home.elka.pw.edu.pl/~dkogut/torch
Princeton University: WordNet Dictionary. http://www.cogsci.princeton.edu
Riemsdijk, H., Williams, E.: Introduction to the theory of grammar. MIT Press, Cambridge (1986)
Roche, E., Schabes, Y.: Finite-state language processing. MIT Press, Cambridge (1997)
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© 2002 Springer-Verlag Berlin Heidelberg
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Kogut, D.J. (2002). Fuzzy Set Tagging. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_24
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DOI: https://doi.org/10.1007/3-540-45715-1_24
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