An evaluation method for stemming algorithms

Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1994

Volumn , Issue , 1994, Pages 42-50

  Paice, Chris D ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL;

OPTIMISATIONS; RETRIEVAL PERFORMANCE; STEMMING ALGORITHMS; TEST COLLECTION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84899706201     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4471-2099-5_5     Document Type: Conference Paper

References (9)

1. Lennon, M., Pierce, D. S., Tarry, B. D., Willett, P. An evaluation of some conflation algorithms for information retrieval. Journal of Information Science 1981;3, 177-183.
2. Frakes, W. B. Term Conflation for Information Retrieval. Ph. D. thesis, Syracuse University, NY, 1982.
3. Paice, CD. Another stemmer. SIGIR Forum 1990;24, 56-61.
4. Hafer, M. A. and Weiss, S. F. Word segmentation by letter successor varieties. Information Storage and Retrieval 1974;10, 371-385.
5. Landauer, C. and Mah, C. Message extraction through estimation of relevance. In: R. N. Oddy et al. (Eds.), Information Retrieval Research. London: Butterworths, London, 1981, pp. 117-138.
6. Harman, D. How effective is suffixing? Journal of the American Society for Information Science 1991;42, 7-15.
7. Lovins, J. B. Development of a stemming algorithm. Mechanical Translation and Computational Linguistics 1968;11, 22-31.
8. Porter, M. F. An algorithm for suffix stripping. Program 1980;14, 130-137.
9. Wilson, A. and Rayson, P. The automatic content analysis of spoken discourse: a report on work in progress. In: Souter, C. and Atwell, A., Corpus-based Computational Linguistics. Rodopi, Amsterdam and Atlanta GA, 1993.