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  1. String Processing and Information Retrieval Symposium (SPIRE)
  2. Proceedings. String Processing and Information Retrieval: A South American Symposium (Cat. No.98EX207)
  3. An experiment stemming non-traditional text
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Proceedings Eighth Symposium on String Processing and Information Retrieval
Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000
6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)
Proceedings. String Processing and Information Retrieval: A South American Symposium (Cat. No.98EX207)
Proceedings. String Processing and Information Retrieval: A South American Symposium (Cat. No.98EX207)
A linear time lower bound on updating algorithms for suffix trees
A model and a visual query language for structured text
Fast approximate string matching in a dictionary
Searching the Web: challenges and partial solutions
New approximation algorithms for longest common subsequences
Evidence accumulation with competition in information retrieval
In-place length-restricted prefix coding
SST versus EST in gene recognition
Information overload-an IR problem?
An experiment stemming non-traditional text
Efficient search techniques for the inference of minimum size finite automata
Direct pattern matching on compressed text
Reversal and transposition distance of linear chromosomes
Hyperdictionary: a knowledge discovery tool to help information retrieval
Index of authors

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An experiment stemming non-traditional text

Content Provider IEEE Xplore Digital Library
Author Nascimento, M.A. Da Cunha, A.C.R.
Copyright Year 1998
Description Author affiliation: CNPTIA-EMBRAPA, Sao Paulo, Brazil (Nascimento, M.A.)
Abstract Stemming is a technique which aims to extract common suffixes of words. Thus, words which are literally different but have a common stem, may be abstracted by their common stem. The underlying goal when using a stemming technique is to improve recall, at the possible expense of precision loss. A well known technique for stemming text is M.F. Porter's (1980) algorithm, which is based on a set of rules extracted from the English language. We argue that such an algorithm it is not efficient for non traditional texts, e.g., one made up mainly of medical terms. We thus investigate the use of a technique, called Peak-and-Plateau, which is based on tries, and compare it to Porter's algorithm. Our experiments have shown that using Porter's algorithm or none at all makes no difference as far as precision and recall goes. On the other hand using the Peak-and-Plateau technique we improved recall by about 15% and decreased precision by an average of 40%. Moreover it compressed the original text by 40% and the invented file by 45%.
Starting Page 75
Ending Page 80
File Size 54763
Page Count 6
File Format PDF
ISBN 0818686642
DOI 10.1109/SPIRE.1998.712985
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 1998-09-11
Publisher Place Bolivia
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Insects Read only memory Information retrieval Fires
Content Type Text
Resource Type Article
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