✦ LIBER ✦

Design, implementation, and evaluation of a methodology for automatic stemmer generation

✍ Scribed by Massimo Melucci; Nicola Orio

Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 304 KB
Volume: 58
Category: Article
ISSN: 1532-2882
DOI: 10.1002/asi.20509

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✦ Synopsis

Abstract

The authors describe a statistical approach based on hidden Markov models (HMMs), for generating stemmers automatically. The proposed approach requires little effort to insert new languages in the system even if minimal linguistic knowledge is available. This is a key advantage especially for digital libraries, which are often developed for a specific institution or government because the program can manage a great amount of documents written in local languages. The evaluation described in the article shows that the stemmers implemented by means of HMMs are as effective as those based on linguistic rules.

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