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Literary and Linguistic Computing 2002 17(1):1-17; doi:10.1093/llc/17.1.1
© 2002 by Association for Literary & Linguistic Computing
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Stemming of Amharic Words for Information Retrieval

Nega Alemayehu1 and Peter Willett1

1 University of Sheffield, Sheffield, UK

This paper presents a stemmer for processing document and query words to facilitate searching databases of Amharic text. An iterative stemmer has been developed that involves the removal of both prefixes and suffixes and that also takes account of letter inconsistency and reiterative verb forms. Application of the stemmer to a test file of 1221 words suggested that appropriate stems were generated for ca. 95 per cent of them, with only limited overstemming and understemming.


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