Title of article
Viewing morphology as an inference process Original Research Article
Author/Authors
Robert Krovetz، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
18
From page
277
To page
294
Abstract
Morphology is the area of linguistics concerned with the internal structure of words. Information retrieval has generally not paid much attention to word structure, other than to account for some of the variability in word forms via the use of stemmers. We report on our experiments to determine the importance of morphology, and the effect that it has on performance. We found that grouping morphological variants makes a significant improvement in retrieval performance. Improvements are seen by grouping inflectional as well as derivational variants. We also found that performance was enhanced by recognizing lexical phrases. We describe the interaction between morphology and lexical ambiguity, and how resolving that ambiguity will lead to further improvements in performance.
Keywords
Morphology , Information retrieval , Stemming , Lexical ambiguity , Word sense disambiguation
Journal title
Artificial Intelligence
Serial Year
2000
Journal title
Artificial Intelligence
Record number
1206842
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