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Title:
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TOWARDS AN ERROR-FREE STEMMING |
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Author(s):
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Eiman Tamah Al-shammari |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Pre-processing, Stemming, Algorithm, English |
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Type:
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Reflection Paper |
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First Page:
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160 |
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Last Page:
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163 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Stemming is a fundamental step in processing textual data preceding the tasks of information retrieval, text mining, and
natural language processing. The common goal of stemming is to standardize words by reducing a word to its base.
However, simply removing the suffix of the word can cause stemming errors such as under-stemming or over-stemming.
Sophisticated stemmers tend to weakly stem documents with very computationally expensive approaches such as
dictionary lookup. This paper presents a new dictionary free, simple, highly effective stemmer that can reduce stemming
errors in addition to decreasing computational time and data storage. |
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