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On morphological relatedness

Published online by Cambridge University Press:  10 February 2012

AHMED KHORSI
AHMED KHORSI*
Affiliation:
College of Computer and Information Science, Al-Imam Mohammad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia email: [email protected], [email protected]
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Abstract

In this paper, we discuss the results of a new unsupervised and computationally lightweight scoring of how two words are morphologically related to each other. This measure is meant to be an alternative to stemming, radicals (root) extraction, and morphological analysis in a wide range of applications; especially information extraction related ones. Compared to light stemming, which seems to be the most convenient approach for systems with efficiency concerns, our measure does not neglect unconditionally a prefix or a suffix as the light stemming does. Instead, our measure takes into account all letters of the word but with different weights. This prevents the missing of a significant letter. Compared to heavy stemming, morphological analysis, or radicals extraction, which rely on dictionaries and compatibility databases, our measure does not rely on any language-specific morphology knowledge. This makes our approach unsupervised and theoretically language independent and computationally much lighter. Our tests targeted Arabic: a Semitic language recognized to have a complex morphology due to its highly inflectional lexicon.

Type
Articles
Information
Natural Language Engineering , Volume 19 , Issue 4 , October 2013 , pp. 537 - 555
Copyright
Copyright © Cambridge University Press 2012 

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