Word Sense Disambiguation Approach for Arabic Text
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 4
Abstract
Word Sense Disambiguation (WSD) consists of identifying the correct sense of an ambiguous word occurring in a given context. Most of Arabic WSD systems are based generally on the information extracted from the local context of the word to be disambiguated. This information is not usually sufficient for a best disambiguation. To overcome this limit, we propose an approach that takes into consideration, in addition to the local context, the global context too extracted from the full text. More particularly, the sense attributed to an ambiguous word is the one of which semantic proximity is more close both to its local and global context. The experiments show that the proposed system achieved an accuracy of 74%.
Authors and Affiliations
Nadia Bouhriz, Faouzia Benabbou, El Lahmar
Keywords
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- EP ID EP164487
- DOI 10.14569/IJACSA.2016.070451
- Views 116
- Downloads 0
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