Pesian Word Sense Disambiguation
Publish place: 15th Iranian Conference on Electric Engineering
Publish Year: 1386
Type: Conference paper
Language: English
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Document National Code:
ICEE15_185
Index date: 6 February 2007
Pesian Word Sense Disambiguation abstract
Word Sense Disambiguation (WSD) aims to identify the correct sense of an ambiguous word in a sentence. In this work we investigate the performance of two state – of – the art approaches: k-NN and Naïve Bayes for the purpose of Persian word sense disambiguation. These methods have been evaluated on two highly frequent and ambiguous words from “Hamshahri” – by some means a standard corpus for Persian language. We performed experiments on both stemmed and non-stemmed version of the corpus. The results show the superiority of k-NN algorithm over Naïve Bayes in almost all case. Although the results demonstrate good performance, further investigation should be done , by trying other classification meghods and also other features used in the literature.
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Pesian Word Sense Disambiguation authors
Mandana Hamidi
Department of Computing and Information Technology , Azad University of Qazvin
Ali Borji
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics
Saeed Shiry Ghidary
Computer Engineering Department, Amirkabir University of Technology
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