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Naïve Bayes Classifier for Arabic Word Sense Disambiguation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Elmougy, Samir Hamza, Taher Tawfeek Noaman, Hatem M. |
| Copyright Year | 2008 |
| Abstract | Word Sense Disambiguation (WSD) is the process of selecting a sense of an ambiguous word in a given context from a set of predefined senses. Sense Inventory usually comes from a dictionary or thesaurus. In Arabic, the main cause of word ambiguity is the lack of diacritics of the most digital documents so the same word can occurs with different senses. In this paper, we use the rooting algorithm with Naive Bayes Classifier to solve the ambiguity of nondiacritics words in Arabic language. Our Experimental study proves that using of rooting algorithm with Naive Bayes (NB) Classifier enhances the accuracy by 16% and also decreases the dimensionality of the training documents. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://infos2008.fci.cu.edu.eg/infos/NLP_03_P016-021.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
