Ali Golkar - Young Researchers and Elite Club, Zahedan Branch, Islamic Azad University Zahedan, Iran
Pouneh Janmohammadi - Department of Computer, Babol Branch, Islamic Azad University Babol, Iran
Mohammad Reza Parsaei - Shiraz University of Technology, Department of Computer Engineering and IT, Shiraz, Iran
Mohammad Javad Golkar - Department of Electrical & Computer Engineering, Payam Noor University (PNU) Iran
Azita Yazdani - Department of Paramedical sciences, Tehran University, Tehran, Iran

In this paper, examining the key role of the noun in the lexical disambiguaty of English text, a new method of combining conceptual density method with giving weights to some unambiguous nouns in COCA Corpus and Brown Corpus for word sense disambiguation is presented. In this method, as well as conceptual density, the focus is on the most covered nouns in the hierarchical structure of WordNet, with the difference expressing the weight is given based on three parameters to unambiguous nouns while the process of disambiguation is done based upon them. So nouns with more semantic closeness to the ambiguous noun, have more impact on the disambiguation process. The results of conducted studies using these three weighting parameter, either separately or in combination indicating an acceptable level of accuracy in disambiguation.

Lexical disambiguaty, Conceptual Density, weighting, WordNet, word sense disambiguation (WSD)