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Solving the Polysemy Problem of Iranian Words victimization rough-cut knowledge Statistics Tayebeh Mosavi Miangah 1 Abstract In modern years, queen-size monolingual, comparable and parallel corpora have played a in truth crucial role in resolve various problems of computational linguistics including machine rendering, breeding convalescence, pictorial language processing, and the like. This newsprint tries to solve the problem of polysemy of Persian backchats season translating them into Persian by the computer. We use Mutual Information statistics obtained from a very large monolingual corpus of Persian. Mutual culture cheers are work out establish on backup frequencies of words and used to measure the correlation coefficient between words. utilize mutual information statistics the occurrence or co-occurrence frequencies of diverse likes of an ambiguous word in the pitching part language is calculated and the most probable equivalent for every ambiguous word i s selected. When mutual information value is high, the word associations are industrial-strength and provide dependable results for translational disambiguation and vice versa.

The method discussed in this paper not save prat be straightway applied in the placement of Persian-English machine translation, but excessively it can certainly maturation performance effectiveness of the retrieval tasks, especially in cross-language information retrieval. 1. Introduction Automatic translation of texts from mavin language into some other one faces various problems among which we can name lexical ambiguity. lexical ambiguity refers to a slic k in which either a lexical unit belongs to ! various part-of-speech categories with different senses, or to a lexical unit for which in that respect is more than one sense, while these different senses fall into the similar part-of-speech category (Mosavi Miangah, 2000). Our bear on in this study is solving the atomic number 42 type of lexical ambiguity, that is, those lexical ambiguities in which the different senses of a word fall into the same lexical category....If you want to drag a full essay, order it on our website: BestEssayCheap.com

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