A word may have multiple meaning . Such as
I am going to bank to deposit a cheque .
This river bank is very nice .
In the first sentence , bank means a financial institution , and in the second sentence meaning is a river bank . Now in case of Machine Translation you have to recognise which senese of a word is used in a particular sentence . Then translate the word with its proper meaning . So word sense disambiguation is a big problem in Machine Tralsation . There are several methods to solve the word sense disambiguation . One is Lesk Algorithm . It uses golssess of a sense of a word in Wordnet . Wordnet is a big resource to WSD .
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sir i am an msc student and doing in this project for bengali words.please help me.. I want to add the bengali wordnet in mysql but no such file i am not geeting.please sir help me. email:- sdas65463@gmail.com
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