PROPOSED ARCHITECTURE TO RECOGNIZE THE WORDS USING NATURAL LANGUAGE PROCESSING

In this project work we have worked on Natural Language processing. As we know that there are certain words whose meaning is different in different sentences. To identify such words from the sentences and correct them is the tedious task. To remove the language barriers among the citizens specifically in agricultural domain. The Google translator that is majoritarily used by people around the world still doesn't have the perfect accuracy in machine translation. For example: rose goes to school. - input word. The translated work looks like गुलाबस्कू लजाताहै. The wrong translation could lead to chaos. Several other translators like Babylon translator software also lacks in accuracy.There arises a lexical ambiguity and the problem of over stemming in Google translator, the extraction of root word is an ambiguous process.For example: 1) मेरादिलसोनेकाहै-here सोनेmeans “gold. 2)मेरादिलसोनेकाहै-here सोनेmeans “to sleep”. In this research paper, we have proposed architecture to find out such words from the sentences and their appropriate meaning