Gujarati Word Sense Disambiguation (WSD) is an exceptionally complex when it comes to Natural language handling because it needs to manage complexities found in a language. In this paper, the discussion has put forward about Guajarati language, Gujarati Wordnet and Gujarati word sense disambiguation. Accordingly, the deep learning approach is found to perform better in Gujarati WSD yet one of its weakness is the prerequisite of enormous information sources without which preparing is close to impossible. On the other hand, utilizes information sources to choose the meanings of words in a specific setting. Provided with that, deep learning approaches appear to be more suitable to manage word sense disambiguation; however, the process will always be challenging given the ambiguity of natural languages.
A STUDY OF MAIN ELEMENTS OF WORD SENSE DISAMBIGUATION (WSD) FOR GUJARATI LANGUAGE