Keywords : WordNet
International Research Journal on Advanced Science Hub,
2020, Volume 2, Issue Special Issue ICAMET 10S, Pages 108-111
Word Sense Disambiguation (WSD) is one of the most challenging problems in the research area of natural language processing. To find the correct sense of the word in a particular context is called Word Sense Disambiguation. As a human, we can get a correct sense of the word given in the sentence because of word knowledge of that particular natural language, but it is not an easy task for the machine to disambiguate the word. Developing any WSD system, it required sense repository and sense dictionary. It is very costly and time-consuming to build these resources. Many foreign languages have available these resources, that is why most of the foreign languages like English, German, Spanish etc lot of work is done in these Natural languages. When we look for Indian languages like Hindi, Marathi, Bengali etc. very less work is done. The reason behind this is resource-scarcity. In this paper, we majorly focus on Marathi Language Word Sense Disambiguation because of very less work is done in the Marathi Language as compared to Hindi and other Indian Languages. Our main objective is to provide information about various resources available for the Marathi language which will be helpful for researchers who wants to do work for Marathi WSD. This paper also gives a review on work done for Marathi Language WSD and its challenges and problems.