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Word Sense Disambiguation (WSD), the process of automatically identifying themeaning of a polysemous word in a sentence, is a fundamental task in NaturalLanguage Processing (NLP). Progress in this approach to WSD opens up manypromising developments in the field of NLP and its applications. Indeed,improvement over current performance levels could allow us to take a first steptowards natural language understanding. Due to the lack of lexical resources itis sometimes difficult to perform WSD for under-resourced languages. This paperis an investigation on how to initiate research in WSD for under-resourcedlanguages by applying Word Sense Induction (WSI) and suggests some interestingtopics to focus on.

A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages