Tawseef Ahmad Mir


2020

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WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING
Tawseef Ahmad Mir | Aadil Ahmad Lawaye
Proceedings of the 17th International Conference on Natural Language Processing (ICON)

Every language used in this word has ambiguous words. The process of analyzing the word tokens and assigning the correct meanings to the ambiguous words according the context in which they are used is called word sense disambiguation(WSD). WSD is a very hot research topic in Natural Language Processing. The main purpose of my research work is to tackle the WSD problem for Kashmiri language using Supervised Machine Learning Approaches
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