Need a working end-to-end project on Word Sense Disambiguation(WSD) in Hindi language using Naive Bayes in python using Hindi Wordnet..
Word sense disambiguation (WSD) is the ability to identify the ‘meaning’ or ‘sense’ of words in particular context in a computational manner.
The output should contain Precision , recall, F-measure, accuracy and confusion matrix.
I have attached two research papers in Hindi WSD task and a dataset (sample dataset is attached for the project. You can use the same data set or anything similar but only in Hindi is needed).
Program should be able to provide contextual meanings of the ambiguous word . Our working project must be similar to these papers.