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A novel approach to word sense disambiguation in Bengali language using supervised methodology
2019
Sadhana (Bangalore)
An attempt is made in this paper to report how a supervised methodology has been adopted for the task of Word Sense Disambiguation (WSD) in Bengali with necessary modifications. At the initial stage, four commonly used supervised methods, Decision Tree (DT), Support Vector Machine (SVM), Artificial Neural Network (ANN) and Naïve Bayes (NB), are developed at the baseline. These algorithms are applied individually on a data set of 13 most frequently used Bengali ambiguous words. On experimental
doi:10.1007/s12046-019-1165-2
fatcat:f46i5c5ds5bkndmrrmpj4xh2jq