In search of a suitable method for disambiguation of word senses in Bengali

Author:

Pal Alok Ranjan,Saha Diganta,Naskar Sudip Kumar,Dash Niladri Sekhar

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference44 articles.

1. Abualhaija, S. (2016). D-Bees: A novel global algorithm for solving word sense disambiguation. Technical University of Hamburg, Germany, 2016, 1–141.

2. Agirre, E., & Edmonds, P. (Eds.). (2007). Word sense disambiguation-algorithms and applications (Vol. 33). New York: Springer.

3. Aung, N. T., Soe, K. M., & Thein, N. L. (2011). A word sense disambiguation system using Naïve Bayes algorithm for Myanmar language. International Journal of Scientific and Engineering Research, 2(9), 1–7.

4. Bala, P. (2013). Knowledge-Based Approach for Word sense disambiguation using Hindi WordNet. The International Journal of Engineering and Science (IJES), 2(4), 36–41.

5. Banerjee, S., & Pedersen, T. (2002). An adapted Lesk algorithm for word sense disambiguation using WordNet. In Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing, (pp. 136–145).

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