Effectiveness Analysis of Different POS Tagging Techniques for Bangla Language-Reference-Cited by-同舟云学术

Effectiveness Analysis of Different POS Tagging Techniques for Bangla Language

Published:2021-09-04 Issue: Volume: Page:121-134
ISSN:2190-3018
Container-title:Smart Systems: Innovations in Computing
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Author:

Jueal Mia Md.,Hassan Mehedee,Biswas Al Amin

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2877-1_13

Reference21 articles.

1. Bengali Vocabulary. Available online https://en.wikipedia.org/wiki/Bengali_vocabulary. Last accessed 2 August 2020

2. Sarkar, K., Gayen, V.:A practical part-of-speech tagger for Bengali. In: 2012 Third International Conference on Emerging Applications of Information Technology, pp. 36–40. IEEE (2012)

3. Sarkar, K., Gayen, V.: A trigram HMM-based POS tagger for Indian languages. In: Satapathy, S., Udgata, S., Biswal, B. (eds.) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-35314-7_24

4. Uddin, M.N., Islam, M.S., Khan, M.A., Jannat, M.E.: A neural network approach for Bangla POS tagger. In: 2018 International Conference on Bangla Speech and Language Processing (ICBSLP), pp. 1–4. IEEE (2018)

5. Ali, H.: An unsupervised parts-of-speech tagger for the Bangla language, vol. 20, pp. 1–8. Department of Computer Science, University of British Columbia (2010)

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