BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging

Author:

Ovi Jesan Ahammed1,Islam Md. Ashraful1ORCID,Karim Md. Rezaul1ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh

Funder

Centennial Research Grant (CRG), University of Dhaka

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference46 articles.

1. Automatic part-of-speech tagging for Bengali

2. Bengali part of speech tagging using conditional random field;ekbal;Proc 7th Int Symp Natural Lang Process (SNLP),2007

3. Part of speech tagging: a systematic review of deep learning and machine learning approaches

4. Part-of-speech tagging of Odia language using statistical and deep learning-based approaches;dalai;arXiv 2207 03256,2022

5. Part of speech tagging in Manipuri with hidden Markov model;singha;Int J Comput Sci Issues,2012

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2. UPoS Tagger for Low Resource Assamese Language: LSTM and BiLSTM based Modelling;2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT);2023-12-14

3. Transfer Learning-Based Neural Machine Translation for Low-Resource Languages;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-09-13

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