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BNLP: Natural language processing toolkit for Bengali language

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arxiv 2102.00405 v2 pith:W6AINAK3 submitted 2021-01-31 cs.CL

Sagor Sarker This is my paper · ORCID
classification cs.CL
keywords bnlptaggingbengalilanguageembeddingmodeltokenizationpre-trained
verification ladder T0 review T1 audit T2 compute T3 formal
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BNLP is an open source language processing toolkit for Bengali language consisting with tokenization, word embedding, POS tagging, NER tagging facilities. BNLP provides pre-trained model with high accuracy to do model based tokenization, embedding, POS tagging, NER tagging task for Bengali language. BNLP pre-trained model achieves significant results in Bengali text tokenization, word embedding, POS tagging and NER tagging task. BNLP is using widely in the Bengali research communities with 16K downloads, 119 stars and 31 forks. BNLP is available at https://github.com/sagorbrur/bnlp.

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Cited by 1 Pith paper

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  1. Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages

    cs.CL 2025-06 conditional novelty 3.0 of 10

    Relabeling hate speech as metaphor pairs (red/green, summer/winter) in prompts raises Llama2's F1 on a 500-item Bengali subsample to 95.89, though the gain is reported without matched test-set comparisons or error bars.

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