Empowering Regional Language: NLP-driven Conversion from Rangpur Dialect to Standard Bengali Language

The Rangpur dialect, a geographical variant of the native spoken in the Rangpur division, including districts such as Dinajpur, Kurigram, Lalmonirhat, Nilphamari, etc. The Rangpur area has its local oral languages (like Rajhongshi) that general speakers in that region could find challenging to understand. As these languages are becoming extinct, a natural language processing approach would be a great attempt to preserve and protect these heritages. As an NLP approach, here applied well-known models such as LSTM, and Seq2Seq models. The dataset has been built using many sources to translate from standard to rangpur local tongue for this model implementation. Almost one thousand plus sentences have been gathered directly from local people. The trained dataset gave the output with accuracies of 94.69%, and 96.03% respectively. Make a plan to gather more knowledge about specific domains, such as better preprocessing techniques and necessary expertise.

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Published
2024-12-20
DOI
https://doi.org/10.1109/iccit64611.2024.11022045
Primary Topic
Natural Language Processing Techniques
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article
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article

Empowering Regional Language: NLP-driven Conversion from Rangpur Dialect to Standard Bengali Language

Narayan Ranjan Chakraborty, Mayen Uddin Mojumdar, MD. Abtahi Tajwar, M. Ali Akber Dewan et al.
Natural Language Processing Techniques
article

Empowering Regional Language: NLP-driven Conversion from Rangpur Dialect to Standard Bengali Language

Narayan Ranjan Chakraborty, Mayen Uddin Mojumdar, MD. Abtahi Tajwar, M. Ali Akber Dewan, Supta Das Dip, Tabib E Alahi
article en

Abstract

The Rangpur dialect, a geographical variant of the native spoken in the Rangpur division, including districts such as Dinajpur, Kurigram, Lalmonirhat, Nilphamari, etc. The Rangpur area has its local oral languages (like Rajhongshi) that general speakers in that region could find challenging to understand. As these languages are becoming extinct, a natural language processing approach would be a great attempt to preserve and protect these heritages. As an NLP approach, here applied well-known models such as LSTM, and Seq2Seq models. The dataset has been built using many sources to translate from standard to rangpur local tongue for this model implementation. Almost one thousand plus sentences have been gathered directly from local people. The trained dataset gave the output with accuracies of 94.69%, and 96.03% respectively. Make a plan to gather more knowledge about specific domains, such as better preprocessing techniques and necessary expertise.

Daffodil International University (BD)
Openalex Percentile: Top 72%
Natural Language Processing Techniques
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Empowering Regional Language: NLP-driven Conversion from Rangpur Dialect to Standard Bengali Language — Narayan Ranjan Chakraborty, Mayen Uddin Mojumdar, et al. · (2024) | TGRS Research Map | TGRS