BanglaRegionalTextCorpus: A curated dataset for four regional bangla dialects with standard Bangla and English translation

Read full text
Authors: Md. Tofael Ahmed, Zannatul Mawa Koli, Azmain Mahtab Rahat, Taslima Akhter, Umme Ayman
Cited by: 0
References: 5

Abstract

The BanglaRegionalTextCorpus is introduced as a curated dataset documenting four regional Bangla dialects: Rangpur, Barisal, Narail, and Khulna along with their corresponding Standard Bangla and English translations. The corpus contains 4653 manually validated sentences, collected from community interactions, field recordings, and publicly available digital sources. Rigorous pre-processing steps, including duplicate removal, normalization, and linguistic validation by native speakers, were employed to ensure data accuracy and consistency. This dataset serves as a comprehensive resource for dialect identification, machine translation, and text classification, as well as for research in sociolinguistics and regional language variation. By capturing phonetic, lexical, and syntactic distinctions across four dialects, it enables the development of inclusive and context-aware NLP models for low-resourced languages. Furthermore, the dataset supports comparative linguistic studies between regional and standardized Bangla, contributing to the preservation and computational representation of dialectal diversity. The BanglaRegionalTextCorpus provides a benchmark resource for future research in Bangla NLP, promoting collaboration, cultural preservation, and equitable language technology development across diverse linguistic communities.

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Speech Recognition and Synthesis

Publication details

Journal / source
Data in Brief
Volume
65
Pages
112585–112585
Publication date
11 February 2026
Language
EN