A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language
Our paper, titled 'ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition' has been accepted and published in 'PLOS One', a Q1 journal (Impact Factor: 3.2 | CiteScore: 5.6 | SJR: 0.803).
BanglaASR-Dial: An Automatic Speech Recognition framework for regional Bangla dialects. Fine-tunes Meta's Wav2Vec 2.0 architecture to accurately transcribe diverse, low-resource regional dialects into standardized Bangla text.
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