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5-Dialects-BN: Unmasking the Impact of Transliteration on Bangla Dialectal LLMs

arXiv · AI, language, vision and robotics · article · Sep 9, 2026 · UTC

Large Language Models (LLMs) have achieved remarkable progress across natural language processing (NLP) tasks, yet their capabilities degrade sharply for low-resource languages and dialectally diverse settings. Bangla, the world's sixth most spoken language, exemplifies this gap: existing resources overwhelmingly target Standard Bangla, leaving its regional dialects without the benchmarks needed to develop or evaluate dialect-aware systems. We address this gap with 5-Dialects-BN, the first multi-annotation Bangla dialect benchmark to align Romanized transliteration with dialectal text, Standar

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First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.