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A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages

arXiv 2501.00029 ↗First posted 20 Dec 2024cs.CL cs.IR cs.LGcited by 0

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Abstract (arXiv)

We review the recent literature (January 2022- October 2024) in South Asian languages on text-based language processing, multimodal models, and speech processing, and provide a spotlight analysis focused on 21 low-resource South Asian languages, namely Saraiki, Assamese, Balochi, Bhojpuri, Bodo, Burmese, Chhattisgarhi, Dhivehi, Gujarati, Kannada, Kashmiri, Konkani, Khasi, Malayalam, Meitei, Nepali, Odia, Pashto, Rajasthani, Sindhi, and Telugu. We identify trends, challenges, and future research directions, using a step-wise approach that incorporates relevance classification and clustering based on large language models (LLMs). Our goal is to provide a breadth-first overview of the recent developments in South Asian language technologies to NLP researchers interested in working with South Asian languages.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 20 Dec 2024.

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