A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866915086667350016 |
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| author | Gupta, Pranav |
| author_facet | Gupta, Pranav |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_00029 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages Gupta, Pranav Computation and Language Information Retrieval Machine Learning 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. |
| title | A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages |
| topic | Computation and Language Information Retrieval Machine Learning |
| url | https://arxiv.org/abs/2501.00029 |