Computational historical linguistics and language diversity in South Asia
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Abstract (arXiv)
South Asia is home to a plethora of languages, many of which severely lack access to new language technologies. This linguistic diversity also results in a research environment conducive to the study of comparative, contact, and historical linguistics -- fields which necessitate the gathering of extensive data from many languages. We claim that data scatteredness (rather than scarcity) is the primary obstacle in the development of South Asian language technology, and suggest that the study of language history is uniquely aligned with surmounting this obstacle. We review recent developments in and at the intersection of South Asian NLP and historical-comparative linguistics, describing our and others' current efforts in this area. We also offer new strategies towards breaking the data barrier.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 16 of its 134 references that are in the map. First posted on arXiv 23 Mar 2022.
Builds on
16 of 134 references.
References · 16
- 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
- 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
- 2021MuRIL: Multilingual Representations for Indian Languagescited by 177
- 2020A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarioscited by 170
- 2020Participatory Research for Low-resourced Machine Translation: A Case Study in African Languagescited by 159
- 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 108
- 2019Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsingcited by 69
- 2018Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processingcited by 63
- 2020iNLTK: Natural Language Toolkit for Indic Languagescited by 24
- 2019Dependency or Span, End-to-End Uniform Semantic Role Labelingcited by 22
- 2020Indic-Transformers: An Analysis of Transformer Language Models for Indian Languagescited by 22
- 2019Ab Antiquo: Neural Proto-language Reconstructioncited by 18
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Citing papers per year: 2022: 1; 2023: 3; 2024: 1; 2025: 1; 2026: 2.
8 papers.
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinshipcited by 9
- 2025Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia -- Current Stage and Challengescited by 6
- 2024Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepalicited by 5
- 2023Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generationcited by 4
- 2023Jambu: A historical linguistic database for South Asian languagescited by 3
- 2026When Words Don't Mean What They Say: Figurative Understanding in Bengali Idiomscited by 2
- 2023IruMozhi: Automatically classifying diglossia in Tamilcited by 1
- 2026Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamilcited by 0
- 2026Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil16 Feb 2026
- 2026When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms13 Feb 2026
- 2025Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia -- Current Stage and Challenges15 Sep 2025
- 2024Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali18 Dec 2024
- 2023IruMozhi: Automatically classifying diglossia in Tamil13 Nov 2023
- 2023Jambu: A historical linguistic database for South Asian languages5 Jun 2023
- 2023Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation12 May 2023
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship11 Apr 2022