Jambu: A historical linguistic database for South Asian languages
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Abstract (arXiv)
We introduce Jambu, a cognate database of South Asian languages which unifies dozens of previous sources in a structured and accessible format. The database includes 287k lemmata from 602 lects, grouped together in 23k sets of cognates. We outline the data wrangling necessary to compile the dataset and train neural models for reflex prediction on the Indo-Aryan subset of the data. We hope that Jambu is an invaluable resource for all historical linguists and Indologists, and look towards further improvement and expansion of the database.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 7 of its 76 references that are in the map. First posted on arXiv 5 Jun 2023.
Builds on
7 of 76 references.
References · 7
- 2018A Call for Clarity in Reporting BLEU Scorescited by 1,790
- 2019Ab Antiquo: Neural Proto-language Reconstructioncited by 18
- 2018Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics?cited by 15
- 2022Computational historical linguistics and language diversity in South Asiacited by 8
- 2018Computational Historical Linguisticscited by 6
- 2022Neural Unsupervised Reconstruction of Protolanguage Word Formscited by 5
- 2019A probabilistic assessment of the Indo-Aryan Inner-Outer Hypothesiscited by 4
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Citing papers per year: 2024: 3.
3 papers.
- 2024Semisupervised Neural Proto-Language Reconstruction9 Jun 2024
- 2024PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin25 Apr 2024
- 2024Improved Neural Protoform Reconstruction via Reflex Prediction27 Mar 2024