Integrating Linguistics and AI: Morphological Analysis and Corpus development of Endangered Toto Language of West Bengal
October 26, 2025 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Ambalika Guha, Sajal Saha, Debanjan Ballav, Soumi Mitra, Hritwick Chakraborty
arXiv ID
2510.22629
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
0
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Preserving linguistic diversity is necessary as every language offers a distinct perspective on the world. There have been numerous global initiatives to preserve endangered languages through documentation. This paper is a part of a project which aims to develop a trilingual (Toto-Bangla-English) language learning application to digitally archive and promote the endangered Toto language of West Bengal, India. This application, designed for both native Toto speakers and non-native learners, aims to revitalize the language by ensuring accessibility and usability through Unicode script integration and a structured language corpus. The research includes detailed linguistic documentation collected via fieldwork, followed by the creation of a morpheme-tagged, trilingual corpus used to train a Small Language Model (SLM) and a Transformer-based translation engine. The analysis covers inflectional morphology such as person-number-gender agreement, tense-aspect-mood distinctions, and case marking, alongside derivational strategies that reflect word-class changes. Script standardization and digital literacy tools were also developed to enhance script usage. The study offers a sustainable model for preserving endangered languages by incorporating traditional linguistic methodology with AI. This bridge between linguistic research with technological innovation highlights the value of interdisciplinary collaboration for community-based language revitalization.
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