The Impact of Natural Language Processing on Preserving Endangered Languages

Authors

  • Divya Pareek Department of Linguistics and AI Integration, Institute of Advanced Language Studies, Ahmedabad, India.

Keywords:

Natural Language Processing (NLP), Endangered Languages, Language Preservation, Language Revitalization, Speech-to-Text Technology.

Abstract

Natural Language Processing (NLP), a subfield of artificial intelligence, is playing a pivotal role in the preservation of endangered languages. As many languages around the world face extinction, NLP offers innovative solutions to document, revitalize, and teach these languages. This paper explores the various ways in which NLP is being utilized in language documentation, including speech-to-text technology, corpus creation, and machine translation. It also examines the role of NLP in language revitalization through applications such as language learning platforms, interactive chatbots, and pronunciation assistance. Despite challenges such as limited digital resources and linguistic diversity, NLP holds immense potential to support the survival and growth of endangered languages. By leveraging advancements in AI and fostering collaboration with native communities, NLP can help ensure that endangered languages continue to thrive, preserving valuable cultural heritage for future generations.

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Published

2025-01-02

How to Cite

Divya Pareek. (2025). The Impact of Natural Language Processing on Preserving Endangered Languages. International Journal of Linguistics Applied Psychology and Technology (IJLAPT), 1(08(Dec), 23–32. Retrieved from https://ijlapt.strjournals.com/index.php/ijlapt/article/view/82

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Section

Articles