| Autor: |
Venkat N. Gudivada, Ethan Smith, Dhana Rao |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Applied Computer Vision and Image Processing ISBN: 9789811540288 |
| DOI: |
10.1007/978-981-15-4029-5_35 |
| Popis: |
Natural language is a miracle of human life. They have developed and evolved over thousands of years. Language is more than a medium for communication. Embedded in languages are cultural practices and ancient wisdom. Furthermore, there is cognitive evidence to support that learning in one’s mother tongue is easier than it is in a non-native language. Many languages of the world are close to extinction or on a rapid path to extinction. In this paper, we argue that Computational Linguistics offers practical and unprecedented opportunities for preserving and promoting all natural languages. Just as much as biologists care about the extinction of species and their impact on the environmental ecosystem, linguists, computing professionals, and society-at-large should take a similar approach to protecting and celebrating the grandeur of linguistic diversity. We outline an approach to achieving this goal for Indian languages. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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