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A Deep Learning Architecture for Corpus Creation for Telugu Language

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Applied Computer Vision and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1155))

Abstract

Many natural languages are on the decline due to the dominance of English as the language of the World Wide Web (WWW), globalized economy, socioeconomic, and political factors. Computational Linguistics offers unprecedented opportunities for preserving and promoting natural languages. However, availability of corpora is essential for leveraging the Computational Linguistics techniques. Only a handful of languages have corpora of diverse genre while most languages are resource-poor from the perspective of the availability of machine-readable corpora. Telugu is one such language, which is the official language of two southern states in India. In this paper, we provide an overview of techniques for assessing language vitality/endangerment, describe existing resources for developing corpora for the Telugu language, discuss our approach to developing corpora, and present preliminary results.

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Authors and Affiliations

  1. Cognitive Computing Lab, East Carolina University, Greenville, NC, 27855, USA

    Dhana L. Rao, Venkatesh R. Pala, Nic Herndon & Venkat N. Gudivada

Authors
  1. Dhana L. Rao
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  2. Venkatesh R. Pala
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  3. Nic Herndon
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  4. Venkat N. Gudivada
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Corresponding author

Correspondence to Venkat N. Gudivada .

Editor information

Editors and Affiliations

  1. Department of Electronics and Tele-communication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India

    Brijesh Iyer

  2. Department of Computer Engineering, MGMs College of Engineering, Nanded, Maharashtra, India

    A. M. Rajurkar

  3. Department of Computer Science, East Carolina University, Greenville, NC, USA

    Venkat Gudivada

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Rao, D.L., Pala, V.R., Herndon, N., Gudivada, V.N. (2020). A Deep Learning Architecture for Corpus Creation for Telugu Language. In: Iyer, B., Rajurkar, A., Gudivada, V. (eds) Applied Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 1155. Springer, Singapore. https://doi.org/10.1007/978-981-15-4029-5_1

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  • DOI: https://doi.org/10.1007/978-981-15-4029-5_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4028-8

  • Online ISBN: 978-981-15-4029-5

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