Computational and Emotional Linguistic Distance and Language Learning

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 5)

Abstract

Computational linguistics is a fast evolving concept in the contemporary era of technological advancements. The methods of teaching language to the machine so as to reap better benefits from a linguistically knowledgeable machine is the aim of computational linguistics. However, the concept of linguistic distance has arisen in the spheres with the introduction of multiple languages to the e-world. This paper aims to study the problems of computational linguistic distance and the methods to mitigate it. The paper also delves into Computer Assisted Language Learning and its Emotional Connection and Aspects of Language Acquisition.

Keywords

Linguistic distance Speech recognition systems Computational linguistic distance Computational linguistics Emotional Linguistic Distance Emotional Language Teaching Computer Assisted Language Learning 

References

  1. 1.
    Chsiwick, B. R., Miller, P. W.: Linguistic Distance: A Quantitative Measure of the Distance Between English and Other Languages. J. Social Science Research Network. 1246, 1–20 (2004).Google Scholar
  2. 2.
    Nerbonne, J., Hinrichs, E.: Linguistic Distances. In: Proceedings of the Workshop on Linguistic Distances, pp. 1–6. Association for Computational Linguistics, Sydney (2006).Google Scholar
  3. 3.
    Jurafsky, D.: Pragmatics and Computational Linguistics. In: Laurence R. Horn and Gregory Ward (eds.) Handbook of Pragmatics, pp. 1–36. Oxford, Blackwell.Google Scholar
  4. 4.
    Renals, S., Hain, T.: Speech Recognition. The handbook of computational linguistics and Natural Language Processing, United Kingdom (2010).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of LinguisticsAndhra UniversityVisakhapatnamIndia
  2. 2.Department of Journalism and Mass CommunicationsAndhra UniversityVisakhapatnamIndia

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