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N-Gram Based Approach to Automatic Tamil Lyric Generation by Identifying Emotion

  • Rajeswari Sridhar
  • D. Jalin Gladis
  • K. Ganga
  • G. Dhivya Prabha
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)

Abstract

This paper discusses a tri-gram approach to automatic Tamil lyric generation. The approach is based on identifying the emotion from a given scenario and uses this emotion as a seed word to interpret the context of the scenario. A lyric model based on tri-gram is constructed which is referred using the identified seed word to generate lyrics. The lyric model, tri-gram of words, Tamil sentence rules and suffixes are used by a Morphological generator to generate lyrics. Using this approach we achieved an average accuracy of 74.17% with respect to exact emotion being conveyed in the generated lyrics.

Keywords

Lyric Model Semantic Role Grammar Rule Adjacent Line Meaningful Lyric 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer India 2013

Authors and Affiliations

  • Rajeswari Sridhar
    • 1
  • D. Jalin Gladis
    • 1
  • K. Ganga
    • 1
  • G. Dhivya Prabha
    • 1
  1. 1.Department of Computer Science and EngineeringAnna UniversityChennaiIndia

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