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.
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© 2013 Springer India
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Sridhar, R., Jalin Gladis, D., Ganga, K., Dhivya Prabha, G. (2013). N-Gram Based Approach to Automatic Tamil Lyric Generation by Identifying Emotion. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_111
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DOI: https://doi.org/10.1007/978-81-322-0740-5_111
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0739-9
Online ISBN: 978-81-322-0740-5
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