Analysis of Uvama Urubugal in Tamil Sangam Literatures

Subalalitha Cn


Abstract
Uvama urubugal in Tamil are used to explain a particular context by citing another equivalent context. This is referred to as “Uvamaiyani” in Tamil Grammar rules as stated in Tholkappiam. The is called as simile in English. Similes bring out many beautiful poetic contexts. Automatic extraction of such similes can help to build better Natural Language Generation applications such as, story generation systems and lyric suggestion systems. This paper attempts to automatically extract the uvama urubugal from Tamil Sangam Literatures. Natrinai and Mullai Pattu have been used for the analysis. There are 12 uvama urupugal in Tamil as per Nanool and this paper has attempted to analyze the usage of these 12 uvama urubugal in Sangam Literatures and compares their usage distribution in the Tamil Film songs data set comprising of 4215 songs. It was found that only two uvama urubugal were used in the current-day Tamil Film songs. This comparison was done to reveal the diminishing usage of these beautiful uvama urubugal by the current generation and the urge to use them again.
Anthology ID:
2021.dravidianlangtech-1.10
Volume:
Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages
Month:
April
Year:
2021
Address:
Kyiv
Editors:
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar M, Parameswari Krishnamurthy, Elizabeth Sherly
Venue:
DravidianLangTech
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
80–84
Language:
URL:
https://aclanthology.org/2021.dravidianlangtech-1.10
DOI:
Bibkey:
Cite (ACL):
Subalalitha Cn. 2021. Analysis of Uvama Urubugal in Tamil Sangam Literatures. In Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, pages 80–84, Kyiv. Association for Computational Linguistics.
Cite (Informal):
Analysis of Uvama Urubugal in Tamil Sangam Literatures (Cn, DravidianLangTech 2021)
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PDF:
https://aclanthology.org/2021.dravidianlangtech-1.10.pdf
Dataset:
 2021.dravidianlangtech-1.10.Dataset.zip