@inproceedings{mahadevan-etal-2022-thirumurai,
title = "Thirumurai: A Large Dataset of {T}amil Shaivite Poems and Classification of {T}amil Pann",
author = "Mahadevan, Shankar and
Ponnusamy, Rahul and
Kumaresan, Prasanna Kumar and
Chandran, Prabakaran and
Priyadharshini, Ruba and
S, Sangeetha and
Chakravarthi, Bharathi Raja",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.704",
pages = "6556--6562",
abstract = "Thirumurai, also known as Panniru Thirumurai, is a collection of Tamil Shaivite poems dating back to the Hindu revival period between the 6th and the 10th century. These poems are par excellence, in both literary and musical terms. They have been composed based on the ancient, now non-existent Tamil Pann system and can be set to music. We present a large dataset containing all the Thirumurai poems and also attempt to classify the Pann and author of each poem using transformer based architectures. Our work is the first of its kind in dealing with ancient Tamil text datasets, which are severely under-resourced. We explore several Deep Learning-based techniques for solving this challenge effectively and provide essential insights into the problem and how to address it.",
}
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%0 Conference Proceedings
%T Thirumurai: A Large Dataset of Tamil Shaivite Poems and Classification of Tamil Pann
%A Mahadevan, Shankar
%A Ponnusamy, Rahul
%A Kumaresan, Prasanna Kumar
%A Chandran, Prabakaran
%A Priyadharshini, Ruba
%A S, Sangeetha
%A Chakravarthi, Bharathi Raja
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F mahadevan-etal-2022-thirumurai
%X Thirumurai, also known as Panniru Thirumurai, is a collection of Tamil Shaivite poems dating back to the Hindu revival period between the 6th and the 10th century. These poems are par excellence, in both literary and musical terms. They have been composed based on the ancient, now non-existent Tamil Pann system and can be set to music. We present a large dataset containing all the Thirumurai poems and also attempt to classify the Pann and author of each poem using transformer based architectures. Our work is the first of its kind in dealing with ancient Tamil text datasets, which are severely under-resourced. We explore several Deep Learning-based techniques for solving this challenge effectively and provide essential insights into the problem and how to address it.
%U https://aclanthology.org/2022.lrec-1.704
%P 6556-6562
Markdown (Informal)
[Thirumurai: A Large Dataset of Tamil Shaivite Poems and Classification of Tamil Pann](https://aclanthology.org/2022.lrec-1.704) (Mahadevan et al., LREC 2022)
ACL