Building Discourse Parser for Thirukkural

Anita R, Subalalitha C N


Abstract
Thirukkural is one of the famous Tamil Literatures in the world. It was written by Thiruvalluvar, and focuses on ethics and morality. It provides all possible solutions to lead a successful and a peaceful life fitting any generation. It has been translated into 82 global languages, which necessitate the access of Thirukkural in any language on the World Wide Web (WWW) and processing the Thirukkural computationally. This paper aims at constructing the Thirukkural Discourse Parser which finds the semantic relations in the Thirukkurals which can extract the hidden meaning in it and help in utilizing the same in various Natural Language Processing (NLP) applications, such as, Summary Generation Systems, Information Retrieval (IR) Systems and Question Answering (QA) Systems. Rhetorical Structure Theory (RST) is one of the discourse theories, which is used in NLP to find the coherence between texts. This paper finds the relation within the Thriukkurals and the discourse structure is created using the Thirukkural Discourse Parser. The resultant discourse structure of Thirukkural can be indexed and further be used by Summary Generation Systems, IR Systems and QA Systems. This facilitates the end user to access Thirukkural on WWW and get benefited. This Thirukkural Discourse Parser has been tested with all 1330 Thirukurals using precision and recall.
Anthology ID:
2019.icon-1.3
Volume:
Proceedings of the 16th International Conference on Natural Language Processing
Month:
December
Year:
2019
Address:
International Institute of Information Technology, Hyderabad, India
Editors:
Dipti Misra Sharma, Pushpak Bhattacharya
Venue:
ICON
SIG:
Publisher:
NLP Association of India
Note:
Pages:
18–25
Language:
URL:
https://aclanthology.org/2019.icon-1.3
DOI:
Bibkey:
Cite (ACL):
Anita R and Subalalitha C N. 2019. Building Discourse Parser for Thirukkural. In Proceedings of the 16th International Conference on Natural Language Processing, pages 18–25, International Institute of Information Technology, Hyderabad, India. NLP Association of India.
Cite (Informal):
Building Discourse Parser for Thirukkural (R & C N, ICON 2019)
Copy Citation:
PDF:
https://aclanthology.org/2019.icon-1.3.pdf
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