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Enabling Medical Translation for Low-Resource Languages Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Mining of Social Networks from Literary Texts of Resource Poor Languages

Authors : Pattabhi R. K. Rao, Sobha Lalitha Devi

Published in: Computational Linguistics and Intelligent Text Processing

Publisher: Springer International Publishing

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Abstract

We describe our work on automatic identification of social events and mining of social networks from literary texts in Tamil. Tamil belongs to Dravidian language family and is a morphologically rich language. This is a resource poor language; sophisticated resources for document processing such as parsers, phrase structure tree tagger are not available. In our work we have used shallow parsing for document processing. Conditional Random Fields (CRFs), a machine learning technique is used for automatic identification of social events. We have obtained an F-measure of 62% on social event identification. Social networks are mined by forming triads of the actors in the social events. The social networks are evaluated using graph comparison technique. The system generated social networks is compared with the gold network. We have obtained a very encouraging similarity score of 0.75.

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Metadata
Title
Mining of Social Networks from Literary Texts of Resource Poor Languages
Authors
Pattabhi R. K. Rao
Sobha Lalitha Devi
Copyright Year
2018
Book
Computational Linguistics and Intelligent Text Processing

Print ISBN: 978-3-319-75486-4

Electronic ISBN: 978-3-319-75487-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-75487-1_31

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