An Analysis on Semantic Interpretation of Tamil Literary Texts
DOI:
https://doi.org/10.13052/jmm1550-4646.1839Keywords:
Discourse Parsing, Tamil literature, Text classification, Discourse-based Clustering, Information Retrieval, Mobile Application, Multimedia, Natural Language ProcessingAbstract
The interaction between a computer and a human or natural language is known as Natural Language Processing (NLP). The ultimate goal is to make the natural language text understandable, which in turn, requires its meaning to be captured. Text can be analyzed on several levels, such as lexical, syntax, semantics, discourse, and pragmatics. These NLP tasks deal with text at different levels, such as word, phrase, sentence, paragraph, and document. Discourse analysis is a type of text analysis that goes beyond the sentence level. The discourse analysis is currently performed on expository (essay) type of texts. There are currently no state-of-the-art NLP applications that handle Tamil literary texts at a discourse level. Tamil classical literature is rich with ethical, moral, and philosophical values that should be explored for the benefit of society. This paper proposes an automatic semantic interpretation framework for Tamil literary texts using discourse parsing by giving works on discourse parsing, text classification, discourse-based clustering and information retrieval, and Tamil language and Tamil literatures. This semantic interpretation can be developed as a smart mobile application using multimedia components. This paper also discusses how the Tamil literary text processing differs from the essay type of text.
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