Systematic Review of Morphological and Semantic Analysis in a Low Resource Language: Tamil

Systematic Review of Morphological and Semantic Analysis in a Low Resource Language: Tamil

Copyright: © 2024 |Pages: 27
ISBN13: 9798369307281|ISBN13 Softcover: 9798369346037|EISBN13: 9798369307298
DOI: 10.4018/979-8-3693-0728-1.ch005
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MLA

Matan, P., and P. Velvizhy. "Systematic Review of Morphological and Semantic Analysis in a Low Resource Language: Tamil." Empowering Low-Resource Languages With NLP Solutions, edited by Partha Pakray, et al., IGI Global, 2024, pp. 86-112. https://doi.org/10.4018/979-8-3693-0728-1.ch005

APA

Matan, P. & Velvizhy, P. (2024). Systematic Review of Morphological and Semantic Analysis in a Low Resource Language: Tamil. In P. Pakray, P. Dadure, & S. Bandyopadhyay (Eds.), Empowering Low-Resource Languages With NLP Solutions (pp. 86-112). IGI Global. https://doi.org/10.4018/979-8-3693-0728-1.ch005

Chicago

Matan, P., and P. Velvizhy. "Systematic Review of Morphological and Semantic Analysis in a Low Resource Language: Tamil." In Empowering Low-Resource Languages With NLP Solutions, edited by Partha Pakray, Pankaj Dadure, and Sivaji Bandyopadhyay, 86-112. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-0728-1.ch005

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Abstract

Natural language processing discusses the applications of computational technique analysis and synthesis of natural languages. Semantic and morphological analysis are the two basic percepts in the natural language processing domain. Semantic analysis is the process of analyzing the lexical, grammatical, and syntactical parts of the words. The study of words known as morphology focuses on the meaning and structure of words. In this chapter, the authors focus on various morphological analyzers developed for Tamil language. Developing a highly accurate and adaptable morphological analyser is a challenging task. Morphological analyser basically identifies the morphemes and parts of speech for tagging. The atomic version of a word that retains the original meaning is called a morpheme. Morphological analyzer type includes phrase level and word level analyzers. Universal networking language (UNL) is a declarative kind used to express the natural language text using a semantic network. The major applications of UNL are information retrieval system, machine translation system, and UNL-based search engine.

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