Publication Type:

Journal Article

Source:

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 6411 LNCS, Tiruchirappalli, p.249-251 (2012)

ISBN:

9783642278716

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84858027484&partnerID=40&md5=2d03ab1bdf671a64dba553d7bb428a59

Keywords:

Agglutinative language, Artificial intelligence, Automated machines, Data-driven approach, Generator systems, Individual systems, Inflection table, Morpho-lexical inflection, Morphological analyzer, Nouns and verbs, Paradigm, Reverse process, Sentence generation, Source language, Target language

Abstract:

Tamil is a morphologically rich language. Being agglutinative language most of the categories expressed are suffixes. Tamil is a post positional inflectional language. The Morphological Generator takes lemma and a Morpho-lexical description as input and gives a word-form as output. It is a reverse process of Morphological Analyzer. Morphological generator system implemented here is a new data driven approach which is simple, efficient and it does not require any rules and morpheme dictionary. We have developed an individual system to handle nouns and verbs. Any automated machine translation system requires morphological analyzer of source language and morphological generator of the target language. Using this morphological generator we have also developed a verb conjugator and noun declension. Here. © 2012 Springer-Verlag.

Notes:

cited By 0; Conference of 2nd International Conference on Data Engineering and Management, ICDEM 2010 ; Conference Date: 29 July 2010 Through 31 July 2010; Conference Code:88893

Cite this Research Publication

R. Ua Rekha, M Kumar, A., Dhanalakshmi, Va, Soman, K. Pa, and Rajendran, Sb, “A novel approach to morphological generator for Tamil”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6411 LNCS, pp. 249-251, 2012.

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