Publication Type:

Journal Article

Source:

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Volume 62 LNICST, Amsterdam, p.195-197 (2012)

ISBN:

9783642325724

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84869594205&partnerID=40&md5=c9877153dffb4cda2a8284cbc1aea400

Keywords:

Clause boundary, Computational linguistics, Dependency parser, Enzymes, Information technology, MALT, NAtural language processing, Natural language processing systems, Parts of Speech (POS), Shift reduce parser, Signal processing

Abstract:

Clause boundary identification is a very important task in natural language processing. Identifying the clauses in the sentence becomes a tough task if the clauses are embedded inside other clauses in the sentence. In our approach, we use the dependency parser to identify the boundary for the clause. The dependency tag set, contains 11 tags, and is useful for identifying the boundary of the clause along with the identification of the subject and object information of the sentence. The MALT parser is used to get the required information about the sentence. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

Notes:

cited By 1; Conference of 1st Joint International Conference on Advances in Signal Processing and Information Technology, SPIT 2011 and the International Conference on Recent Trends in Information Processing and Computing, IPC 2011 ; Conference Date: 1 December 2011 Through 2 December 2011; Conference Code:92418

Cite this Research Publication

A. M Kumar, Dhanalakshmi, Vb, Dhivya, Ra, and Soman, K. Pa, “Clause boundary identification for Tamil language using dependency parsing”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 62 LNICST, pp. 195-197, 2012.

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