Publication Type : Journal Article
Publisher : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Source : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Volume 62 LNICST, Amsterdam, p.195-197 (2012)
ISBN : 9783642325724
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
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2012
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.
Cite this Research Publication : A. M Kumar, Dhanalakshmi, V., Dhivya, R., and Dr. Soman K. P., “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.