Title :
Parsers and parsing approaches: Classification and state of the art
Author :
Rani, Amita ; Mehla, Komal ; Jangra, Ajay
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. Inst. of Eng. & Technol., Kurukshetra, India
Abstract :
Recently, dependency parsing has been used for development of dependency parsers. There are many parsers built in the area of NLP for grammatical information extraction. These parsers can be used to build treebanks which can serve as resources for research purposes. This paper describes the various parsers based on different parsing methodology for different languages. One of the advantages of the dependency parsing is that it resolves ambiguity. In this paper a comparative table of different parsers is proposed for better analysis.
Keywords :
grammars; natural language processing; NLP; dependency parsing; parsers; Algorithm design and analysis; Classification algorithms; Grammar; Heuristic algorithms; Knowledge management; Magnetic heads; Market research; Dependency Parsing; NLP; Parser;
Conference_Titel :
Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8432-9
DOI :
10.1109/ABLAZE.2015.7154963