Title :
Shallow parser for Malayalam language using finite state cascades
Author :
Nair, Latha R. ; Peter, S.D.
Author_Institution :
Div. of Comput. Sci., Cochin Univ. of Sci. & Technol., Cochin, India
Abstract :
Various methods have been proposed for chunking sentences in agglutinative languages. For Malayalam a South Indian language, chunking methods proposed are mainly statistical. This paper describes a chunking method for Malayalam sentences based on morpheme based augmented transition network. For the trial set of sentences the system works with good accuracy with the set of chunk rules proposed. The chunking system has good potential for use as a full fledged parser for Malayalam language.
Keywords :
grammars; natural language processing; Malayalam language; South Indian language; agglutinative languages; chunking sentences; finite state cascades; shallow parser; Automata; Computer science; Educational institutions; Grammar; Natural languages; Syntactics; Tagging; Finite automata; Malayalam; augmented transition network; chunking; shallow parsing;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100786
