Development of a rule based learning system for splitting compound words in Malayalam language

Author

Nair, Latha R. ; Peter, S. David

Author_Institution

Div. of Comput. Sci., Cochin Univ. of Sci. & Technol., Cochin, India

fYear

2011

fDate

22-24 Sept. 2011

Firstpage

751

Lastpage

755

Abstract

Morphological analyzers are essential for any type of natural language processing works. As Malayalam like other Dravidian languages is an agglutinative language it needs a compound word splitter as a preprocessor. An algorithm has been developed and successfully used for splitting the compound words. 90% success has been established in initial scrutiny of around 4000 compound words. The splitter can be used for developing and implementing a full fledged morphological analyzer.

Keywords

knowledge based systems; learning (artificial intelligence); natural language processing; word processing; Dravidian languages; Malayalam language; agglutinative language; compound word splitter; morphological analyzers; natural language processing works; rule based learning system; Algorithm design and analysis; Arrays; Compounds; Educational institutions; Morphology; Speech processing; Dravidian languages; Malayalam; finite automata; morphology; natural language processing; parts-of-speech tagger; sandhi splitter;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE

Conference_Location

Trivandrum

Print_ISBN

978-1-4244-9478-1

Type

conf

DOI

10.1109/RAICS.2011.6069410

Filename

6069410