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

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.