Development of a rule based learning system for splitting compound words in Malayalam language
Latha Ravindran Nair, S. David Peter · 2011
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.