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Speech signals are non-stationary and nonlinear in nature. They are affected by background noise and this affects the performance of a speech recognition system. This paper deals with smoothing a signal there by removing noise from speech signals for the development of an efficient speech recognition system for recognizing isolated spoken words in Malayalam. Here, speech signals are pre-processed...
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...
This paper describes about an English-Malayalam cross-lingual information retrieval system. The system retrieves Malayalam documents in response to query given in English or Malayalam. Thus monolingual information retrieval is also supported in this system. Malayalam is one of the most prominent regional languages of Indian subcontinent. It is spoken by more than 37 million people and is the native...
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