Second-order HMM for event extraction from short message
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Subject and object identification in Malayalam text
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Word category disambiguation for malayalam: a language model approach
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
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A Parts of Speech tagger for Malayalam which uses a stochastic approach has been proposed. The tagger makes use of word frequencies and bigram statistics from a corpus. The morphological analyzer is used to generate a tagged corpus due to the unavailability of an annotated corpus in Malayalam. Although the experiments have been performed on a very small corpus, the results have shown that the statistical approach works well with a highly agglutinative language like Malayalam