Transition Networks for the Processing of Sanskrit Text for Identificationof Case Endings

Processing of the language for extraction of semantic is a challenge in the field of artificial intelligence. Work is being carried out in most of the Indian languages, and Sanskrit being the ancient of all, has a great potential in the extraction process. As given in the grammar of Sanskrit language, its case endings are strong identifiers of the respective word in the sentence. These features are used for identifying the thematic role of a word in a sentence. The problem lies in developing a system with these capabilities. Generally a complete database of all such suffixes is maintained, and then these databases are mapped with each word to identify it as a noun, pronoun, verb and adjective. However, search time in these is very large. This paper presents the design of the system which processes the suffix with the help of the type of net, similar to the transition net for identification purpose. Such extraction features help in representation of knowledge using Sanskrit language.