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Natural language processing is a prompt research area across the country.Parsing is one of the very crucial tool in language analysis system which aimsto forecast the structural relationship among the words in a given sentence.Many researchers have already developed so many language tools but the accuracyis not meet out the human expectation level, thus the research is still exists.Machine translation is one of the major application area under Natural LanguageProcessing. While translation between one language to another language, thestructure identification of a sentence play a key role. This paper introducesthe hybrid way to solve the identification of relationship among the givenwords in a sentence. In existing system is implemented using rule basedapproach, which is not suited in huge amount of data. The machine learningapproaches is suitable for handle larger amount of data and also to get betteraccuracy via learning and training the system. The proposed approach takes aTamil sentence as an input and produce the result of a dependency relation as atree like structure using hybrid approach. This proposed tool is very helpfulfor researchers and act as an odd-on improve the quality of existingapproaches.

An efficiency dependency parser using hybrid approach for tamil language