Natural Language Processing

Natural Language Processing covers all aspects of the area of linguistic analysis and the computational systems that have been developed to perform the language analysis. The book is primarily meant for post graduate and undergraduate technical courses. The book broadly deals with: The basic area of natural language processing, its significance and applications, its history, role of knowledge in language processing, practical language processing systems. Various techniques for performing syntactic analysis; phonological analysis, morphological analysis, word level analysis and other related topics; the concept of ambiguity and techniques to resolve ambiguities in language processing. Techniques used for understanding the meaning of sentences. The grammatical formalisms that are developed to accommodate word meaning and collective sentence meaning. Elementary and advanced parsing techniques. Augmented and feature grammars. The advanced grammar formalisms used for capturing meaning of sentences. Use of knowledge in language processing. Knowledge representation techniques. First order predicate calculus and different inference mechanisms that are used to draw conclusions from sentences. Concept of anaphora, pragmatic and discourse understanding theories. Various issues of Natural Language generation. It provides elaborate examples and gives much emphasis to the computational systems related to different aspects of Natural Language Processing. The book will be useful for the B.Tech. and M.Tech. students.