Natural Language Processing and Information Retrieval
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology. The book attempts to bridge the gap between theory and practice and would also serve as a useful reference for professionals and researchers working on language-related projects.
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Word Level Analysis
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adjective algorithm answer applications approach assigned automatic chapter coherence Computational Linguistics concept conceptual graph Consider constituents constraints context defined discourse discussed domain English entity evaluation example f-structure Hindi identify Indian languages information extraction system information retrieval input Karaka keywords language model lexical lexicon machine translation match matrix meaning representation module morphological MT system n-gram Natural Language Processing node Nominal noun phrase NP VP output Paninian parse tree parser part-of-speech tagging phrase structure phrase structure rules precision predicate preposition probabilistic probability problem pronoun query question question-answering system recall refers regular expression relevant documents represented retrieval systems role rule-based Savitha selectional restriction semantic analysis sentence sequence shown in Figure similarity specific statistical stem stemmers string Suha summary syntactic tagger target language task techniques text summarization thematic role theory training corpus vector Verb NP weight word sense disambiguation WordNet