Natural Language Processing in LISP - an introduction to computational linguistics
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New York at Buffalo
The Department of Computer Science at the State University of New York (SUNY) at Buffalo, one of the oldest computer science departments in the United States to grant a Ph.D, has been actively engaged in AI research since its establishment in 1965. With half of our full-time faculty members (Shoshana L. Hardt, William J. Rapaport, Stuart C. Shapiro, Sargur N. Srihari, and Deborah Walters), more...
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Natural Language processing (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages. In theory, natural-language processing is a very attractive method of human-computer interaction. Natural-language understanding is sometimes referred to as an AI-complete problem, because natural-language recognition seems to require ...
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The Department of Computer Science at the State University of New York (SUNY) at Buffalo, one of the oldest computer science departments in the United States to grant a Ph.D, has been actively engaged in AI research since its establishment in 1965. With half of our full-time faculty members (Shoshana L. Hardt, William J. Rapaport, Stuart C. Shapiro, Sargur N. Srihari, and Deborah Walters), more...
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This paper deals with a software environment for developing the natural language understanding system. The system called Multi-Layered Software Environment ( MLSE ) is proposed for providing a designer of a language understanding system with wide varieties of design alternatives in software components which derive from Computational Linguistics. The MLSE is a collection of module packages for b...
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The task of assigning label sequences to a set of observation sequences arises in many fields, including bioinformatics, computational linguistics and speech recognition [6, 9, 12]. For example, consider the natural language processing task of labeling the words in a sentence with their corresponding part-of-speech (POS) tags. In this task, each word is labeled with a tag indicating its appropr...
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