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Foundations of Statistical Natural Language Processing

Christopher D. Manning, Hinrich Sch├╝tze

An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.

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Time Warps, String Edits, and Macromolecules

David Sankoff, Joseph B. Kruskal

The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively.

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Computing Patterns in Strings

Bill Smyth

The computation of patterns in strings is a fundamental requirement in many areas of science and information processing. The operation of a text editor, the lexical analysis of a computer program, the functioning of a finite automaton, the retrieval of information from a database - these are all activities which may require that patterns be located and computed. In other areas of science, the algorithms that compute patterns have applications in such diverse fields as data compression, cryptography, speech recognition, computer vision, computational geometry and molecular biology.

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