Natural Language Processing Techniques in Prolog
by Patrick Blackburn, Kristina Striegnitz
Publisher: Union College 2002
Contents: Finite State Automata; Finite State Parsers and Transducers; Finite State Methods in Natural Language Processing; Recursive Transition Networks (RTNs); RTN transducers and ATNs; Definite Clause Grammars; Bottom Up Parsing; Top Down Parsing; Using Bottom Up and Top Down Information for Parsing; Passive Chart Parsing; Bottom-up Active Chart Parsing; Top-down Active Chart Parsing; Feature Structures; Parsing Feature-based Grammars; Natural Language Generation -- A Top-down Generator.
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by Paul Brna
These notes are designed for undergraduate students who have some programming experience. The function of the text is to provide students studying Artificial Intelligence with an intensive introduction to Prolog, there is a slight bias towards AI.
by Neil C. Rowe - Prentice-Hall
Artificial intelligence is a hard subject to learn. The author have written a book to make it easier. He explains difficult concepts in a simple, concrete way. This book is intended for all first courses in artificial intelligence.
by Leon S. Sterling, Ehud Y. Shapiro - The MIT Press
Hitherto, knowledge of how to use Prolog for serious programming has largely been communicated by word of mouth. This textbook sets down and explains for the first time in an accessible form the deeper principles and techniques of Prolog programming.
by Patrick Blackburn, Johan Bos, Kristina Striegnitz - College Publications
One of the most popular introductions to Prolog, an introduction prized for its clarity and down-to-earth approach. It is widely used as a textbook at university departments around the world, and even more widely used for self study.