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 Peter Flach - John Wiley
An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic. Each technique is accompanied by a program implementing it.
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 Attila Csenki - BookBoon
This is the first of two volumes by the author on the programming language Prolog and its applications. In the first volume you can read about the accumulator technique, difference lists, program manipulations and exploratory code development.