Logo

Natural Language Processing Techniques in Prolog

Small book cover: Natural Language Processing Techniques in Prolog

Natural Language Processing Techniques in Prolog
by

Publisher: Union College

Description:
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.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Artificial Intelligence through PrologArtificial Intelligence through Prolog
by - 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.
(27280 views)
Book cover: Building Expert Systems in PrologBuilding Expert Systems in Prolog
by - Amzi! inc.
This book is designed to teach you how to build expert systems from the inside out. The author presents the various features used in expert systems, shows how to implement them in Prolog, and how to use them to solve problems.
(20874 views)
Book cover: Simply Logical: Intelligent Reasoning by ExampleSimply Logical: Intelligent Reasoning by Example
by - 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.
(11373 views)
Book cover: Prolog Experiments in Discrete Mathematics, Logic, and ComputabilityProlog Experiments in Discrete Mathematics, Logic, and Computability
by - Portland State University
Programming experiments designed to help learning of discrete mathematics, logic, and computability. Most of the experiments are short and to the point, just like traditional homework problems, so that they reflect the daily classroom work.
(22353 views)