Natural Language Processing for Prolog Programmers
by Michael A. Covington
Publisher: Prentice-Hall 1994
Number of pages: 361
Designed to bridge the gap for those who know Prolog but have little or no background in linguistics, this book concentrates on turning theories into practical techniques. Coverage includes template and keyword systems, definite clause grammars (DCGs), English syntax, unification-based grammar, parsing algorithms, semantics, and morphology.
Home page url
Download or read it online for free here:
by Roger Levy - University of California, San Diego
A book on the topic of using probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling. The intended audience is graduate students in linguistics, psychology and computer science.
by Daniël de Kok, Harm Brouwer
We will go into many of the techniques that so-called computational linguists use to analyze the structure of human language, and transform it into a form that computers work with. We chose Haskell as the main programming language for this book.
by Rob Malouf, Miles Osborne - ESSLLI
This text provides an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. We investigate the implementation of maximum entropy models for attribute-value grammars.
by Gerald Gazdar, Chris Mellish - Addison-Wesley
This book is aimed at computer scientists and linguists at undergraduate, postgraduate, or faculty level, who have taken a programming course in Lisp. The focus is on the processing of the orthographic forms of natural language utterances and text.