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Computer Science - Artificial Intelligence | Language Processing with Perl and Prolog - Theories, Implementation, and Application

Language Processing with Perl and Prolog

Theories, Implementation, and Application

Nugues, Pierre M.

2nd ed. 2014, XXV, 662 p. 200 illus., 18 illus. in color.

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  • Includes exercises throughout and supported with sample code
  • Also serves as handbook of techniques and algorithms
  • Updated to include further machine-learning techniques

The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications.


This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech, and morphology, as well as key concepts in machine learning, such as entropy, regression, and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic, and lexical semantics, and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs, and additional material.


The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field, the author redesigned or updated all the chapters, added two new ones, and considerably expanded the sections on machine-learning techniques.

Content Level » Lower undergraduate

Keywords » Annotation schemes - Computational linguistics (CL) - Corpus - Encoding schemes - Grammar - Information theory - Lexical semantics - Machine learning - Morphology - Natural language processing (NLP) - Parsing - Perl - Predicate logic - Prolog - Semantics - Syntactic formalisms - Tagging

Related subjects » Artificial Intelligence - HCI - Linguistics

Table of contents 

An Overview of Language Processing.- Corpus Processing Tools.- Encoding and Annotation Scheme.- Topics in Information Theory and Machine Learning.- Counting Words.- Words, Parts of Speech, and Morphology.- Part-of-Speech Tagging Using Rules.- Part-of-Speech Tagging Using Statistical Techniques.- Phrase-Structure Grammars in Prolog.- Partial Parsing.- Syntactic Formalisms.- Constituent Parsing.- Dependency Parsing.- Semantics and Predicate Logic.- Lexical Semantics.- Discourse.- Dialogue.- Appendix A, An Introduction to Prolog Index References.

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