Language Processing with Perl and Prolog

Theories, Implementation, and Application

  • Pierre M.┬áNugues

Part of the Cognitive Technologies book series (COGTECH)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Pierre M. Nugues
    Pages 1-22
  3. Pierre M. Nugues
    Pages 23-64
  4. Pierre M. Nugues
    Pages 65-86
  5. Pierre M. Nugues
    Pages 123-167
  6. Pierre M. Nugues
    Pages 169-203
  7. Pierre M. Nugues
    Pages 205-222
  8. Pierre M. Nugues
    Pages 253-279
  9. Pierre M. Nugues
    Pages 281-319
  10. Pierre M. Nugues
    Pages 321-369
  11. Pierre M. Nugues
    Pages 371-401
  12. Pierre M. Nugues
    Pages 403-437
  13. Pierre M. Nugues
    Pages 439-468
  14. Pierre M. Nugues
    Pages 469-509
  15. Pierre M. Nugues
    Pages 511-551
  16. Pierre M. Nugues
    Pages 553-574
  17. Back Matter
    Pages 575-662

About this book


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.


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

Authors and affiliations

  • Pierre M.┬áNugues
    • 1
  1. 1.Department of Computer ScienceLund UniversityLundSweden

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-41463-3
  • Online ISBN 978-3-642-41464-0
  • Series Print ISSN 1611-2482
  • Series Online ISSN 2197-6635
  • Buy this book on publisher's site