Computational Issues in Fluid Construction Grammar

A New Formalism for the Representation of Lexicons and Grammars

  • Luc Steels

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7249)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7249)

Table of contents

  1. Front Matter
  2. Basics

    1. Front Matter
      Pages 1-1
    2. Martin Loetzsch
      Pages 37-47
  3. Implementation

    1. Front Matter
      Pages 49-49
    2. Kevin Stadler
      Pages 75-88
  4. Case Studies

  5. Formal Analysis

    1. Front Matter
      Pages 213-213
  6. Comparisons

    1. Front Matter
      Pages 257-257
    2. Nancy Chang, Joachim De Beule, Vanessa Micelli
      Pages 259-288
    3. Liviu Ciortuz, Vlad Saveluc
      Pages 289-311
    4. Chrisantha Fernando
      Pages 312-330
  7. Back Matter

About this book

Introduction

This state-of-the-art-survey documents the Fluid Construction Grammar (FCG), a new formalism for the representation of lexicons and grammars, which has been used in a wide range of case studies for different languages, both for studying specific grammatical phenomena and design patterns, as for investigating language learning and language evolution. The book focuses on the many complex computational issues that arise when writing challenging real world grammars and hence emphasises depth of analysis rather than broad scope. The volume contains 13 contributions organized in 5 parts from "Basic", and "Implementation", over "Case Studies", and "Formal Analysis", up to 3 papers presenting a "Conclusion".

Keywords

NLP deep language processing first order logic machine translation morphology

Editors and affiliations

  • Luc Steels
    • 1
  1. 1.ICREA - Institute for Evolutionary BiologyUniversitat Pompeu Fabra - CSICBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-34120-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-34119-9
  • Online ISBN 978-3-642-34120-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book