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Computation of Language

An Essay on Syntax, Semantics and Pragmatics in Natural Man-Machine Communication

  • Book
  • © 1989

Overview

Authors:
  1. Roland Hausser

    1. Laboratory for Computational Linguistics, Carnegie Mellon University, Pittsburgh, USA

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Part of the book series: Symbolic Computation (SYMBOLIC)

Part of the book sub series: Artificial Intelligence (1064)

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Table of contents (17 chapters)

  1. Front Matter

    Pages I-XVI
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  2. Introduction

    1. Introduction

      • Roland Hausser
      Pages 3-8

  3. Natural Language and Formal Grammar

    1. Front Matter

      Pages 9-9
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    2. Goals and Results

      • Roland Hausser
      Pages 11-22

    3. Grammar and Interpretation

      • Roland Hausser
      Pages 23-34

    4. Outline of Left-Associative Grammar

      • Roland Hausser
      Pages 35-53

    5. Continuations in Natural Language

      • Roland Hausser
      Pages 55-98

    6. Analysis and Generation

      • Roland Hausser
      Pages 99-118

  4. Algebraic and Automata-Theoretic Characterization

    1. Front Matter

      Pages 119-119
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    2. The Left-Associative Algorithm

      • Roland Hausser
      Pages 121-136

    3. Language Hierarchies

      • Roland Hausser
      Pages 137-160

    4. LA-Grammar and Automata

      • Roland Hausser
      Pages 161-187

    5. Decidability and Efficiency

      • Roland Hausser
      Pages 189-224

    6. Computational Complexity Results

      • Roland Hausser
      Pages 225-264

  5. Logic and Communication

    1. Front Matter

      Pages 265-265
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    2. Principles of Pragmatics

      • Roland Hausser
      Pages 267-287

    3. Meaning, Truth and Ontology

      • Roland Hausser
      Pages 289-304

    4. Model Theory and Artificial Intelligence

      • Roland Hausser
      Pages 305-317

    5. Reference and Denotation

      • Roland Hausser
      Pages 319-331

    6. Surface Compositional Semantics

      • Roland Hausser
      Pages 333-349
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Keywords

About this book

The study of linguistics has been forever changed by the advent of the computer. Not only does the machine permit the processing of enormous quantities of text­ thereby securing a better empirical foundation for conclusions-but also, since it is a modelling device, the machine allows the implementation of theories of grammar and other kinds of language processing. Models can have very unexpected properties­ both good and bad-and it is only through extensive tests that the value of a model can be properly assessed. The computer revolution has been going on for many years, and its importance for linguistics was recognized early on, but the more recent spread of personal workstations has made it a reality that can no longer be ignored by anyone in the subject. The present essay, in particular, could never have been written without the aid of the computer. I know personally from conversations and consultations with the author over many months how the book has changed. If he did not have at his command a powerful typesetting program, he would not have been able to see how his writing looked and exactly how it had to be revised and amplified. Even more significant for the evolution of the linguistic theory is the easy testing of examples made possible by the implementation of the parser and the computer-held lexicon. Indeed, the rule set and lexicon grew substantially after the successes of the early implementations created the desire to incorporate more linguistic phenomena.

Authors and Affiliations

  • Laboratory for Computational Linguistics, Carnegie Mellon University, Pittsburgh, USA

    Roland Hausser

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