Parsing with Principles and Classes of Information

  • Paola¬†Merlo

Part of the Studies in Linguistics and Philosophy book series (SLAP, volume 63)

Table of contents

  1. Front Matter
    Pages i-x
  2. Paola Merlo
    Pages 1-30
  3. Paola Merlo
    Pages 31-70
  4. Paola Merlo
    Pages 71-98
  5. Paola Merlo
    Pages 99-146
  6. Paola Merlo
    Pages 147-172
  7. Back Matter
    Pages 173-245

About this book


Parsing with Principles and Classes of Information presents a parser based on current principle-based linguistic theories for English. It argues that differences in the kind of information being computed, whether lexical, structural or syntactic, play a crucial role in the mapping from grammatical theory to parsing algorithms.
The direct encoding of homogeneous classes of information has computational and cognitive advantages, which are discussed in detail. Phrase structure is built by using a fast algorithm and compact reference tables. A quantified comparison of different compilation methods shows that lexical and structural information are most compactly represented by separate tables. This finding is reconciled to evidence on the resolution of lexical ambiguity, as an approach to the modularization of information.
The same design is applied to the efficient computation of long- distance dependencies. Incremental parsing using bottom-up tabular algorithms is discussed in detail.
Finally, locality restrictions are calculated by a parametric algorithm.
Students of linguistics, parsing and psycholinguistics will find this book a useful resource on issues related to the implementation of current linguistic theories, using computational and cognitive plausible algorithms.


Parsing algorithms grammar linguistics psycholinguistics

Authors and affiliations

  • Paola¬†Merlo
    • 1
  1. 1.University of GenevaSwitzerland

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1996
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-7265-6
  • Online ISBN 978-94-009-1708-8
  • Series Print ISSN 0924-4662
  • Buy this book on publisher's site
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