Preliminary Analysis of a Breadth-First Parsing Algorithm: Theoretical and Experimental Results.

Abstract

We will trace a brief history of context-free parsing algorithms and then describe some representation issues. The purpose of this paper is to share our philosophy and experience in adapting a well-known context free parsing algorithm (Earley's algorithm and variations thereof) to the parsing of a difficult and wide ranging corpus of sentences. The sentences were gathered by Malhotra in an experiment which fooled businessmen users into thinking they were interacting with a computer, when they were actually interacting with Malhotra in another room. The Malhotra corpus is considerably more difficult than a second collection published by the LADDER Group. Both collections are given in the appendices. Section 4 compares empirical results obtained from these collections against theoretical predictions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA101852

Entities

People

  • Kenneth W. Church
  • Ramesh S. Patil
  • William A. Martin

Organizations

  • Massachusetts Institute of Technology

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  • Air Platforms
  • C4I
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DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Ambiguity
  • Cognitive Science
  • Computational Processes
  • Computer Science
  • Computers
  • Context Free Grammars
  • Databases
  • Grammars
  • Language
  • Linguistics
  • Military Research
  • Natural Languages
  • Radar
  • Standards
  • United States

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  • Computational Linguistics
  • Educational Psychology
  • Neural Network Machine Learning.