Speed and Accuracy in Shallow and Deep Stochastic Parsing

Abstract

This paper reports some experiments that Compare the accuracy and performance of two stochastic parsing systems. The currently popular Collins parser is a shallow parser whose output contains more detailed semantically relevant information than other such parsers. The XLE parser is a deep-parsing system that couples a Lexical Functional Grammar to a log- linear disambiguation component and provides much richer representations theory. We measured the accuracy of both systems against a gold standard of the PARC 700 dependency bank, and also measured their processing times. We found the deep-parsing system to be more accurate than the Collins parser with only a slight reduction in parsing speed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA458874

Entities

People

  • Alexander Vasserman
  • John T. Maxwell Iii
  • Richard Crouch
  • Ronald M. Kaplan
  • Stefan Riezler
  • Tracy H. King

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Computational Linguistics
  • Computational Science
  • Computations
  • Computer Programming
  • Dynamic Programming
  • Feature Extraction
  • Grammars
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Probability
  • Recognition
  • Standards

Fields of Study

  • Computer science

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