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A Computational Model of Recovery

  • Vincenzo Lombardo
Part of the Studies in Theoretical Psycholinguistics book series (SITP, volume 21)

Abstract

This paper introduces a computational model of recovery in sentence processing. The model consists of a general computational framework which defines a space of possible models and a set of heuristics which constrain the framework to a specific model. The basic idea is to diagnose the error source that has caused the failure and to repair the structure in order to solve the inconsistencies. The diagnosis of the error is accomplished through a heuristic search procedure (which makes selected accesses to the syntactic structure and returns the last safe position) operating together with a constraint on possible structural repairs. The repair component reprocesses input items only when it is not possible to reuse the structures built during the first pass analysis. This chapter describes the architecture of the general framework and the component modules, and sketches some heuristics that explain well-known cases of reanalysis in the literature.

Keywords

Ambiguity Resolution Syntactic Structure Syntactic Category Breakdown Point Dependency Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Vincenzo Lombardo
    • 1
  1. 1.Universitá di TorinoItaly

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