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Robust parsing with weighted constraints

Published online by Cambridge University Press:  28 February 2005

KILIAN FOTH
Affiliation:
Fachbereich Informatik, Universität Hamburg, Vogt-Kölln-Strasse 30, D-22527 Hamburg, Germany e-mail: menzel@informatik.uni-hamburg.de
WOLFGANG MENZEL
Affiliation:
Fachbereich Informatik, Universität Hamburg, Vogt-Kölln-Strasse 30, D-22527 Hamburg, Germany e-mail: menzel@informatik.uni-hamburg.de
INGO SCHRÖDER
Affiliation:
Fachbereich Informatik, Universität Hamburg, Vogt-Kölln-Strasse 30, D-22527 Hamburg, Germany e-mail: menzel@informatik.uni-hamburg.de

Abstract

Based on constraint optimization techniques, an architecture for robust parsing of natural language utterances has been developed. The resulting system is able to combine possibly contradicting evidence from a variety of information sources, using a plausibility-based arbitration procedure to derive fairly rich structural representations, comprising aspects of syntax, semantics and other description levels of language. The results of a series of experiments are reported which demonstrate the high potential for robust behaviour with respect to ungrammaticality, incomplete utterances, and temporal pressure.

Type
Papers
Copyright
© 2005 Cambridge University Press

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