Universität Bielefeld - Technische Fakultät
Robust Processing of Natural Language
Previous approaches to robustness in Natural Language Processing
usually treat deviant input by relaxing grammatical
constraints whenever a successful analysis cannot be provided by
"normal" means. This schema implies, that error detection
always comes prior to error handling, a behaviour which hardly can
compete with its human model, where most erroneous
situations are handled without even noticing them.
The paper analyses the necessary preconditions for achieving a
higher level of robustness in Natural Language Processing and
suggests a quite different approach based on a
procedure for structural disambiguation. It not only offers the
possibility to cope with robustness issues in a more natural way but
eventually might be suited to accomodate quite different aspects of
robust behaviour within a single framework.
Anke Bodzin, 1995-06-09