Robustness has been traditionally stressed as a general desirable property of any computational model and system. The human NL interpretation device exhibits this property as
the ability to deal with odd sentences. However, the difficulties in a theoretical explanation
of robustness within the linguistic modelling suggested the adoption of an empirical notion.
In this paper, we propose an empirical definition of robustness based on the notion of
performance. Furthermore, a framework for controlling the parser robustness in the design
phase is presented. The control is achieved via the adoption of two principles: the modularisation, typical of the software engineering practice, and the availability of domain adaptable
components. The methodology has been adopted for the production of CHAOS, a pool of
syntactic modules, which has been used in real applications. This pool of modules enables
a large validation of the notion of empirical robustness, on the one side, and of the design
methodology, on the other side, over different corpora and two different languages (English
and Italian).
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