Proceedings-Artikel
SProUT - Shallow Processing with Typed Feature Structures and Unification
Markus Becker; Witold Drozdzynski; Hans-Ulrich Krieger; Jakub Piskorski; Ulrich Schäfer; Feiyu Xu
In: Proceedings of the International Conference on NLP (ICON 2002). December 18-21. 2002.
Abstract
We present SProUT, a platform for the development of multilingual shallow text processing systems. A grammar in SProUT consists of a set of rules, where the left-hand side is a regular expression over typed feature structures (TFSs), representing the recognition pattern, and the right-hand side is a sequence of TFSs, specifying how the output structure looks like. The reusable core components fo SProUT are a finite-state machine toolkit, a regular compiler, a typed feature structure package, and a finite-state machine interpreter.