We describe a robust text-handling component, which can deal with free text in a wide range of formats and can successfully identify a wide range of phenomena, including chemical formulae, dates, numbers and proper nouns. The set of regular expressions used to capture numbers in written form ("sechsundzwanzig") in German is given as an example. Proper noun "candidates" are identified by means of regular expressions, these being then rejected or accepted on the basis of run-time interaction with the user. This tagging component is integrated in a large-scale grammar development environment, and provides direct input to the grammatical analysis component of the system by means of "lift" rules which convert tagged text into partial linguistic structures.
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