||NIBA-TAG is some kind of multilevel natural language tagger with rich functionality. It functions as a word-stemmer, a morphological parser and a normal POS-Tagger, which uses syntactic und semantic features for contextually influenced word-tagging.
Each rule is based on a ranking-mechanism which is currently related to the levels fact, proposal and guess. One of the postprocessing-units analyzes the ranking-structure and can change a proposal to a fact, if enough rules made an identical proposal for a word.
The default output is XML, where the level of precision can be specified. So one could generate a XML-file only including the guesses, or a file with all attributes relevant for the status of a proposal.