\“NIBA – TAG” - A Tool For Analyzing And Preparing German Texts
G. Fliedl, Georg F. Weber · WIT transactions on information and communication technologies · 2002
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.