In this paper, we introduce the German version of the multilingual Fips parsing system. We focus on the evaluation of its part-ofspeech tagging component with the help of the TIGER treebank. We explain how Fips can be adapted to the tagset used by TIGER and report first results of this study: currently, 87% of words are tagged correctly. We also discuss some common errors and explore a possible extension of this study to parsing.
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