  A German language model for the Xerox HMM tagger is presented. This model's
performance is compared with two other German taggers with partial parameter
re-estimation and full adaption of parameters from pre-tagged corpora. The
ambiguity types resolved by this model are analysed and compared to ambiguity
types of English and French. Finally, the model's error types are described. I
argue that although the overall performance of these models for German is
comparable to results for English and French, a more exact analysis
demonstrates important differences in the types of disambiguation involved for
German.
