The goal of this paper is firstly to present a thorough analysis of the adequacy of currently used taggers for historical Dutch and secondly to explore methods for generating higher accuracy tags.
we will asses the effect of different methods for preprocessing (spelling normalisation, as well as word-for-word translation of the text) on the accuracy of tags generated with a tagger trained on contemporary Dutch and we will explore whether making adaptations in the tagger based on knowledge extracted from a diachronic parallel corpus can improve tagging results.