摘要：In the past years a large number of electronic text corpora for German have been created due to the increased availability of electronic resources. Appropriate filtering of lexical material in these corpora is a particular challenge for computational lexicography since machine readable lexicons alone are insufficient for systematic classification. In this paper we show – on the basis of the corpora of the DWDS – how lexical knowledge can be classified in a more fine-grained way with morphological and shallow syntactic parsing methods. One result of this analysis is that the number of different lemmas contained in the corpora exceeds the number of different headwords of current large monolingual German dictionaries by several times.
