In this contribution, we present a novel approach for the analysis of cross-reference structures in digital dictionaries on the basis of the complete dictionary database. Using paradigmatic items in the German Wiktionary as an example, we show how analyses based on graph theory can be fruitfully applied in this context, e. g. to gain an overview of paradigmatic references as a whole or to detect closely connected groups of headwords. Furthermore, we connect information about cross-reference structures with corpus frequencies and log file statistics. In this way, we can answer questions such as the following ones: Are frequent words paradigmatically linked more closely than others? Are closely linked headwords or headwords that stand more solitary in the dictionary visited significantly more often?
© 2015 by Walter de Gruyter Berlin/Boston