Within linguistics, the use of large sets of data via a combination of rule-based and stochastic methods is now standardly part of the analysis of language structure. However, novel visual computation techniques have only just begun to be explored. The aim of the project "Evaluation Metrics for Visual Analytics in Linguistics" is to evaluate whether visual analytics represents a methodology that can yield improved results for linguistic research and to establish metrics for the evaluation of visual analytics approaches by conducting linguistically motivated case studies on historical data. The project is part of the SFB-TRR 161 "Quantitative Methods for Visual Computing".