Research topics and applications

We focus on the application of statistical and machine learning methods, trained on corpus data, to explain human language acquisition and processing data, and to develop automatic text analysis systems that are accurate, efficient, and robust enough to be used in practical applications. These applications include for example automatic analysis of biomedical and clinical text. In Digital Humanities research we contribute to the DH platform with research on authorship attribution and author profiling, and social media analysis.