We report on the evaluation of information structural annotation according to the Linguistic Information Structure Annotation Guidelines (LISA, (Dipper et al., 2007)). The annotation scheme differentiates between the categories of information status, topic, and focus. It aims at being language-independent and has been applied to highly heterogeneous data: written and spoken evidence from typologically diverse languages. For the evaluation presented here, we focused on German texts of different types, both written texts and transcriptions of spoken language, and analyzed the annotation quantitatively and qualitatively.

We describe tools for the extraction of collocations not only in the form of word combinations, but also of data about the morphosyntactic properties of collocation candidates. Such data are needed for a detailed lexical description of collocations, and to support both their recognition in text and the generation of collocationally acceptable text. We describe the tool architecture, report on a case study based on noun+verb collocations, and we give a first rough evaluation of the data quality produced.