Over the last few decades, corpora with comprehensive syntactic annotation, known as treebanks or parsed corpora, have been created in various formats for major languages of the world (e.g., Sampson (1995), Bies et al. (1995), Chen et al. (1999), TIGER (2003, NPCMJ (2016), etc.). As modes of accessing annotation have become more linguistically sophisticated, so these corpus resources have become more relevant for linguistics in general by providing sources of insight into factors that only become visible through analysis generalized over structures: phenomena in co-occurrence, frequency, constituency, embeddability, scope, agreement, dependency, etc. These insights are spurring new research and refinements in both corpus techniques and theoretical understanding. While much research has concentrated on challenges inherent in the creation as well as correction of annotated corpora (e.g., Dickinson and Meurers (2003), Hovy and Lavid (2010), Kulick et al. (2013), etc.), with the availability of digitized data on a large scale and the production of parsed corpora as available resources, new challenges have opened up for making use of corpus-building technologies and the resulting data in subsequent research. Examples include linking corpora to external resources like lexical databases, abstracting the contents sufficiently to be of use to non-experts, exploration of crosslinguistic patterns, etc. This special issue consists of five articles focused on applying parsed corpora research in three areas: (I) enrichment and