Abstract
The VisLR workshop aims at bringing together people from visual analytics and computational linguistics to discuss the potentials and the challenges related to visualizing language data and in particular language resources. Linguistics has a long tradition of visually representing language patterns, from tree representations in syntax to spectograms in phonetics. However, the large amounts and ever-increasing complexity of today's resources call for new ways of visually encoding a multitude of abstract information on language in order to assure and enhance the quality and usability of these language resources.We invited submissions on research demonstrating the development, use and evaluation of visualization techniques for language resources. This includes work applying existing visualization techniques to language resources as well as research on new visualization techniques that are specifically targeted to the needs of language resources. The workshop contributions comprise visualization approaches for lexicographic data, text resources as well as speech data. Mayer et al. and Theron & Wandl-Vogt present two visualizations for facilitating the interactive exploration of lexicographic data. Bruneau et al. show how to make use of visual tools for analyzing high-dimensional models for speech synthesis adaptation. The visualizations for text and corpus data propose visual approaches that can be applied to support enhanced news-reading (Stoffel et al.), distant reading (John et al.) and the study of language change (Butt et al.) as well as the comparison of different editions of a text (Jänicke et al.).