Collins, ChristopherCarpendale, SheelaghPenn, GeraldK. Museth and T. Moeller and A. Ynnerman2014-01-312014-01-312007978-3-905673-45-61727-5296https://doi.org/10.2312/VisSym/EuroVis07/051-058Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible outputs and are usually hidden from users. We present a novel visualization intended to reveal the uncertainty and variability inherent in statistically-derived lattice structures. Applications such as machine translation and automated speech recognition typically present users with a best-guess about the appropriate output, with apparent complete confidence. Through case studies we show how our visualization uses a hybrid layout along with varying transparency, colour, and size to reveal the lattice structure, expose the inherent uncertainty in statistical processing, and help users make better-informed decisions about statistically-derived outputs.Categories and Subject Descriptors (according to ACM CCS): H.5.2 [Information Interfaces and Presentation]: User Interfaces Graphical user interfaces (GUI); E.1 [Data Structures]: Graphs and networks; I.2.7 [Natural Language Processing]: Machine translation, Speech recognition and synthesis; Keywords: lattice, uncertainty, information visualization, machine translation, speech recognition