Lewis, TimothyHurst, AmyTaylor, Matthew E.Matuszek, Cynthia2018-09-062018-09-062016Timothy Lewis, Amy Hurst, Matthew E. Taylor, & Cynthia Matuszek, Using Language Groundings for Context-Sensitive Text Prediction, EMNLP Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods, 2016;http://hdl.handle.net/11603/11252EMNLP Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods, 2016In this paper, we present the concept of using language groundings for context sensitive text prediction using a semantically informed, context-aware language model. We show initial findings from a preliminary study investigating how users react to a communication interface driven by context-based prediction using a simple language model. We suggest that the results support further exploration using a more informed semantic model and more realistic context.5 PAGESen-USThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.Grounded languagecontext sensitive generationpredictive textInteractive Robotics and Language LabText