C. Anton Rytting
Dr. Anton Rytting is an Associate Research Scientist at the University of Maryland, College Park, Applied Research Laboratory for Intelligence and Security (ARLIS). He has taught for UMD’s College of Information Science (Maryland’s iSchool), Linguistics Department, and the Computer Science Department. Dr. Rytting is a computational linguist with over 12 years of professional experience in USG-funded research, including corpus normalization and quality control, automatic cognate/loanword detection, and natural language processing for under-resourced languages and social media text.
Dr. Rytting has supported Intelligence Community personnel by leading the development of the University of Maryland’s “Did You Mean…?” (DYM) tool, which supports error-tolerant search of lexical resources, and the related DYM toolkit, which allows non-programmers to develop error-tolerant lexical search capabilities for themselves. Dr. Rytting also served as the site Co-Principal Investigator for the UMD contribution to the testing and evaluation (T&E) team for the IARPA Babel program, as the Principal Investigator (PI) two more recent projects: one normalizing speech transcriptions across dialects for colloquial Arabic, the other collecting a new corpus and developing language-specific features in social media text predictive of certain personality and cognitive traits.
Dr. Rytting is currently collaborating with Dr. Susannah Paletz (PI) and other University of Maryland researchers on a Minerva Research Initiative grant to study the role of emotional content and narrative in predicting the rate at which social media posts are shared. More details on this project are available at Emotions in Social Media.
analysts, beginning with research in an Iraqi Arabic version and culminating with turn-over of operational systems for multiple languages to USG (2008-2015)