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• Adapting Word Prediction to Subject Matter without Topic-Labeled Data

  Keith Trnka · 2008 · Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '08)

  This paper proposes a method for adapting word prediction systems to the current topic of discourse without requiring human-labeled topic categories in the training data. Word prediction is a key feature of Augmentative and Alternative Communication (AAC) devices, where it…

  word prediction · AAC · language model · topic modeling · natural language processing

• Corpus Studies in Word Prediction

  Keith Trnka, Kathleen F. McCoy · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  This paper from the University of Delaware investigates how the choice and combination of training corpora affects the performance of statistical word prediction systems for Augmentative and Alternative Communication (AAC) devices. The fundamental challenge is that AAC users…

  word prediction · AAC · language model · natural language processing · corpus linguistics

• User Modeling for Individuals with Disabilities: A Pilot Study of Word Prediction

  Abhishek Agarwal, Richard Simpson · 2005 · Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '05)

  This short paper describes the development of user models that predict how word prediction (WP) systems affect text entry performance for individuals with disabilities. The research addresses a practical clinical problem: clinicians who assess assistive technology for clients…

  word prediction · user modeling · assistive technology · text entry · eye tracking

3 results.