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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

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