Topic modeling in fringe word prediction for AAC

Authors:
Keith Trnka;Debra Yarrington;Kathleen McCoy;Christopher Pennington
Affiliations:
University of Delaware, Newark, DE;University of Delaware, Newark, DE;University of Delaware, Newark, DE;AgoraNet, Inc., Newark, DE
Venue:
Proceedings of the 11th international conference on Intelligent user interfaces
Year:
2006

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Abstract

Word prediction can be used for enhancing the communication ability of persons with speech and language impairments. In this work, we explore two methods of adapting a language model to the topic of conversation, and apply these methods to the prediction of fringe words.