Individuals using an Augmentative and Alternative Communication (AAC) device communicate at less than 10% of the speed of "traditional"speech, creating a large communication gap. In this user study, we compare the communication rate of pseudo-impaired individuals using two different word prediction algorithms and a system without word prediction. Our results show that word prediction can increase AAC communication rate and that more accurate predictions significantly improve communication rate.
CITATION STYLE
Trnka, K., Yarrington, D., McCaw, J., McCoy, K. F., & Pennington, C. (2007). The effects of word prediction on communication rate for AAC. In NAACL-HLT 2007 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Companion Volume: Short Papers (pp. 173–176). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1614108.1614152
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