Language modeling for soft keyboards

Joshua Goodman, Gina Venolia, Keith Steury, and Chauncey Parker


Language models predict the probability of letter sequences. Soft keyboards are images of keyboards on a touch screen for input on Personal Digital Assistants. When a soft keyboard user hits a key near the boundary of a key position, the language model and key press model are combined to select the most probable key sequence. This leads to an overall error rate reduction by a factor of 1.67 to 1.87.


Publication typeInproceedings
Published inEighteenth National Conference on Artificial Intelligence
AddressMenlo Park, CA, USA
PublisherAmerican Association for Artificial Intelligence
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