Language modeling for soft keyboards

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. An extended version of this paper [4] is available.

p194-goodman.pdf
PDF file

In  IUI '02: Proceedings of the 7th International Conference on Intelligent User Interfaces

Publisher  ACM

Details

TypeInproceedings
URLhttp://doi.acm.org/10.1145/502716.502753
Pages194–195
ISBN1-58113-459-2
AddressNew York, NY, USA

Previous Versions

Joshua Goodman, Gina Venolia, Keith Steury, and Chauncey Parker. Language modeling for soft keyboards, ACM, 2002.

Gina D. Venolia, Joshua Goodman, Keith Steury, and Chauncey Parker. Language Modeling for Soft Keyboards, November 2001.

Joshua Goodman, Gina Venolia, Keith Steury, and Chauncey Parker. Language modeling for soft keyboards, American Association for Artificial Intelligence, 2002.

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