Language modeling for soft keyboards

  • Authors:
  • Joshua Goodman;Gina Venolia;Keith Steury;Chauncey Parker

  • Affiliations:
  • Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Corp., Redmond, WA;Univ. of Washington, Seattle, WA

  • Venue:
  • Proceedings of the 7th international conference on Intelligent user interfaces
  • Year:
  • 2002

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Abstract

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.