Title
Evaluating word prediction: framing keystroke savings
Abstract
Researchers typically evaluate word prediction using keystroke savings, however, this measure is not straightforward. We present several complications in computing keystroke savings which may affect interpretation and comparison of results. We address this problem by developing two gold standards as a frame for interpretation. These gold standards measure the maximum keystroke savings under two different approximations of an ideal language model. The gold standards additionally narrow the scope of deficiencies in a word prediction system.
Year
Venue
Keywords
2008
ACL (Short Papers)
gold standard,ideal language model,maximum keystroke saving,different approximation,word prediction,keystroke saving,word prediction system,language model
Field
DocType
Volume
Framing (construction),Computer science,Keystroke logging,Natural language processing,Artificial intelligence,Language model,Machine learning,Prediction system
Conference
P08-2
Citations 
PageRank 
References 
8
0.50
5
Authors
2
Name
Order
Citations
PageRank
Keith Trnka1977.51
Kathleen F. McCoy267193.90