An example of this is a prediction given for the word how . Since the usage-frequency tables will get updated this list may change but it is a good example of what the system can do. Work is still being carried out on the development of this system and a more accurate investigation of the hit rate will be performed at a later date. Furthermore this ability can be put to use for the prediction of words within an unfinished sentence. The comparisons with existing systems show that the use of grammatical recognition improves prediction.
Words being suggested make grammatical sense as well as being most frequently used words.
Thus the prediction success rate is likely to be much improved. The methodology used in the design is such that the layout and operation code for the system is easily understood and flexible. The authors would like to thank Jayne Easton and her colleagues at the Communication Aid Centre at Frenchay Hospital, Bristol for their help in this project. N. Alm, J.L. Arnott, A.F. Newell. Prediction and conversation momentum in an augmentative communication system.