A model of keyboard configuration requirements
Assets '98 Proceedings of the third international ACM conference on Assistive technologies
Dasher—a data entry interface using continuous gestures and language models
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Proceedings of the fifth international ACM conference on Assistive technologies
A neural probabilistic language model
The Journal of Machine Learning Research
Semantic knowledge in word completion
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
The FastTrack to Human-Computer Interaction
The FastTrack to Human-Computer Interaction
| Hi-index | 12.05 |
The text entry interaction between human and computer could be noisy. The typing stream is a reflection of users' typing behavior that includes ones' fluency of vocabulary, typing habits and typing performance. This research develops an original intermediate layer language modeling framework called Adaptive Language Modeling Intermediate Layer (ALMIL), which can be seen as a communication language layer between human and computer to analyze noisy language stream data and provide users with Text Prediction and Text Correction functions. Then, the ALMIL framework is applied to QWERTY keyboard producing an Intelligent Keyboard hybrid framework, which can be used to analyze users' typing stream, and accordingly correct typing mistakes and predict users typing intention. An extendable Focused Time-Delay Neural Network (FTDNN) n-gram prediction algorithm is also developed to learn from the users' typing history and produce text entry prediction and correction based on historical typing stream. Overall, this research pioneers a comprehensive neural network language modeling process based on cross-experiments between extendible inputs, hidden neurons and noise rates, while statistics based traditional methods have failed to consider possible noises of a language stream. The Computer Simulation Results demonstrate that the proposed Intelligent Keyboard performs better than the conventional keyboard in Text Prediction and Text Correction. In practice, a higher prediction rate could be achieved by combining the First Three Hitting Rate with an English word dictionary.