Adaptive models of English text
Citation
Export citationTeahan, W.J. & Cleary, J.G. (1997). Adaptive models of English text. (Working paper 97/30). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
Permanent Research Commons link: https://hdl.handle.net/10289/1126
Abstract
High quality models of English text with performance approaching that of humans is important for many applications including spelling correction, speech recognition, OCR, and encryption. A number of different statistical models of English are compared with each other and with previous estimates from human subjects. It is concluded that the best current models are word based with part of speech tags. Given sufficient training text, they are able to attain performance comparable to humans.
Date
1997-11Type
Report No.
97/30
Publisher
Department of Computer Science, The University of Waikato
Collections
- 1997 Working Papers [31]