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Browsing University of Hertfordshire by Author "Lyon, C."
Now showing items 21-27 of 27
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Speech-Based Real-Time Subtitling services
Lambourne, A.; Hewitt, J.; Lyon, C.; Warren, S. (2004)Recent advances in technology have led to the availability of powerful speech recognizers at low cost and to the possibility of using speech interaction in a variety of new and exciting practical applications. The purpose ... -
A text annotation method based on semantic sequences
Bao, J.; Lyon, C.; Lane, P.C.R. (2007)This paper presents a text annotation method based on semantic sequences to label a document and a cluster of documents. The basic idea underlying the semantic sequence approach is to find locally frequent meanings to act ... -
A theoretical basis to the automated detection of copying between texts, and its practical implementation in the Ferret plagiarism and collusion detector
Lyon, C.; Barrett, R.; Malcolm, J. (2004)Fundamental features of natural language can be exploited to produce an effective system for the--automated detection of plagiarism and collusion. Independently written texts can be effectively identified--as they have ... -
The use of metrics in connectionist psychological models
Lyon, C.; Davey, N. (University of Hertfordshire, 1993)Models of psychological and cognitive phenomena that are based on connectionist processing have recently been described. These include Norris's back propagation model, Schyns's model based on Kohonen nets and Hinton and ... -
Using a neural net to determine the language in which a text is written
Lyon, C.; Matthews, C. (University of Hertfordshire, 1995)There are statistical patterns of letter sequences in natural language, and different languages have different characteristic patterns. This effect can be used to determine in which language a text is written. The patterns ... -
Using single layer networks for discrete, sequential data: an example from natural language processing
Lyon, C.; Frank, R. (1997)Natural Language Processing (NLP) is concerned with processing ordinary, unrestricted text. This work takes a new approach to a traditional NLP task, using neural computing methods. A parser which has been successfully ... -
Using single layer networks for discrete, sequential data: an example from natural language processing. [extended version]
Lyon, C. (University of Hertfordshire, 1996)Supervised, feed-forward networks will, in general, need more than one layer to process data. However, if they can be used, single layer networks offer advantages of functional transparency and operational speed. Now, in ...