Fourth International Conference Document Analysis and Recognition (ICDAR'97) Lexical Analyzer based on a Self-Organizing Feature Map Ulm, GERMANY August 18-August 20 ISBN: 0-8186-7898-4
In a lexical analyzer, the scanning of a whole dictionary using an editing distance is of very high computational cost. We present a lexical analyzer designed to focus on a very limited sub-set of the whole dictionary. The system is based on a Self-Organizing Feature Map which maps the dictionary on a two-dimensional space. The neighborhood relationships on this space are then used to define a short list of hypotheses. We introduce a multi-staged pyramidal network to speed-up the access and we present the performance of the system. these results are then interpreted.
Index Terms:
Lexical analysis, self-organizing map, editing distance, neural network
Citation:
G.Menier G. Lorette, "Lexical Analyzer based on a Self-Organizing Feature Map," icdar, pp.1067, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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