On-demand language processing system and method
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United States of America Patent
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Aug 21, 2001
Grant Date -
N/A
app pub date -
Dec 12, 1995
filing date -
Dec 12, 1995
priority date (Note) -
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Abstract
A language recognition methodology is provided whereby any finite-state model of context may be used in a very general class of decoding cascades, and without requiring specialized decoders or full network expansion. The methodology includes two fundamental improvements: (1) a simple generalization, weighted finite-state transducers, of existing network models, and (2) a novel on-demand execution technique for network combination. With the methodology of the invention one or more of the network cascades are formulated as a finite state transducer, and is composed, for a selected portion of the network, with a next successively higher level of the network cascade to prescribe a mapped portion of that next successively higher level corresponding to the portion of the network cascade selected to be expanded.
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