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Finite stochastic automata with variable transition probabilities

โœ Scribed by J. J. Paredaens

Publisher
Springer Vienna
Year
1973
Tongue
English
Weight
742 KB
Volume
11
Category
Article
ISSN
0010-485X

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It is well known that language models are effective for increasing the accuracy of speech and handwriting recognizers, but large language models are often required to achieve low model perplexity (or entropy) and still have adequate language coverage. We study three efficient methods for variable or