Confusion network distributed representation generation apparatus, confusion network classification apparatus, confusion network distributed representation generation method, confusion network classification method and program

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United States of America Patent

PATENT NO 11556783
APP PUB NO 20200218975A1
SERIAL NO

16641779

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Abstract

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There is provided a technique for transforming a confusion network to a representation that can be used as an input for machine learning. A confusion network distributed representation sequence generating part that generates a confusion network distributed representation sequence, which is a vector sequence, from an arc word set sequence and an arc weight set sequence constituting the confusion network is included. The confusion network distributed representation sequence generating part comprises: an arc word distributed representation set sequence transforming part that, by transforming an arc word included in the arc word set to a word distributed representation, obtains an arc word distributed representation set and generates an arc word distributed representation set sequence; and an arc word distributed representation set weighting/integrating part that generates the confusion network distributed representation sequence from the arc word distributed representation set sequence and the arc weight set sequence.

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Patent Owner(s)

  • NIPPON TELEGRAPH AND TELEPHONE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Masataki, Hirokazu Yokosuka, JP 3 13
Masumura, Ryo Yokosuka, JP 26 14

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