Hieroglyphic feature-based data processing

US2018365529A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018365529-A1
Application numberUS-201715848329-A
CountryUS
Kind codeA1
Filing dateDec 20, 2017
Priority dateJun 14, 2017
Publication dateDec 20, 2018
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A computer-implemented method and a system are proposed. According to the method, in response to receiving a character, a first representation of the character is generated by performing word embedding processing on the character. The first representation is related to context of the character. A second representation of the character is generated by performing convolutional neural network (CNN) processing on the character. The second representation is related to a hieroglyphic feature of the character. A label for the character is determined by performing recurrent neural network (RNN) processing on the first representation and the second representation. The label indicates an attribute of the character related to the context.

First claim

Opening claim text (preview).

1 . A computer-implemented method, comprising: in response to receiving a character, generating a first representation of the character by performing word embedding processing on the character, wherein the first representation is related to a context of the character; generating a second representation of the character by performing convolutional neural network (CNN) processing on a stroke of the character, the second representation being related to a hieroglyphic feature of the character, wherein the CNN processing comprises performing a Wubi Chinese character encoding method on the stroke, the CNN processing performed by a feed-forward CNN comprising a pooling layer, a convolutional connected layer, and a fully connected layer, wherein the CNN processing comprises performing convolution processing, sampling processing, and full-connection processing; and determining a label for the character by performing recurrent neural network (RNN) processing on the first representation and the second representation, the label indicating an attribute of the character related to the context.

Assignees

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Classifications

  • Classification techniques · CPC title

  • G06V10/82Primary

    using neural networks · CPC title

  • based on the proximity to a decision surface, e.g. support vector machines · CPC title

  • Combinations of networks · CPC title

  • Recurrent networks, e.g. Hopfield networks · CPC title

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What does patent US2018365529A1 cover?
A computer-implemented method and a system are proposed. According to the method, in response to receiving a character, a first representation of the character is generated by performing word embedding processing on the character. The first representation is related to context of the character. A second representation of the character is generated by performing convolutional neural network (CNN…
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification G06V10/82. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Dec 20 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).