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Text processing model operation method and device, electronic equipment and storage medium

A technology for text processing and operation methods, applied in neural learning methods, biological neural network models, natural language analysis, etc.

Pending Publication Date: 2020-03-24
BEIJING BYTEDANCE NETWORK TECH CO LTD
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Problems solved by technology

This is unacceptable in terms of machine cost and user experience in business scenarios with tens of thousands of translation requests per second

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  • Text processing model operation method and device, electronic equipment and storage medium
  • Text processing model operation method and device, electronic equipment and storage medium
  • Text processing model operation method and device, electronic equipment and storage medium

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Embodiment Construction

[0036] In order to make the technical problems solved by the embodiments of the present disclosure, the technical solutions adopted and the technical effects achieved clearer, the technical solutions of the embodiments of the present disclosure will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only Some of the embodiments of the present disclosure are not all of the embodiments. Based on the embodiments in the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the embodiments of the present disclosure.

[0037] It should be noted that the terms "system" and "network" in the embodiments of the present disclosure are often used interchangeably herein. The "and / or" mentioned in the embodiments of the present disclosure refers to including any and all combinations of one or more related listed items...

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Abstract

Embodiments of the invention disclose a text processing model operation method and device, an electronic device and a storage medium, the text processing model comprises at least one encoder layer andat least one decoder layer, and the method is characterized by comprising the steps of obtaining an input text vector; inputting the text vector into at least one encoder layer for processing to forma hidden layer vector; inputting the hidden layer vector into at least one decoder layer for processing to generate an output text vector, wherein in the data calculation process of the encoder layerand / or the decoder layer, a combined kernel function is called to process the data, the combined kernel function comprises at least two basic kernel functions, the basic kernel functions are used forcompleting mathematical level calculation of the data, and the combined kernel function is used for completing functional level calculation of the data. According to the technical scheme of the embodiment, the read-write frequency of the video memory of the GPU can be reduced, and the operation efficiency can be improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of natural language processing, and in particular to an operation method, device, electronic equipment, and storage medium of a text processing model. Background technique [0002] In the field of natural language processing, a sequence-to-sequence (seq2seq) model is usually used for processing, which mainly includes at least one encoder and at least one decoder. The main principle of the seq2seq model is: split the source sentence into word sequences, input the encoder, and output the vector of the hidden layer; the hidden layer vector is used as the input of the decoder, which can generate a target vocabulary at each time step, and the latter target Vocabulary is generated based on the hidden layer and the previous output target vocabulary, and the final target vocabulary sequence constitutes the translated target sentence. [0003] Usually, when the seq2seq model performs natural l...

Claims

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Application Information

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IPC IPC(8): G06F40/20G06N3/08
CPCG06N3/084Y02D10/00
Inventor 王晓晖李磊
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD
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