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Operation method, device and equipment of neural network text translation model and medium

A translation model and neural network technology, applied in the field of natural language processing, can solve problems such as meaningless words and unknown words

Pending Publication Date: 2020-07-10
JIANGSU SUNYU INFORMATION TECH CO LTD
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Problems solved by technology

However, the translated text often has the problem of unknown words or nonsense words

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  • Operation method, device and equipment of neural network text translation model and medium
  • Operation method, device and equipment of neural network text translation model and medium
  • Operation method, device and equipment of neural network text translation model and medium

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Embodiment Construction

[0033] 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.

[0034] 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 an operation method and device of a neural network text translation model, an electronic device and a storage medium. The neural network text translation model comprises an encoder layer, an attention mechanism layer and a decoder layer, and the method comprises the steps: inputting a source language vocabulary sequence into the encoder layer for processing toform an implicit structure vector; controlling an attention mechanism layer to generate a vocabulary alignment table; inputting the implicit structure vector and a context vector when each vocabularyis translated into a decoder layer for processing to generate a target language vocabulary sequence; acquiring unknown characters in the target language vocabulary sequence, and determining source language vocabularies in the source language vocabulary sequence corresponding to the unknown characters according to the vocabulary alignment table; translating the source language vocabulary to obtaina target language vocabulary; and replacing the unknown characters in the target language vocabulary sequence by the target language vocabularies, so the unknown characters in the translation resultcan be reduced or even completely eliminated.

Description

technical field [0001] Embodiments of the present disclosure relate to the technical field of natural language processing, and in particular to an operating method, device, electronic equipment, and storage medium of a neural network text translation model. Background technique [0002] Traditional SMT (Statistical Machine Translation, Statistical Machine Translation) obtains the probability of translation rules from a parallel corpus, and converts words or phrases in the source language into words or phrases in the target language according to the probability. However, the SMT method does not reflect the connection between distant phrases, so the translation often lacks fluency. [0003] Compared with SMT, NMT (Neural Machine Translation, Neural Machine Translation) expresses the source language as a decentralized representation based on a numerical vector, converts it using a neural network, and calculates the vocabulary string of the target language based on the obtained ...

Claims

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Application Information

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IPC IPC(8): G06F40/44G06F40/58G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 单杰
Owner JIANGSU SUNYU INFORMATION TECH CO LTD
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