Translation method, device and computer program product

A post-translation and machine learning technology, applied in the field of artificial intelligence, can solve problems such as translation errors, sentence mistranslations, current intervention, etc., and achieve the effect of improving translation accuracy

Active Publication Date: 2022-07-08
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

For example, the English word current corresponds to multiple translated words such as current and current in Chinese. Since most of the corpus is translated as "current", translation errors in many p

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  • Translation method, device and computer program product
  • Translation method, device and computer program product
  • Translation method, device and computer program product

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[0025] Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0026] In the technical solutions of the present disclosure, the collection, storage, use, processing, transmission, provision, and disclosure of the user's personal information involved are all in compliance with relevant laws and regulations, and do not violate public order and good customs.

[0027] figure 1 An exemplary architecture 100 is shown to which the tr...

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Abstract

The invention provides a translation method and device, electronic equipment, a storage medium and a computer program product, relates to the technical field of artificial intelligence, in particular to a deep learning technology, and can be used in a translation scene. According to the specific implementation scheme, coding features of a to-be-translated statement are determined through a coding module; knowledge fusion features of the to-be-translated statement are determined through a graph network module on the basis of a preset graph network, and the preset graph network is constructed on the basis of polysemy words in a source language corresponding to the to-be-translated statement and multiple translation words corresponding to the polysemy words in a translated language; and based on the coding feature and the knowledge fusion feature, determining a translated statement corresponding to the to-be-translated statement through a decoding network. The problem that in the prior art, an intervention-based machine translation model is difficult to globally understand sentences is solved, and the translation accuracy is improved.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, in particular to deep learning technology, and in particular to translation methods, devices, and translation model training methods, devices, electronic devices, storage media, and computer program products, which can be used in translation scenarios. Background technique [0002] In the case of polysemy, determining the correct translation result of polysemy is a translation problem faced by neural network translation systems. For example, the English word current corresponds to a number of translated words such as current and current in Chinese. Since most of the corpus is translated as "current", translation errors in many professional fields occur; however, it is not possible to directly translate current intervenes into "current", otherwise it will lead to mistranslation of sentences in many general fields. SUMMARY OF THE INVENTION [0003] The present disclosure provides ...

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Application Information

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IPC IPC(8): G06F40/44G06F40/58G06N3/04G06N3/08
CPCG06F40/44G06F40/58G06N3/08G06N3/042G06N3/045G06N3/044G06F40/237G06F40/30G06N3/0455G06N3/0442G06N3/0464
Inventor 张睿卿刘辉何中军李芝吴华
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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