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Machine translation method and device, electronic equipment and storage medium

A machine translation and storage medium technology, applied in the field of machine translation, can solve the problems of small number of translation samples and inability to effectively improve the effect of machine translation in rare languages

Active Publication Date: 2019-04-02
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the number of translation samples generated by the back-translation method is small, which cannot effectively improve the effect of machine translation in rare languages.

Method used

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  • Machine translation method and device, electronic equipment and storage medium
  • Machine translation method and device, electronic equipment and storage medium
  • Machine translation method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] figure 1 It is a schematic flow chart of the machine translation method provided in Embodiment 1 of the present invention. The method can be executed by a machine translation device or electronic device. The device or electronic device can be implemented by software and / or hardware. The device or electronic device can be Integrate in any smart device with network communication function. like figure 1 As shown, the machine translation method may include the following steps:

[0045] S101. Translate the initial text to be translated in the source language into an initial candidate translation in the target language corresponding to it.

[0046]In a specific embodiment of the present invention, the electronic device may translate the initial text to be translated in the source language into the corresponding initial candidate translation in the target language. Specifically, the electronic device can use a statistical-based machine translation method to translate the or...

Embodiment 2

[0055] figure 2 It is a schematic flowchart of the machine translation method provided by Embodiment 2 of the present invention. like figure 2 As shown, the machine translation method may include the following steps:

[0056] S201. Translate the initial text to be translated in the source language into an initial candidate translation in the target language corresponding to it.

[0057] In a specific embodiment of the present invention, the electronic device may translate the initial text to be translated in the source language into the corresponding initial candidate translation in the target language. Specifically, the electronic device can use a statistical-based machine translation method to translate the original text to be translated in the source language into an initial candidate translation in the target language corresponding to it; or, the electronic device can also use an example-based machine translation method to translate the text in the source language The...

Embodiment 3

[0069] image 3 It is a schematic flowchart of the machine translation method provided by Embodiment 3 of the present invention. like image 3 As shown, the machine translation method may include the following steps:

[0070] S301. Translate the initial text to be translated in the source language into an initial candidate translation in the target language corresponding to it.

[0071] In a specific embodiment of the present invention, the electronic device may translate the initial text to be translated in the source language into the corresponding initial candidate translation in the target language. Specifically, the electronic device can use a statistical-based machine translation method to translate the original text to be translated in the source language into an initial candidate translation in the target language corresponding to it; or, the electronic device can also use an example-based machine translation method to translate the text in the source language The i...

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Abstract

The embodiment of the invention discloses a machine translation method and device, electronic equipment and a storage medium. The method comprises the steps of translating an initial to-be-translatedtext of a source language into an initial candidate translated text of a target language corresponding to the initial to-be-translated text; obtaining similar candidate translations of M target languages corresponding to the initial candidate translations of the target language, wherein M is a natural number greater than 1; translating the initial candidate translated text of the target language into similar to-be-translated texts of N source languages corresponding to the initial candidate translated text, wherein N is a natural number greater than 1; and determining the target candidate translated text of the target language corresponding to the initial text to be translated of the source language according to the similar candidate translated texts of the M target languages and the similar text to be translated of the N source languages. And a large number of translation samples can be generated, so that the machine translation effect of the scarce language can be effectively improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine translation, and in particular, to a machine translation method, device, electronic equipment, and storage medium. Background technique [0002] Machine translation is a technology that uses a machine to translate a sentence to be translated input by a user to obtain a target sentence. Machine translation based on neural network is currently the best machine translation method. In this method, the neural network model parameters are automatically fitted by training the neural network, thereby realizing the mapping from the source language to the target language. However, in the process of machine translation, the translation of scarce corpus has always been a relatively big challenge. Especially when translating small languages, it is difficult to fit parameters in machine translation methods based on neural networks. For example, there are many separate Chinese corpus and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28
CPCG06F40/58
Inventor 张睿卿何中军吴华王海峰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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