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Text translation model training method and device

A translation model and training method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as unsatisfactory training results, improve generalization ability, good model generalization effect, translation The results are precise

Active Publication Date: 2019-12-06
IOL WUHAN INFORMATION TECH CO LTD
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Problems solved by technology

However, the training results of existing methods are not satisfactory.

Method used

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  • Text translation model training method and device
  • Text translation model training method and device
  • Text translation model training method and device

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0039] It should be noted that in the field of translation, the training text to be translated is usually translated by a commonly used machine translation engine (such as Google Translate). The result of this step is called the machine translation result, and will be manually edited by the translator. This step The result is called post-editing r...

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Abstract

The embodiments of the invention provide a text translation model training method and device. The method comprises the steps that a first training text set is acquired, the first training text set comprises first-class corpus data and second-class corpus data, a first translation model is trained through the first-class corpus data, and after the first translation model meets the training stoppingcondition, a second translation model is trained through the second-class corpus data, wherein the first translation model and the second translation model share part of model parameters, and the number of second-class corpus data input during training of the second translation model is smaller than the number of first-class corpus data input during training of the first translation model; and, after the second translation model meets the training stopping condition, whether the first translation model continues to be trained or not is judged, and if it is determined that the first translation model does not continue to be trained any more, the trained first translation model serves as a text translation model. According to the embodiments of the invention, the translation result obtainedby training is more accurate and the translation style is clearer.

Description

technical field [0001] The present invention relates to the technical field of text translation, and more specifically, to a training method and device for a text translation model. Background technique [0002] In the post-editing mode, the auxiliary translation tool invokes the machine translation engine to give a first draft of translation, and then professional translators review and edit it on this basis to produce high-quality translation results. [0003] At present, although the performance of neural network machine translation algorithms based on deep learning is exciting, its translation results lack personalization. The output results are often the same and there are many repetitions. Therefore, if personalized information is added to the machine translation engine, it can better provide translators with more personalized auxiliary translation, and thus improve the translation efficiency of translators. [0004] It has always been a very challenging research top...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28
Inventor 张睦
Owner IOL WUHAN INFORMATION TECH CO LTD
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