Data enhancement method of chapter translation network
A text and network technology, applied in the field of text data processing, can solve problems such as inability to improve translation effects, insufficient data volume, and affect translation effects, so as to improve translation effects, increase loyalty and accuracy
Pending Publication Date: 2020-10-13
BEIJING UNISOUND INFORMATION TECH +1
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Problems solved by technology
At present, in the realization of artificial intelligence translation tasks, the commonly used translation mode is to train the translation network model through sentence-level bilingual corpus, but in the actual operation process, due to the lack of contextual information, the translation results are prone to low loyalty and accuracy Case
Although the text translation data can be obtained from web crawling, if the data volume of the text translation data is not enough, and it cannot be guaranteed to be of the same origin as the sentence-level bilingual corpus, this will make it impossible to improve the translation effect even if there is text data, that is, The quality of text data will directly affect the translation effect
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[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.
[0054] refer to figure 1 , is a schematic flowchart of the overall flow of the data enhancement method for the text translation network provided by the embodiment of the present invention. The data enhancement method of the article translation network includes the following steps:
[0055] Step T1, according to the source corpus S1 and the target corpus S2 of the source language, the preset generation network is trained, so as to obtain the source generation netwo...
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The invention provides a data enhancement method of a chapter translation network, and the data enhancement method of the chapter translation network generates corresponding chapter translation data by utilizing an NLU field generation network, and can enrich the data volume of the chapter data and improve the quality of the chapter data so as to improve the translation effect of the chapter translation network. Besides, according to the data enhancement method, context information is effectively and accurately introduced into a translation process through a context association function module, namely a text translation network, so that the faithfulness and the accuracy of a translation result are improved to the maximum extent.
Description
technical field [0001] The invention relates to the technical field of discourse data processing, in particular to a data enhancement method for discourse translation networks. Background technique [0002] Artificial intelligence technology has been widely used in different workplaces, and it especially has an important impact on language translation occasions. At present, in the realization of artificial intelligence translation tasks, the commonly used translation mode is to train the translation network model through sentence-level bilingual corpus, but in the actual operation process, due to the lack of contextual information, the translation results are prone to low loyalty and accuracy Case. Although the text translation data can be obtained from web crawling, if the data volume of the text translation data is not enough, and it cannot be guaranteed to be of the same origin as the sentence-level bilingual corpus, this will make it impossible to improve the translatio...
Claims
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Login to View More IPC IPC(8): G06F40/42G06F40/58
CPCG06F40/42G06F40/58Y02D10/00
Inventor 陈巍华
Owner BEIJING UNISOUND INFORMATION TECH