Text translation method, device, storage medium and computer device

A text and sample technology, applied in computing, natural language translation, special data processing applications, etc., can solve the problems of low accuracy of text translation, achieve accurate translation results and improve translation quality

Active Publication Date: 2019-01-04
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a text translation method, device, computer-readable storage medium and computer equipment for the technical problem of low text translation accuracy

Method used

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  • Text translation method, device, storage medium and computer device
  • Text translation method, device, storage medium and computer device
  • Text translation method, device, storage medium and computer device

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0038] figure 1 It is an application environment diagram of the text translation method in an embodiment. refer to figure 1 , the text translation method is applied to a text translation system. The text translation system includes a terminal 110 and a server 120 . The terminal 110 can obtain the original source text, and send the original source text to the server 120. The server 120 determines to reconstruct the source text according to the initial source text, and then executes the text translation method to obtain the target text, and then returns the target text to...

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Abstract

The invention relates to a method, device, a readable storage medium and a computer device for text translation, including steps: obtaining an initial source text and reconstructing that source text,wherein the reconstructed source text is the source text obtained by supplementing the initial source text with missing word position information; carrying out semantic coding on the initial source text to obtain a source end vector sequence corresponding to the initial source text; a target end vector being obtained by sequentially decoding that source end vector sequence, and the target end vector being decoded according to the word vector of the candidate target word determined before each decoding, and the candidate target word of the current time being determined according to the target end vector of the current time; forming a target end vector sequence by sequentially decoding the target end vectors; performing reconstruction evaluation processing on the source vector sequence and the target vector sequence according to the reconstruction source text to obtain a reconstruction score corresponding to each candidate target word; a target text being generated according to that reconstruction score and the candidate target word. The scheme provided by the present application can improve the quality of translation.

Description

technical field [0001] The present application relates to the technical field of machine learning, in particular to a text translation method, device, computer-readable storage medium and computer equipment. Background technique [0002] Machine translation refers to the translation of one natural language text (the natural language text to be translated is generally called the source text) into another natural language text (the translated natural language text is called the target text) by computer to achieve different languages. conversion between texts. Different languages ​​have different grammar and sentence habits. For example, in languages ​​such as Chinese and Japanese, the lack of pronouns is a very common phenomenon. On the contrary, in languages ​​such as English and French, pronouns are used as sentences. Ingredients are essential. When translating from a pronoun-absent language (such as Chinese) to a non-pronoun-absent language (such as English), the implicit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28
CPCG06F40/58G06F40/30G06F40/47
Inventor 涂兆鹏王龙跃
Owner TENCENT TECH (SHENZHEN) CO LTD
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