Man-machine co-translation system and method based on exclusive engine turnover training

A translation engine, machine translation technology, applied in natural language translation and other directions, can solve problems such as no effective solutions are given

Active Publication Date: 2020-09-18
IOL WUHAN INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Therefore, how to balance the working time of human translation and machine translation, when and how to intervene in human translation, and how to meet the needs of large-scale semantic translation while ensuring accuracy, the existing technology has not given an effective solution. s solution

Method used

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  • Man-machine co-translation system and method based on exclusive engine turnover training
  • Man-machine co-translation system and method based on exclusive engine turnover training
  • Man-machine co-translation system and method based on exclusive engine turnover training

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Embodiment Construction

[0042] In the following, the invention will be further described in conjunction with the accompanying drawings and specific embodiments.

[0043] refer to figure 1 , an overall architecture diagram of a human-machine co-translation system based on exclusive machine translation engine training according to an embodiment of the present invention.

[0044] figure 1 Among them, the man-machine co-translation system includes a source text input component and a semantic recognition module connected with the source text input component, a dedicated machine translation engine training ring, a man-machine co-translation window, a difference comparison interface and a reverse comparison translation engine.

[0045] exist figure 1 wherein, the dedicated machine translation engine training loop receives feedback training loop signals from the man-machine co-translation window;

[0046] The man-machine co-translation window is respectively connected to the difference comparison interfa...

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Abstract

The invention provides a man-machine co-translation system based on exclusive engine turnover training, a man-machine co-translation method based on feedback training loop signals and a computer readable storage medium for realizing the method. According to the technical scheme, the system comprises a source text input component, and a semantic recognition module, an exclusive machine turning engine training ring, a man-machine translation window, a difference comparison interface and a reverse comparison translation engine which are connected with the source text input component. According tothe technical scheme, the result of machine translation can be utilized to the maximum extent, meanwhile, manual proofreading is conducted on translation results which may be wrong as much as possible, and the accuracy is improved while the efficiency is guaranteed, so that the accurate opportunity of manual translation intervention is provided, the translation efficiency can be guaranteed for large-scale corpus translation and translation occasions with high accuracy requirements, and meanwhile the translation accuracy is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of translation, and in particular relates to a human-computer co-translation system based on exclusive machine translation engine training, a man-machine co-translation method based on a feedback training loop signal, and a computer-readable storage medium for realizing the method. Background technique [0002] The dream of achieving high-quality machine translation has existed for many years, and many scientists have dedicated their time and efforts to this dream. From the early rule-based machine translation to the widely used neural machine translation today, the level of machine translation has been continuously improved, and it has been able to meet the basic application requirements of many scenarios. [0003] The two most important methods of machine translation at present are the rule method and the statistical method. Rule based machine translation (RBMT), which analyzes the text according to langu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/58
CPCG06F40/58
Inventor 王莲
Owner IOL WUHAN INFORMATION TECH CO LTD
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