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Method for translating Szechwan accent and German with RBH (Random Black Hole) neural network model

A neural network model and neural network technology, applied in the application field of the RBH neural network model in artificial intelligence, can solve the problems of high labor intensity for simultaneous interpreters, unacceptable carrying of interpreters, and non-standard Mandarin pronunciation.

Inactive Publication Date: 2018-10-09
湖南本来文化发展有限公司
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AI Technical Summary

Problems solved by technology

[0002] With the acceleration of the internationalization process, the demand for simultaneous interpretation is increasing. However, the existing simultaneous interpretation is done by people. Professional simultaneous interpretation personnel are labor-intensive, and the translation accuracy is easily affected by personal physical factors. In an international conference, if the conference lasts for a long time, the translator’s physical strength and energy will continue to be exhausted, and the accuracy of the translation will decrease due to fatigue; when individuals travel abroad, due to the high salary level of professional simultaneous interpretation, generally It is difficult for ordinary people to travel with a translator; for people with a strong Sichuan accent and substandard Mandarin pronunciation, when translating their sentences, if the translator is a foreigner who does not understand the Sichuan accent, it is very easy to make mistakes and cause losses

Method used

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  • Method for translating Szechwan accent and German with RBH (Random Black Hole) neural network model
  • Method for translating Szechwan accent and German with RBH (Random Black Hole) neural network model
  • Method for translating Szechwan accent and German with RBH (Random Black Hole) neural network model

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Embodiment 1

[0013] Example 1: In a long international conference that took up to 5 hours, the speaker spoke fast, and the Chinese speaker spoke with a Sichuan accent, and the Chinese simultaneous interpreters sent by the German side had limited understanding of the Sichuan accent , and after a long period of simultaneous interpretation with a high concentration of attention, the accuracy of the translation gradually decreased with fatigue. Tired, always able to maintain a stable high level of translation accuracy, better than human translators.

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Abstract

The invention discloses a method for translating Szechwan accents and German with an RBH (Random Black Hole) neural network model. In the method, six modules of (1) the RBH neural network model, (2) an audio large database of Szechwan accents, (3) an audio large database of German, (4) a Chinese grammar database, (5) a German grammar database and (6) an audio acquisition and output device are included. Through the abovementioned modules, an RBH neural network translation model is enabled to replace professional senior translators so as to rapidly and efficiently provide simultaneous interpretations between the Szechwan accents and German for users at a low price.

Description

technical field [0001] The invention relates to the application field of the RBH neural network model in artificial intelligence, in particular to a method for translating Sichuan accent and German with the RBH neural network model. Background technique [0002] With the acceleration of the internationalization process, the demand for simultaneous interpretation is increasing. However, the existing simultaneous interpretation is done by people. Professional simultaneous interpretation personnel are labor-intensive, and the translation accuracy is easily affected by personal physical factors. In an international conference, if the conference lasts for a long time, the translator’s physical strength and energy will continue to be exhausted, and the accuracy of the translation will decrease due to fatigue; when individuals travel abroad, due to the high salary level of professional simultaneous interpretation, generally It is difficult for ordinary people to travel with a trans...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28G06N3/04G06N3/08
CPCG06N3/08G06F40/58G06N3/045
Inventor 邱念
Owner 湖南本来文化发展有限公司
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