Multi-language intelligent translation system based on artificial intelligence

By introducing corpus management module and translation quality improvement module into the multilingual intelligent translation system, the problem of scarce language translation capabilities and insufficient accuracy of context translation is solved, efficient and accurate multilingual translation is achieved, and data privacy and security are guaranteed.

CN119849516APending Publication Date: 2025-04-18王明亮
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Patent Information

Application Number
CN202411878298.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-04-18

AI Technical Summary

Technical Problem

The existing multilingual intelligent translation system has insufficient support for scarce languages ​​and the accuracy of contextual translation, resulting in limited translation capabilities of scarce languages.

Method used

A multilingual intelligent translation system based on artificial intelligence is designed. Through the corpus management module, a semantic mapping data of high-resource and scarce languages ​​is generated using unified semantic representation technology, and a target language output is generated through the translation quality improvement module.

Benefits of technology

It effectively improves the translation efficiency and accuracy of multilingual and scarce languages, expands the quality and coverage of scarce language corpus, and ensures data privacy and security through privacy and security modules and cloud-end collaboration modules.

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Abstract

The invention relates to the technical field of language translation, and discloses a multi-language intelligent translation system based on artificial intelligence, and the system comprises an acquisition module which is used for receiving externally inputted voice information or text information; the corpus management module is used for receiving the text information transmitted by the acquisition module; the translation quality improving module is used for providing semantic mapping data based on the corpus management module; the privacy and security module is used for receiving the translation result generated by the translation quality improvement module; and the cloud-end cooperation module is used for coordinating task scheduling among the acquisition module, the corpus management module, the translation quality improvement module and the privacy and security module. Semantic mapping data of high resources and scarce languages is generated through a corpus management module and is called by a translation quality improvement module; the translation quality improving module generates target language output through context modeling and multi-stage translation, efficient cooperation of multi-language and scarce language translation can be achieved, and translation efficiency and accuracy are improved.
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