Online translating system and method based on mobile internet

Abstract

The invention provides an online translating system and method based on the mobile internet. The method comprises the following steps: step S1, receiving a translating request issued by a user; step S2, translating the translating request to a translator; step S3, receiving the order; step S4, carrying out translating service; step S5, carrying out on-hook; step S6, confirming service quality; step S7, billing; and step S8, finishing the translating service. The system comprises a user side module 11, a translator module 12 and an intermediary module 13, wherein the user side module 11 is used for receiving the translating request issued by a user; the translator module 12 is used for receiving the translating request issued by the user; and the intermediary module 13 is used for interacting, analyzing and recording information and request between the user side module 11 and the translator module 12. The online translating system and method based on the mobile internet has the advantages that contents translated in real time can be summarized, recorded and analyzed in real time, and reference is provided for files in translating and fibers about to be translated by a necessary statistic analysis process. Therefore, the translating efficiency and quality are improved effectively.

Description

technical field [0001] The invention relates to the field of network data processing, in particular to an online translation system and method based on the mobile internet. Background technique [0002] At present, online translation tools are mainly divided into two categories, one is machine translation based on artificial intelligence represented by Google and Baidu Translate, and the other is manual translation based on call centers, both of which have defects. [0003] Machine translation generally has a better effect on translation within the same language family, and less effective across language families. In the short term, artificial intelligence can only improve machine translation to a limited extent. The languages ​​of the world can be roughly divided into 9 language families. There are major differences between the language families because of the subject-verb-object sequence, grammar and voice, etc., and machine translation often fails to achieve good results....

AI Technical Summary

Problems solved by technology

However, it still has the following defects: translators cannot check in and check out at any time, and cannot set their own working hours, so they cannot support part-time translators; they cannot summarize, record and analyze real-time translated content in a timely manner, and Failure to pass the necessary statistical analysis process to provide reference or reference for the document being translated or the document to be translated in the future, which leads to low translation efficiency and low quality; the use of a centralized scheduling system is likely to cause a single point of failure

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