System and method for real-time language translation service

Abstract

The invention discloses a system for real-time language translation service. The system is used for serving supply and requisitioning parties needing language translation and comprises a service module, a communication module and client modules, wherein the service module is used for crowdsourcing human translation and performing user management; the communication module is used for instantly transmitting information among the client modules in an instant messaging and / or P2P (Peer-to-Peer) mode; the client modules are used for accessing a crowdsourcing management module; the client modules are used for inputting and outputting translation requests and translation results and providing user interaction and self services; the communication module is respectively connected with the service module and the client module. The invention also discloses a method for the real-time service of the language translation. On the one hand, the invention provides a language translation tool with the advantages of good accuracy, real time, good convenience and flexibility as well as low price for the public; on the other hand, the invention provides a platform by which personal translation competence for language is fully exerted to help others and corresponding rewards or remuneration is got for the public. According to the system and the method disclosed by the invention, professional needs and daily needs of the public can be met.

Description

technical field [0001] The invention relates to the field of instant messaging and language translation, in particular to an instant language translation service system and method. Background technique [0002] With the increasing frequency of global economic cooperation and international exchanges, people urgently need accurate, instant, convenient, flexible and cheap language translation tools or services. Most of the existing language translation technology solutions focus on machine translation, intelligent analysis, speech recognition, speech synthesis, etc., and have made great progress, and have good results in word, phrase, and simple text translation. Human speech, especially human speech, is accompanied by many factors such as pronunciation, grammar, intonation, tone, speech speed, context, etc. It is still a worldwide problem for machine translation to communicate freely like humans, so it will take a long time Human translators will remain the main route to lang...

AI Technical Summary

Problems solved by technology

[0003] On the other hand, we see that there are many professional or semi-professionals who translate various languages ​​around the world. Due to factors such as distance, cost, demand, and division of labor, their language translation capabilities are not fully utilized or even left idle, resulting in a waste of resources.

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