大数据时代的多用户多语言协同语音翻译系统和方法

Mengyang Xing
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引用次数: 0

摘要

在信息技术和网络技术飞速发展的今天,人类社会的文化知识相互交融,人们获取信息的途径也越来越多。面对不断增长的、由不同语言组成的各类信息,研究人员提出利用机器翻译技术构建辅助翻译系统,在日常学习和生活工作中发挥重要作用。本文在了解了大数据时代语音翻译系统的研究和应用现状后,主要根据新时代多语言辅助翻译系统的应用特点,探讨了多用户多语言协同语音翻译系统的架构,并从行业长远发展的角度出发,提出了切实可行的应用方法,让世界经济和文化相互交流。充分展示设计系统的翻译效率和应用质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-user and multi-language collaborative speech translation system and method in the era of big data
In the rapid development of information technology and network technology, the cultural knowledge of human society blends with each other, and people have more and more ways to obtain information. Faced with the continuous growth and various types of information composed of different languages, researchers have proposed to use machine translation technology to build auxiliary translation system, which can play an important role in daily learning and life work. After understanding the research and application status of speech translation system in the era of big data, this paper mainly explores the architecture of multi-user and multi-language collaborative speech translation system according to the application characteristics of multi-language assisted translation system in the new era, and puts forward practical application methods from the perspective of long-term development of the industry, so as to let the world economy and culture communicate with each other. Fully demonstrate the translation efficiency and application quality of the design system.
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