英语到印度语言的实时机器翻译系统

Raj Vyas, Kirti Joshi, Hitesh Sutar, Tatwadarshi P. Nagarhalli
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引用次数: 5

摘要

对人类来说,理解不同的语言是很困难的。由于印度有超过22种官方语言,一个人要掌握所有的语言变得非常困难,在这种情况下,沟通成为障碍,这就是可能需要人工翻译的地方。不能保证每次都有口译员。由于这种机器翻译(MT)系统进入了人们的视野。机器翻译将单词从一种语言替换为另一种语言。这个项目背后的想法是通过使用NLP实现实时音频作为输入的语言实时翻译。学习语言是由计算机完成的。拟议的系统将以实时英语音频作为输入,并将英语翻译成印度语言,并将以印度语言产生音频输出。翻译系统将使用OpenNMT。OpenNMT是NMT和神经序列建模的开源倡议。NMT用于自动翻译,这有助于两端的学习过程,从而克服了以前基于翻译系统的许多弱点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Time Machine Translation System for English to Indian language
For humans it is difficult to understand different languages. As in India there are more than 22 official languages it becomes extremely difficult for a human to know all the languages, in this type of cases communication becomes a hindrance, this is where human interpreters might be required. It cannot be assured that human interpreters would be available every time. Due to this Machine Translation (MT) system comes into picture. MT performs replacement of words from one language to another. The idea behind this project is to achieve the real-time translation of languages with respect to real-time audio as an input by using NLP. It is done by the computers to learn the languages. The proposed system will take real-time English audio as an input and will translate English into Indian language and will produce audio output in the Indian language. The translation system will make use of OpenNMT. OpenNMT is an open source initiative for NMT and neural sequence modeling. NMT is used for automated translation which helps in learning process for both ends which is used to overcome many weaknesses of previously based translation systems.
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