神经机器翻译综述

机器翻译研究在非人工干预的情况下,利用计算机自动地实现不同语言之间的转换,是自然语言处理和人工智能的重要研究领域,神经机器翻译(neural machine translation,NMT)利用神经网络实现源语言到目标语言的转换,是一种全新的机器翻译模型.神经机器翻译经过最近几年的发展,取得了丰富的研究成果,在很多语言对上超过了统计机器翻译方法.首先介绍神经机器翻译的基本思想和主要方法,然后对最新的前沿进展进行综述,最后对神经机器翻译的未来发展方向进行展望.

A summary review of neural machine translation

Machine translation without human interference and dependent on computers is an important research field of natural language processing and artificial intelligence. Neural machine translation( NMT) as a brand-new machine translation model uses the neural network to complete the translation process from the source language to the target language. Neural machine translation has achieved abundant research results in recent years,and has beaten statistical machine translation methods in terms of many language pairs. This paper first introduces the basic principles and main methods of neural machine translation,then summarizes the latest advances,and finally predicts the development of neural machine translation.