Revolution in Automatic Translation with Deep Neural Networks

Abstract

The practical application of artificial intelligence advances in various fields by the appearance of deep neural networks. Automated translation is a typical success story. Higher accuracy of automatic translation by deep neural network after 2016 is revolutionary. There are not only general-purpose types but also field-specific types, and many services have been put on the market and are rapidly spreading. This paper explains the unique aspects of automatic translation in the background of higher accuracy, and describes in detail the significant contribution that non-researchers can make to higher accuracy of automatic translation. This paper also describes the present state and prospects of the automation of sequential and simultaneous interpretation, which will be possible by linking automatic translation with speech technology.