Machine Translation Technology Based on Natural Language Processing

Abstract

The development of machine translation technology closely follows that of information science. It is a breakthrough in natural language processing and a big step forward in the field of artificial intelligence. The purpose of this paper is to study the application of machine translation technology based on natural language processing. This paper introduces the relationship between natural language processing and machine translation technology, expounds the research importance of machine translation technology in natural language processing and the research status at home and abroad. The application of neural network in natural language processing machine translation system is introduced. At the same time, for the existing machine translation system, a neural network machine translation system based on reinforcement learning is proposed. And analyze the machine translation of different models through case studies. Finally, the Python software is used to implement the program, and the accuracy of the Transformer-PG-NMT model is obtained.