A Survey of Research and Application of NLP-based Machine Translation
Youyao Liu, Yuechi Ma, Sicong Zhou, Xun Luo · 2024
Machine translation is the process of using computers to convert one natural language into another natural language, shouldering the important task of building a language communication bridge. It has always been a concern research direction in natural language processing. As the latest paradigm of machine translation, neural machine translation completely relies on a neural network to execute the translation process from the source language to the target language. Thanks to the development of artificial intelligence, rich research results have been achieved in recent years, effectively alleviating the bottleneck problem of statistical machine translation. This paper first compares neural machine translation with other machine translation methods, then introduces the mainstream neural machinetranslation models, and finally introduces the problems and challenges faced by neural machine translation.