神经机器翻译研究——洞见与前景

A Study of Neural Machine Translation:Insights and Prospects

本文首先简介神经机器翻译,解析其基本原理、主流框架、注意力机制;其次探讨基于注意力机制的神经机器翻译存在的主要问题:集外词翻译、长难句翻译、小语种翻译,并就此问题及最新洞见予以阐述、探究、评析;最后展望基于注意力机制的神经机器翻译的未来发展态势:走向文档级翻译、多语言翻译、多模态翻译及无监督翻译。

First,the mainstream framework and attention mechanism of neural machine translation are introduced.Then,the frontiers and challenges mainly comprising the untranslatability of out-of-vocabulary words,poor quality of long-sentence rendering,and difficulty in minority-language translating,of current attention-based neural machine translation are unveiled via an exploration of its development status.Finally,the future orientations,particularly,of moving to the document-level,multilingual,multimodal and unsupervised translation of attention-based neural machine translation are prospected.