Improvements of Google Neural Machine Translation

被引：0

作者：

李瑞 ^{[1
]}

蒋美佳 ^{[2
]}

机构：

[1] Chongqing Jiaotong University

[2] Zhejiang Gongshang University

来源：

海外英语 | 2017年 / 15期

关键词：

machine translation; machine translation improvement; translation; google neural machine translation; neural machine translation;

D O I：

暂无

中图分类号：

H085 [机器翻译];

学科分类号：

050211 ;

摘要：

Machine Translation has been playing an important role in modern society due to its effectiveness and efficiency,but the great demand for corpus makes it difficult for users to use traditional Machine Translation systems.To solve this problem and improve translation quality,in November 2016,Google introduces Google Neural Machine Translation system,which implements the latest techniques to achieve better outcomes.The conspicuous achievement has been proved by experiments using BLEU score to measure performance of different systems.With GNMT,the gap between human and machine translation is narrowing.

引用

页码：132 / 134

页数：3