[1]翟煜锦,李培芸,项青宇,等.基于QE的机器翻译重排序方法研究[J].江西师范大学学报(自然科学版),2020,(01):46-50+88.[doi:10.16357/j.cnki.issn1000-5862.2020.01.08]
　ZHAI Yujin,LI Peiyun,XIANG Qingyu,et al.The Study on the Method of Machine Translation Reordering Based on QE[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(01):46-50+88.[doi:10.16357/j.cnki.issn1000-5862.2020.01.08]
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基于QE的机器翻译重排序方法研究()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年01期
页码:
46-50+88
栏目:
机器翻译
出版日期:
2020-02-10

文章信息/Info

Title:
The Study on the Method of Machine Translation Reordering Based on QE
文章编号:
1000-5862(2020)01-0046-05
作者:
翟煜锦; 李培芸; 项青宇; 李茂西*; 裘白莲; 钟茂生; 王明文
江西师范大学计算机信息工程学院,江西 南昌 330022
Author(s):
ZHAI Yujin; LI Peiyun; XIANG Qingyu; LI Maoxi*; QIU Bailian; ZHONG Maosheng; WANG Mingwen
College of Computer Information Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China
关键词:
机器翻译;  机器翻译质量估计;  重排序;  编码器-解码器模型;  卷积神经网络
Keywords:
machine translation;  machine translation quality estimation;  reordering;  encoder-decoder model;  convolutional neural network
分类号:
TP 391
DOI:
10.16357/j.cnki.issn1000-5862.2020.01.08
文献标志码:
A
摘要:
该文提出了一种融合BERT语境向量的多模型集成的翻译质量估计方法,以及基于译文质量估计的多候选译文重排序方法,实验结果表明,这2种方法均取得了较好的实验效果.
Abstract:
A multi-model ensemble quality estimation method is proposed,which integrates the BERT context vectors.Based on quality estimation,a multi-candidate translation reordering method has been proposed.The experimental results show that both methods have achieved good results.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-09-12
基金项目:国家自然科学基金(61662031,61462044,61877031,61876074)资助项目.
通信作者:李茂西(1977-),男,湖北黄梅人,教授,博士,主要从事自然语言处理和机器翻译的研究.E-mail:mosesli@jxnu.edu.cn
更新日期/Last Update: 2020-02-10