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Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation

文献类型：期刊论文

作者Kang, Xiaomian1,3; Zhao, Yang1,3; Zhang, Jiajun1,3; Zong, Chengqing1,2
刊名ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING
出版日期2022-05-01
卷号21期号:3页码:21
关键词Document-level translation neural machine translation lexical consistency discourse phenomena
ISSN号2375-4699
DOI10.1145/3485469
通讯作者Kang, Xiaomian(xiaomian.kang@nlpr.ia.ac.cn)
英文摘要Document-level neural machine translation (DocNMT) has yielded attractive improvements. In this article, we systematically analyze the discourse phenomena in Chinese-to-English translation, and focus on the most obvious ones, namely lexical translation consistency. To alleviate the lexical inconsistency, we propose an effective approach that is aware of the words which need to be translated consistently and constrains themodel to produce more consistent translations. Specifically, we first introduce a global context extractor to extract the document context and consistency context, respectively. Then, the two types of global context are integrated into a encoder enhancer and a decoder enhancer to improve the lexical translation consistency. We create a test set to evaluate the lexical consistency automatically. Experiments demonstrate that our approach can significantly alleviate the lexical translation inconsistency. In addition, our approach can also substantially improve the translation quality compared to sentence-level Transformer.
资助项目Natural Science Foundation of China[62006224]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000778450600017
出版者ASSOC COMPUTING MACHINERY
资助机构Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/48261]  
专题模式识别国家重点实验室_自然语言处理
通讯作者Kang, Xiaomian
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Intelligence Bldg,95 Zhongguancun East Rd, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Intelligence Bldg,95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Kang, Xiaomian,Zhao, Yang,Zhang, Jiajun,et al. Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation[J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,2022,21(3):21.
APA Kang, Xiaomian,Zhao, Yang,Zhang, Jiajun,&Zong, Chengqing.(2022).Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation.ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,21(3),21.
MLA Kang, Xiaomian,et al."Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation".ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 21.3(2022):21.

入库方式： OAI收割

来源：自动化研究所

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