A Unified Framework and Models for Integrating Translation Memory into Phrase-based Statistical Machine Translation | |
Yang Liu1; Kun Wang1![]() ![]() | |
刊名 | Computer Speech & Language (CSL)
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2019 | |
卷号 | 54期号:1页码:176-206 |
关键词 | Phrase-based Machine Translation Translation Memory |
文献子类 | 技术改进 |
英文摘要 | Since statistical machine translation (SMT) and translation memory (TM) complement each other in TM matched and unmatched regions, a unified framework for integrating TM into phrase-based SMT is proposed in this paper. Unlike previous two-stage pipeline approaches, which directly merge TM results into the input sentences and subsequently let the SMT only translates those unmatched regions, the proposed framework refers to the corresponding TM information associated with each phrase |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23994] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_自然语言处理团队 |
通讯作者 | Yang Liu |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Sciences 2.Institute of Information Science, Academia Sinica, Taipei, Taiwan |
推荐引用方式 GB/T 7714 | Yang Liu,Kun Wang,Chengqing Zong,et al. A Unified Framework and Models for Integrating Translation Memory into Phrase-based Statistical Machine Translation[J]. Computer Speech & Language (CSL),2019,54(1):176-206. |
APA | Yang Liu,Kun Wang,Chengqing Zong,&Keh-Yih Su.(2019).A Unified Framework and Models for Integrating Translation Memory into Phrase-based Statistical Machine Translation.Computer Speech & Language (CSL),54(1),176-206. |
MLA | Yang Liu,et al."A Unified Framework and Models for Integrating Translation Memory into Phrase-based Statistical Machine Translation".Computer Speech & Language (CSL) 54.1(2019):176-206. |
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