CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
汪昆; 宗成庆
Source Publication中文信息学报
Other AbstractUnder a framework of combining translation memory(TM)and statistical machine translation(SMT), this paper proposes tO further dynamically add new phrase-pairs found in TM.During decoding,the integrated rood— el adds those TM matched segments into the SMT phrase table as candidates dynamically,and incorporates corre— sponding TM information for each hypothesis to guide SMT decoding.Our experimental results show that the pro— posed approach improves translation quality significantly:compared with TM system,the integrated model achieves 21.15 BLEU points improvements and 21.47 TER points reduction;compared with SMT system,the integrated model achieves 5。16 BLEU points improvements and 4.05 TER points reduction.
Keyword统计机器翻译 基于短语的翻译模型 翻译记忆 模型融合 动态加入翻译记忆短语对
Document Type期刊论文
Recommended Citation
GB/T 7714
汪昆,宗成庆. 统计机器翻译和翻译记忆的动态融合方法研究[J]. 中文信息学报,2015,29(2):87-94.
APA 汪昆,&宗成庆.(2015).统计机器翻译和翻译记忆的动态融合方法研究.中文信息学报,29(2),87-94.
MLA 汪昆,et al."统计机器翻译和翻译记忆的动态融合方法研究".中文信息学报 29.2(2015):87-94.
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