摘要
结合情报研究工作,提出利用降噪简化、领域矫正等手段提升机器翻译质量的方法,以有效解决现有的翻译软件在特定领域词汇翻译、多重嵌套长句式理解、根据上下文语境确定词义等方面存在的问题,可提升研究报告、学术论文、领域专著等长篇报告的翻译质量,为情报研究工作提供更大助益。
Combined with the intelligence research work,it is proposed to improve the quality of machine translation by means of disturbance reduction,simplification and field correction,so as to effectively solve the problems of the existing translation software in vocabulary translation in specific fields,multiple nested long sentence understanding,and determining word meaning according to the context.To a certain extent,it can improve the translation quality of research reports,academic papers,field monographs and other long reports,and provide greater benefits for intelligence research.
作者
陈银娣
王秀珍
CHEN Yin-di;WANG Xiu-zhen(Information Research Center of Military Sciences,Academy of Military Sciences,Beijing 100142,China;School of Foreign Languages,Beijing Technology and Business University,Beijing 100048,China)
出处
《中华医学图书情报杂志》
CAS
2022年第7期64-71,共8页
Chinese Journal of Medical Library and Information Science
关键词
人工智能
机器翻译
降噪简化
领域矫正
情报研究
Artificial intelligence
Machine translation
Disturbance reduction
Field correction
Information research