[1]姚寒冰,王丽清,徐永跃. 供需信息跨语言检索算法研究[J].计算机技术与发展,2017,27(08):152-155.
　YAO Han-bing,WANG Li-qing,XU Yong-yue. Research on Automatic Retrieving Algorithm of Cross-language Supply and Demand Information[J].,2017,27(08):152-155.
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 供需信息跨语言检索算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年08期
页码:
152-155
栏目:
应用开发研究
出版日期:
2017-08-10

文章信息/Info

Title:
 Research on Automatic Retrieving Algorithm of Cross-language Supply and Demand Information
文章编号:
1673-629X（2017)08-0152-04
作者:
 姚寒冰; 王丽清; 徐永跃
 云南大学 信息学院 云南省高校数字媒体技术重点实验室
Author(s):
 YAO Han-bing; WANG Li-qing; XU Yong-yue
关键词:
 ; 跨语种; 供需; 自然语言; 检索
Keywords:
 ; cross-language; supply and demand; natural language; retrieval
分类号:
TP391
文献标志码:
A
摘要:
 经济全球化促进了互联网电子商务的快速发展,跨境电商因其巨大的发展潜力成为新的贸易增长点.由于贸易的基础与前提是供需双方信息的高效共享和沟通,而跨境电商因涉及不同语言之间的互译,使得信息交流的及时性、准确性不足,导致丧失贸易时机,甚至导致贸易失败.为此,提出了一种基于自然语言的跨语言协同机器翻译的信息检索算法.该算法可使供给方可根据所提供商品服务的特点进行灵活的扩展描述,并为需求方提供自然语言描述方法,需求方可使用不同的语言进行输入,完成跨语言的检索.为验证协同机器翻译的自然语言实现供需信息的检索和自动匹配能力,进行了相关验证实验测试.实验测试结果表明,所提出的算法可满足供给方对自身商品或服务进行特有属性扩展描述的需求,同时具有多语种拓展潜力,有助于消除供需双方的语言障碍.
Abstract:
 Economic globalization has promoted the rapid development of Internet e-commerce.And the cross-border e-commerce suppliers have become a new growth point of trade due to its huge potential of development.Since basis and prerequisite of trade are efficient sharing and communication of information between supplier and demander,cross-border e-commerce involves translation between different languages,which results in lack of the real-time and accuracy in information exchanges as well as miss of trade opportunities or even failure in trade.To solve this problem a cross-language information retrieval algorithm based on natural language and collaborated with machine translation is proposed,which enable supplier to describe the characteristics of the goods or services flexibly and provide demander for different natural language to describe its own demand for completion of retrieval of cross-language.In order to verify ability of retrieval and automatic matching of supplier and demander information collaborated with machine translation,the verification experiment has been conducted and its results show that the proposed algorithm has met demands of the supplier to depict unique attributes of their goods or services and has owned potentials for multilingual development,which can help to eliminate the language barrier between the supplier and demander.

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更新日期/Last Update: 2017-09-21