期刊文献+

大数据与人机对话:语必在言的集合里选取 被引量:1

BIG DATA AND HUMAN-MACHINE DIALOGUE: SPEECH MUST BE SELECTED IN THE SINGLE SET OF LANGUAGES
下载PDF
导出
摘要 人们学习说话的教育过程就像是在语言的超级棋盘暨形式化字符组成的单词矩阵中做各种选择。提出一种必然涵盖所有言语(话语或术语)的新方法:构建语言的集合暨字符棋盘或词表;通过人机交互和协作,生成大量的言语(话语或术语)大数据,涵盖代表知识本体的各种话语或术语;通过机器学习和人机交互过程,比较、查询或重复使用这些话语或术语。结果表明,话语或术语的选取都可通过双语或多语转换以多种方式自动查询。该方法不仅可用于创建大数据与人机对话的环境平台,还可用于智能化文本分析和知识模块精加工,从而搭起大数据与知识大生产的桥梁。 The educational process of learning to speak is like making choices in a word matrix of formal characters or a language s super chessboard. This paper introduced a new approach that must cover all speech(discourse or terminology). We constructed a single set of languages, that is, a character or vocabulary matrix. Through human-computer interaction and collaboration, a large number of big data of speech(discourse or terminology) were generated, covering all kinds of discourse or terminology representing knowledge ontology. We compared, queried or reused these words or terms through machine learning and human-computer interaction. The results show the choice of discourse or terminology can be automatically queried in a variety of ways through bilingual or multilingual conversion. This method and can be used not only to create a platform for big data and human-machine dialogue environment, but also for intelligent text analysis and knowledge module finishing, so as to bridge the gap between big data and knowledge big production.
作者 邹晓辉 王肖群 邹顺鹏 Zou Xiaohui;Wang Xiaoqun;Zou Shunpeng(Subject Group,Sino-American Searle Research Center, Beijing 100871, China;Peking University Teacher Teaching Development Center, Beijing 100871, China;Higher Education Group, Sino-American Searle Research Center, Beijing 100083, China)
出处 《计算机应用与软件》 北大核心 2019年第9期186-191,共6页 Computer Applications and Software
基金 中美合作创新基金项目(SSRC2018-2019-01c)
关键词 大数据 软件 人机对话 机器学习 Big data Software Man-machine dialogue Machine learning
  • 相关文献

参考文献7

二级参考文献110

  • 1A.M.Turing.On Computable Numbers,with an application to the Entscheidungsproblem[C] ,Proceedings of the London Mathematical Society.Second Series,42,230-265,1936.235.
  • 2Wikipedia,the free encyclopedia[EB/OL].modified[2000-08-02].http://en.wikipedia.org/wiki/String_(computer_science).
  • 3Marvin L.Minsky.Computation:finite and infinite machines[M].Prentice-Hall,Inc.,1967.
  • 4A.M.Turing.Computing Machinery and Intelligence[J].Mind 49:433-460,1950.
  • 5Wikipedia,the free encyclopedia[EB/OL].modified[2000-07-08].http://en.wikipedia.org/wiki/Computational_complexity_theory.
  • 6ZOU Xiaohui.Formal Chinese and Zibenwei.Collected by YANG Zijian.Study on Zibenwei Theory and Its 240Application.Shan Dong Education Publisher,2008.
  • 7Michael Armbrust,Armando Fox,Rean Grith,Anthony D.Joseph,Randy H.Katz,Andrew Konwinski,Gunho Lee,David A.Patterson,Ariel Rabkin,Ion Stoica,and Matei Zaharia.Above the clouds:A berkeley view of cloud computing.Technical Report UCB / EECS,EECS Department,University of California,Berkeley,Feb 2009.
  • 8Stephen Baker.Google and the Wisdom of Clouds.Businesswee,December 13,2007.245.
  • 9Peter Mell and Timothy Grance.The NIST Definition of Cloud Computing.Recommendations of the Nationallnstitute of Standards and Technology.January 2011.
  • 10The world's coolest brainstorming and mind mapping software and the best way to share ideas.XMind Ltd.[EB/OL].[2011] http://www.xmind.net/share/geneculture/genetic-text-3.

共引文献47

同被引文献4

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部