Application of Human-Machine Dialogue in Foreign Language Teaching at Universities

被引:1
|
作者
Liu, Ting [1 ,2 ]
Yuizono, Takaya [1 ]
Lu, Yifen [2 ]
Wang, Zhisheng [1 ,3 ]
机构
[1] Japan Adv Inst Sci & Technol, Nomi, Ishikawa 9231292, Japan
[2] Dalian Polytech Univ, Sch Foreign Languages, Dalian 116034, Liaoning, Peoples R China
[3] Dalian Polytech Univ, Res Inst Photon, Dalian 116034, Liaoning, Peoples R China
关键词
INDEPENDENCE;
D O I
10.1088/1757-899X/573/1/012047
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the development of internet technology, communication technology and artificial intelligence (AI), the versatile and convenient human-machine dialogue and interaction system has gradually penetrated into the education field and become a new type of teaching method. Focusing on the subject of the application of human-machine dialogue system in foreign language teaching at universities, this paper elaborated on how to apply the human-machine dialogue system in foreign language teaching, what effect can be achieved, and what application strategy can be adopted in human-machine dialogue interactive teaching. Combined with the problems existing in daily teaching, this paper presented suggestions for applying the human-machine dialogue system, which is expected to improve the effects of foreign language teaching.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Spoken Language Understanding of Human-Machine Conversations for Language Learning Applications
    Qian, Yao
    Ubale, Rutuja
    Lange, Patrick
    Evanini, Keelan
    Ramanarayanan, Vikram
    Soong, Frank K.
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2020, 92 (08): : 805 - 817
  • [42] Integrating Scene Image and Conversational Text to Develop Human-Machine Dialogue
    Wang, Hao-Yi
    Huang, Jhih-Yuan
    Lee, Wei-Po
    INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING, 2022, 16 (03) : 425 - 447
  • [43] Multi-agent human-machine dialogue: issues in dialogue management and referring expression semantics
    Knott, Alistair
    Vlugter, Peter
    ARTIFICIAL INTELLIGENCE, 2008, 172 (2-3) : 69 - 102
  • [44] Hybrid Neural Network Models for Human-machine Dialogue Intention Classification
    Zhou J.-Z.
    Zhu Z.-K.
    He Z.-Q.
    Chen W.-L.
    Zhang M.
    Ruan Jian Xue Bao/Journal of Software, 2019, 30 (11): : 3313 - 3325
  • [45] Application of EEG for Multimodal Human-Machine Interface
    Park, Jangwoo
    Woo, Il
    Park, Shinsuk
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2012, : 1869 - 1873
  • [46] Human-Machine Interaction in Ubiquitous Application Design
    Koo, Simon G. M.
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010, : 3725 - 3729
  • [47] Application of www technology to the human-machine interface
    Lewis, PB
    PEOPLE IN CONTROL, 1999, (463): : 206 - 211
  • [48] From human-machine interaction to human-machine cooperation
    Hoc, JM
    ERGONOMICS, 2000, 43 (07) : 833 - 843
  • [49] The Application of Mind Mapping in Foreign Language Teaching
    Cui Jingjing
    PROCEEDINGS OF THE 2016 INTERNATIONAL SEMINAR ON EDUCATION INNOVATION AND ECONOMIC MANAGEMENT (SEIEM 2016), 2016, 75 : 160 - 162
  • [50] The Application of Multimedia Technology in Foreign Language Teaching
    Zhang Zhi-feng
    ADVANCES IN COMPUTER SCIENCE AND ENGINEERING, 2012, 141 : 85 - 90