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An Experiment on Translation Education Information System Driven-By Knowledge Network Management

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Emerging Technologies for Education (SETE 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14606))

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Abstract

Considering the rapid development of artificial intelligence and the transformation of learning behavior, the researchers have designed a translation education information system to provide a platform for translation educators and learners in the experiment. All translation phenomena or nodes are annotated by knowledge nodes in 6 categories, which form a knowledge network in the system. There are 56 translation node types, 165 translation terms, 235 translation texts and 2,519 pieces of annotated knowledge nodes. The research invites 26 junior undergraduates majoring in translation and interpretation in Anhui Province (China) to learn translation knowledge with the guidance of professors. The paper reveals that the system has a positive influence on the translation education process according to students’ translation scores and questionnaire results, and this conclusion is based on systematic research and concrete data, instead of impressionistic summary as used to be provided by old fashion translation teaching. Therefore, this also proves that knowledge-network driven translation teaching assisted by information technology should be widely adopted. Based on the analysis of statistical tools, the study finds that the system should be updated another 5 important translation node types.

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Acknowledgements

The work was substantially supported by the project entitled “A Data-Mining Driven Mode of Co-construction of Knowledge Network for Translation Learning and Its Application” sponsored by The National Social Science Fund of China, 2019 (Project No. 19BYY125).

Author information

Authors and Affiliations

  1. School of Foreign Languages, Chaohu University, Hefei, China

    Lizhen Du & Yuanyuan Mu

  2. Center for Research on the Theory and Practice of Multilingual Terminology, Anhui University, Hefei, China

    Lizhen Du

Authors
  1. Lizhen Du
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  2. Yuanyuan Mu
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Corresponding author

Correspondence to Yuanyuan Mu .

Editor information

Editors and Affiliations

  1. Comenius University, Bratislava, Slovakia

    Zuzana Kubincová

  2. South China Normal University, Guangzhou, China

    Tianyong Hao

  3. University of Salerno, Fisciano, Italy

    Nicola Capuano

  4. Sapienza University of Rome, Rome, Italy

    Marco Temperini

  5. Guangdong University of Foreign Studies, Guangzhou, China

    Shili Ge

  6. Chaohu University, Hefei, China

    Yuanyuan Mu

  7. LUMSA University, Rome, Italy

    Paolo Fantozzi

  8. Zhejiang University, Hangzhou, China

    Jing Yang

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Du, L., Mu, Y. (2024). An Experiment on Translation Education Information System Driven-By Knowledge Network Management. In: Kubincová, Z., et al. Emerging Technologies for Education. SETE 2023. Lecture Notes in Computer Science, vol 14606. Springer, Singapore. https://doi.org/10.1007/978-981-97-4243-1_21

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  • DOI: https://doi.org/10.1007/978-981-97-4243-1_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-4242-4

  • Online ISBN: 978-981-97-4243-1

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