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Big-Data Analysis of Characteristics of Chinese Translation of Emily Dickinson Poems: Case Study of Student Translators' Translation Practice

Author

Listed:
  • Jianxin Zhou

    (School of Foreign Languages, South China University of Technology, Guangzhou 510641)

  • Yuqing Cheng

    (School of Foreign Languages, South China University of Technology, Guangzhou 510641)

Abstract

A Big-data analysis is carried out by building up relevant language corpus and applying Antconc 3.4.4, etc., to examine the characteristics of 1000 Chinese translations of 10 Emily Dickinson poems translated by 100 undergraduate students of South China University of Technology. Statistics and analysis reveal that the translation of Dickinson's poems by student translators is not faithful to the original poems, neither in form nor in content. Instead, without following the literal translation principle, student translators' translation bears distinct evidence of subjective initiative and arbitrary conduct, including altering stanza numbers and line numbers, omitting punctuation, adding modifiers to simple nouns(images), and cutting off content that is difficult to understand and translate, etc.; thus students' translation practice is more like self-fulfillment of their individual needs than a serious academic event.

Suggested Citation

  • Jianxin Zhou & Yuqing Cheng, 2022. "Big-Data Analysis of Characteristics of Chinese Translation of Emily Dickinson Poems: Case Study of Student Translators' Translation Practice," International Journal of Translation and Interpretation Studies, Al-Kindi Center for Research and Development, vol. 2(2), pages 40-49, August.
    • Handle: RePEc:alk:ijtis0:v:2:y:2022:i:2:id:3886
    DOI: 10.32996/ijtis.2022.2.2.4
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