IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03317-6.html
   My bibliography  Save this article

Do translation universals exist at the syntactic-semantic level? A study using semantic role labeling and textual entailment analysis of English-Chinese translations

Author

Listed:
  • Letao Wang

    (Xi’an Jiaotong University
    Chang’an University)

  • Yue Jiang

    (Xi’an Jiaotong University)

Abstract

Albeit extensive studies of translation universals at lexical and grammatical levels, there has been scant research at the syntactic-semantic level. To bridge this gap, this study employs semantic role labeling and textual entailment analysis to compare Chinese translations with English source texts and non-translated Chinese original texts. The research has found substantial evidence for translation universals like explicitation, simplification, and levelling out at the syntactic-semantic level, which is illustrated by significant differences between syntactic-semantic features of Chinese translations and those of English source texts and Chinese original texts. This suggests a distinct syntactic-semantic uniqueness of Chinese translations, wherein the overall features exhibit an “eclectic” characteristic, showcasing contrasting outcomes such as explicitation identified as S-universal and implicitation deemed T-universal. This could be attributed to the gravitational pull from the two language systems. In the inspection of specific semantic roles, features of agents and discourse markers are found to be evidence for both S-explicitation and T-explicitation, potentially reflecting the role of socio-cultural factors in shaping the uniqueness of syntactic-semantic features of Chinese translations. These findings further underscore the complexity inherent in translation, highlighting its function as a dynamic balance system.

Suggested Citation

  • Letao Wang & Yue Jiang, 2024. "Do translation universals exist at the syntactic-semantic level? A study using semantic role labeling and textual entailment analysis of English-Chinese translations," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03317-6
    DOI: 10.1057/s41599-024-03317-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03317-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-03317-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kanglong Liu & Rongguang Ye & Liu Zhongzhu & Rongye Ye, 2022. "Entropy-based discrimination between translated Chinese and original Chinese using data mining techniques," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03317-6. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.