Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses

Wenshi Gu

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DOI: 10.1371/journal.pone.0313264
Published: 2025-01-09
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0313264,
  title = {Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses},
  author = {Wenshi Gu},
  year = {2025},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0313264},
  url = {https://doi.org/10.1371/journal.pone.0313264}
}

RIS

TY  - JOUR
TI  - Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses
AU  - Wenshi Gu
PY  - 2025
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0313264
UR  - https://doi.org/10.1371/journal.pone.0313264
ER  -

APA

Gu, W. (2025). Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses. PLOS ONE. https://doi.org/10.1371/journal.pone.0313264

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crossref · retrieved 2026-09-26T22:06:46.048Z