Fig 1.
Illustration of our proposed prompt-enhanced MT framework compared to conventional NMT tools (e.g.
Baidu translation) and vanilla LLM-based MT. Note: The machine translation site utilized in this study generated all translated texts, which were obtained on March 26, 2023.
Fig 2.
Degree of subordination of verbs.
Note: Fig 2 was compiled by the author based on [34]’s research.
Table 1.
Semantic role relationship between modified noun and attributive/main clause verb in inner relation attributive clauses.
Table 2.
Degree of subordination between attributive/main clause verbs.
Table 3.
Japanese-Chinese machine translation quality evaluation criteria.
Table 4.
Experimental procedure for assessing prompt efficacy on Japanese inner relation attributive clauses.
Fig 3.
Translation quality changes before and after prompt optimization (translation quality score).
Table 5.
Translation quality changes before and after prompt optimization.
(SL and TL).
Fig 4.
Translation method changes before and after prompt optimization.