Pith. sign in

REVIEW 1 cited by

Creative and Context-Aware Translation of East Asian Idioms with GPT-4

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2410.00988 v1 pith:A22QALFJ submitted 2024-10-01 cs.CL

classification cs.CL
keywords translationscontext-awaretranslationasiancreativityeastgpt-4high-quality
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

As a type of figurative language, an East Asian idiom condenses rich cultural background into only a few characters. Translating such idioms is challenging for human translators, who often resort to choosing a context-aware translation from an existing list of candidates. However, compiling a dictionary of candidate translations demands much time and creativity even for expert translators. To alleviate such burden, we evaluate if GPT-4 can help generate high-quality translations. Based on automatic evaluations of faithfulness and creativity, we first identify Pareto-optimal prompting strategies that can outperform translation engines from Google and DeepL. Then, at a low cost, our context-aware translations can achieve far more high-quality translations per idiom than the human baseline. We open-source all code and data to facilitate further research.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Evaluating LLMs on Chinese Idiom Translation

    cs.CL 2025-08 unverdicted novelty 6.0 of 10

    Across 900 annotated translation pairs from nine MT systems, the best system still mistranslates Chinese idioms in 28% of cases, and standard metrics miss these errors (Pearson correlation below 0.48).

Pith tools