mlsanityData to 7 Oct 2026

PETCI: A Parallel English Translation Dataset of Chinese Idioms

arXiv 2202.09509 ↗First posted 19 Feb 2022cs.CL cs.LGcited by 10

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Abstract (arXiv)

Idioms are an important language phenomenon in Chinese, but idiom translation is notoriously hard. Current machine translation models perform poorly on idiom translation, while idioms are sparse in many translation datasets. We present PETCI, a parallel English translation dataset of Chinese idioms, aiming to improve idiom translation by both human and machine. The dataset is built by leveraging human and machine effort. Baseline generation models show unsatisfactory abilities to improve translation, but structure-aware classification models show good performance on distinguishing good translations. Furthermore, the size of PETCI can be easily increased without expertise. Overall, PETCI can be helpful to language learners and machine translation systems.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 21 of its 52 references that are in the map. First posted on arXiv 19 Feb 2022.

Builds on

21 of 52 references.

References · 21

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9 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 4; 2026: 2.

10 papers.

  1. 2023Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Modelscited by 23
  2. 2024The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilitiescited by 22
  3. 2024Creative and Context-Aware Translation of East Asian Idioms with GPT-4cited by 10
  4. 2025Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translationcited by 8
  5. 2025Memorization or Reasoning? Exploring the Idiom Understanding of LLMscited by 7
  6. 2025Evaluating LLMs on Chinese Idiom Translationcited by 2
  7. 2025A Survey of Idiom Datasets for Psycholinguistic and Computational Researchcited by 2
  8. 2023Generating Continuations in Multilingual Idiomatic Contextscited by 1
  9. 2026A Rising Tide Lifts All Boats: MTQE Rewards for Idioms Improve General Translation Qualitycited by 1
  10. 2026SinFoS: A Parallel Dataset for Translating Sinhala Figures of Speechcited by 1