PETCI: A Parallel English Translation Dataset of Chinese Idioms

• URL: http://arxiv.org/abs/2202.09509v1
• Date: Sat, 19 Feb 2022 03:16:20 GMT
• Title: PETCI: A Parallel English Translation Dataset of Chinese Idioms
• Authors: Kenan Tang (The University of Chicago)
• Abstract summary: Current machine translation models perform poorly idiom translation, while idioms are sparse in many translation datasets. We present a parallel English translation dataset of Chinese idioms, aiming to improve translation by both human and machine.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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