Measuring translation trainees’ effort in AI-assisted post-editing: a multi-method approach

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Publication Details

Journal
The Interpreter and Translator Trainer
Published
2025-07-21
DOI
https://doi.org/10.1080/1750399x.2025.2535239
Citations
2
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
4.96
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article

Measuring translation trainees’ effort in AI-assisted post-editing: a multi-method approach

Dechao Li, Tianyi Han, Yao Yao
2 citations
The Interpreter and Translator Trainer
Natural Language Processing Techniques
4.96
article

Measuring translation trainees’ effort in AI-assisted post-editing: a multi-method approach

Dechao Li, Tianyi Han, Yao Yao
article en
2 citations

Abstract

No abstract available for this paper.
The Interpreter and Translator TrainerVol. 19(3-4)
Hong Kong Polytechnic University (HK), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 5%
Natural Language Processing Techniques
4.96
DOISourceOpenAlex
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Measuring translation trainees’ effort in AI-assisted post-editing: a multi-method approach — Dechao Li, Tianyi Han, et al. · The Interpreter and Translator Trainer (2025) | TGRS Research Map | TGRS