The Impact of Post-editing and Machine Translation on Creativity and Reading Experience
Not on the map. Why?
Abstract (arXiv)
This article presents the results of a study involving the translation of a fictional story from English into Catalan in three modalities: machine-translated (MT), post-edited (MTPE) and translated without aid (HT). Each translation was analysed to evaluate its creativity. Subsequently, a cohort of 88 Catalan participants read the story in a randomly assigned modality and completed a survey. The results show that HT presented a higher creativity score if compared to MTPE and MT. HT also ranked higher in narrative engagement, and translation reception, while MTPE ranked marginally higher in enjoyment. HT and MTPE show no statistically significant differences in any category, whereas MT does in all variables tested. We conclude that creativity is highest when professional translators intervene in the process, especially when working without any aid. We hypothesize that creativity in translation could be the factor that enhances reading engagement and the reception of translated literary texts.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 4 of its 62 references that are in the map. First posted on arXiv 15 Jan 2021.
Builds on
4 of 62 references.
References · 4
- 2017Attention Is All You Needcited by 59,932
- 2019Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translationcited by 45
- 2019Post-editese: an Exacerbated Translationesecited by 29
- 2020Machine Translation of Novels in the Age of Transformercited by 4
Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 3; 2026: 4.
10 papers.
- 2022Creativity in translation: machine translation as a constraint for literary textscited by 10
- 2025Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editingcited by 3
- 2025Optimising ChatGPT for creativity in literary translation: A case study from English into Dutch, Chinese, Catalan and Spanishcited by 2
- 2025To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levelscited by 2
- 2023To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translationcited by 1
- 2024Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translationcited by 1
- 2026Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translationcited by 1
- 2026Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translationscited by 1
- 2026The impact of postediting on AI generative translation in Yemeni context: Translating literary prose by ChatGPTcited by 0
- 2026Metaphors in Literary Post-Editing: Opening Pandora's Box?cited by 0
- 2026Metaphors in Literary Post-Editing: Opening Pandora's Box?20 May 2026
- 2026Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations13 May 2026
- 2026Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation20 Apr 2026
- 2026The impact of postediting on AI generative translation in Yemeni context: Translating literary prose by ChatGPT17 Apr 2026
- 2025To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levels28 Apr 2025
- 2025Optimising ChatGPT for creativity in literary translation: A case study from English into Dutch, Chinese, Catalan and Spanish25 Apr 2025
- 2025Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing3 Apr 2025
- 2024Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation11 Dec 2024
- 2023To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translation5 Jul 2023
- 2022Creativity in translation: machine translation as a constraint for literary texts12 Apr 2022