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This is a Quantitative Study study.

Preserving Poetic Effect in Human–Machine Collaborative Translation of Mo Yan’s Red Sorghum Family

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Collaborative translation reduces cultural gaps and preserves poetic appeal in literary texts, enhancing the overall translation quality.
Machine-generated translations often fail to capture essential emotional and rhetorical nuances compared to human interventions.
Quantitative analysis examined 100 poetic density segments across three translation methods, revealing effectiveness variances.
This approach highlights the necessity for human translators to provide cultural adaptations, resulting in improvements over traditional machine translation.

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This analysis assesses the impact of human-machine collaboration on poetic effect in translations, suggesting enhancements for literary texts.

Yi Liu (2025) studied this question.

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This analysis assesses the impact of human-machine collaboration on poetic effect in translations, suggesting enhancements for literary texts.