August 11, 2025Porta LinguaOpen Access

Human-made vs. neural machine translation: A comparative analysis of human-made and machine-translated literary texts

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TKTímea KovácsEötvös Loránd University

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Implication

Comparative analysis shows key differences in translation competence for machine and human translations of literary texts, suggesting limitations in neural approaches.

Key Points

Machine translation struggles with form-focused texts, making human translation preferable for literary works.
Neural machine translation by DeepL was compared with a human translation of 'Fatelessness', revealing quality differences.
Corpus linguistic analysis may enhance translation quality by identifying nuances in both source and target languages.
Understanding limitations in machine translation is crucial for effective post-editing of literary texts.

Cite This Study

Tímea Kovács (2025) studied this question.

synapsesocial.com/papers/68c2354db210217d6476fda7 https://doi.org/10.48040/pl.2025.1.1

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Implication

Comparative analysis shows key differences in translation competence for machine and human translations of literary texts, suggesting limitations in neural approaches.

Human-made vs. neural machine translation: A comparative analysis of human-made and machine-translated literary texts

Discussion

Member takes

Implication

Key Points

Cite This Study

Human-made vs. neural machine translation: A comparative analysis of human-made and machine-translated literary texts

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider