Статья: Mind vs. machine: Comparative analysis of metaphorrelated word translation by human and AI systems (2025)

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The present study presents a comparative analysis of the translation processes and outcomes of human translators, Neural Machine Translation (NMT) systems and Large Language Models (LLMs) focusing on the translation of Metaphor-related Words (MRW). The study employs various research methodologies, including product analysis, think-aloud protocols, subsequent interviews, and translation quality assessments to uncover the choice of strategies in translating MRWs by different subject groups as well as its relation with quality criterion. Human translators and LLMs tend to favour strategies such as metaphor into different metaphor (M-M2) and metaphor reduction (M→Non), while NMT systems prefer the reproduction of metaphors (M→M). LLMs demonstrate translation patterns which are more aligned with human translators, helping them achieve higher evaluation scores, though their performance remains inconsistent, particularly with novel metaphors. Additionally, human translators process metaphors by incorporating conceptual, cultural, and contextual factors, whereas LLMs tend to rely on paraphrastic approaches. Evaluation results indicate that LLMs exhibit proficiency on par with novice translators in terms of accuracy, idiomatic expression, and vividness in metaphor translation, while NMT systems fall slightly short. The study highlights the influence of translation strategies on the quality of metaphor translation and concludes that, while NMT systems and LLMs can achieve performance comparable to human translators, much larger metaphor-specific datasets supported studies are expected to validate its consistency.

Ключевые фразы: machine translation, neural machine translation, metaphor translation, think-aloud protocol, translation strategy, large language model, computational translation, cognitive processing, conceptual metaphor, ChatGPT, deepl
Автор (ы): Zhengjian Li, Lang Chen
Журнал: TRAINING, LANGUAGE AND CULTURE

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00. Наука в целом (информационные технологии - 004)
Для цитирования:
ZHENGJIAN L., LANG C. MIND VS. MACHINE: COMPARATIVE ANALYSIS OF METAPHORRELATED WORD TRANSLATION BY HUMAN AND AI SYSTEMS // TRAINING, LANGUAGE AND CULTURE. 2025. № 1, ТОМ 9
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