WITHDRAWN: A Systematic Review of Financial Translation in the Digital Age: Trends, Challenges, and Human–AI Collaboration

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This systematic review analyzed 73 studies from 2000 onwards to understand financial translation in the digital age, identifying trends in language, tools, competencies, and ethics, and proposing a Human-AI Collaboration Model.

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This withdrawn preprint describes a systematic review of trends, challenges, and human–AI collaboration in financial translation in the digital age, using a review-focused methodology to synthesize the literature. The available text is limited to an editorial notice stating the authors withdrew the full manuscript to make corrections, and they request that the work not be cited as a reference. A major limitation is that no study results or detailed methods are provided in the accessible content beyond the withdrawal statement. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract In recent years, financial translators have found their work unfolding at a point where intelligent systems meet shifting industry norms and evolving professional identities. The present review follows these changes from 2000 onwards, focusing on the rise of artificial intelligence (AI), the reshaping of translator roles, and the redefinition of institutional expectations. Studies in English and Chinese were drawn from Web of Science, Scopus, and CNKI; from these, 73 were chosen through the PRISMA process and assessed with the Mixed Methods Appraisal Tool (MMAT) and the Critical Appraisal Skills Programme (CASP). The analysis brought to light four recurring areas: approaches to financial language and genre, ways tools are woven into workflows, adaptations in competencies and training, and the ethical or market conditions framing the work. Actor-Network Theory, Augmented Cognition, and Moorkens’s process model together informed a Human-AI Collaboration Model, in which translation is understood as an iterative exchange between human expertise and technological capacity. While automation has increased both speed and consistency, it also prompts concerns over responsibility, cognitive demand, and autonomy—questions that remain unevenly addressed and point to the need for wider geographical coverage and more diverse professional perspectives.
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Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author. Editorial notes are used to provide important context regarding the topic of a preprint or to alert readers to potential issues concerning that preprint or a downstream publication associated with it. For more information on editorial notes, see our Editorial Policies . Abstract The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author. Business and commerce/Information systems and information technology Humanities/Language and linguistics Social science/Language and linguistics Humanities/Literature Full Text The authors have withdrawn this preprint from Research Square. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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