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Management Science and Research

Management Science and Research is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of management science technology and research, on the combination of management science theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest management science theory and method research improvement in the fields of nature science, engineering t... [More] Management Science and Research is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of management science technology and research, on the combination of management science theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest management science theory and method research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result in the field of material subject, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of management science for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of management science theory and application technology.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s), abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2326-8689

ISSN Online:2326-8727

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Paper Infomation

The Redefinition of Translators: Crises and Reconstructions of the Translation Profession in the Age of Artificial Intelligence

Full Text(PDF, 96KB)

Author: Yuchen Xiao

Abstract: With the rapid development of artificial intelligence (AI) technologies, including neural machine translation and large language models, the language service industry is undergoing a profound transformation that reshapes both the structure and function of the translation profession. Driven by a “high-efficiency, low-cost” rationale, the traditional role of translators as linguistic mediators is increasingly marginalized, raising concerns about a possible weakening or even “disappearance” of their professional status. Drawing on a systematic review of the evolution of the translation profession and the process of translation industrialization, this study examines the multi-dimensional professional crises precipitated by AI’s impact on translators’ labor structures, skill sets, and identity. It further explores potential pathways for professional transformation and value reconstruction in the context of emerging technologies. The findings reveal that translators do not truly “disappear” within AI-driven translation workflows; rather, their professional functions are reconfigured, and their identities redefined. Translators progressively evolve from mere language converters into language service experts, undertaking composite tasks such as text optimization, contextual judgment, cultural adaptation, and terminology management. Against this backdrop, the study proposes a novel competency model for translators in AI-oriented contexts and puts forward multi-dimensional collaborative strategies—including educational reforms, platform-based system enhancements, and the updating of professional certifications—to facilitate a shift from “technical adaptation” to “collaborative leadership”. This research aims to provide both theoretical grounding and practical references for the re-establishment of translator agency, the transformation and upgrading of the language service industry, and the future development of translation education.

Keywords: Artificial Intelligence; Translation Industrialization; Translator Redefinition; Professional Crisis; Human-Machine Collaboration; Post-Editing

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