在人工智能时代将翻译定位为一门技艺

Computer Science > Computers and Society arXiv:2604.00758 (cs) [Submitted on 1 Apr 2026 (v1), last revised 17 Sep 2026 (this version, v3)] Title:Locating Translation as a Craft in the Age of AI Authors:Daniel Chechelnitsky, Sireesh Gururaja, Seyi Olojo, Giuseppe Attanasio, Wesley Hanwen Deng, Chrysoula Zerva, Maarten Sap View a PDF of the paper titled Locating Translation as a Craft in the Age of AI, by Daniel Chechelnitsky and 6 other authors View PDF HTML (experimental) Abstract:Rapid development of Large Language Models (LLMs) and similar automated approaches for translation tasks is increasingly affecting the landscape of translation technologies. As concerns about the outsourcing of translator work to these automated translation tools grow, it is increasingly crucial to gather insights from the translation community directly. To this end, we conduct an interview study with 19 professional translators working across 11 languages and 11 domains to understand their perspectives, experiences, and concerns with using translation technologies in their work. We find that translators are cautious when incorporating new tools into their workflow, with several expressing concerns that machine translation (MT) and LLMs are infringing on the necessary human aspects and verification processes of translation. Importantly, translators are worried that these tools have potential for harmful downstream effects due to compromising the human aspects of translation work. These findings demonstrate the need to develop translation technologies that directly serve translators' needs rather than replacing human translation. This can be done by focusing more on the assistive tools that emphasize the uncertain, social, and ultimately human character of translation, rather than automation. Comments: Subjects: Computers and Society (cs.CY) Cite as: arXiv:2604.00758 [cs.CY] (or arXiv:2604.00758v3 [cs.CY] for this version) https://doi.org/10.48550/arXiv.2604.00758 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Daniel Chechelnitsky [view email] [v1] Wed, 1 Apr 2026 11:23:26 UTC (111 KB) [v2] Sat, 8 Aug 2026 11:19:29 UTC (209 KB) [v3] Thu, 17 Sep 2026 12:14:24 UTC (69 KB) Full-text links: Access Paper: View a PDF of the paper titled Locating Translation as a Craft in the Age of AI, by Daniel Chechelnitsky and 6 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CY new | recent | 2026-04 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)