Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design
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Computer Science > Computation and Language
Title:Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design
Abstract:We present Agentic AI Translate, an agentic translator prototype that operationalises the thesis of Yamada (forthcoming) -- that the metalanguage of Translation Studies has become an instruction code for generative AI. The system replaces the dominant text-in / text-out paradigm of machine translation with a four-stage agentic cycle (Identify -> Prompt -> Generate -> Verify), preceded by an interactive specification phase in which the user composes -- through model-assisted dialogue -- a structured translation brief grounded in skopos theory, register, audience, and genre conventions. The verification stage adopts the GEMBA-MQM error-span protocol (Kocmi & Federmann, 2023) for evidence-grounded scoring, and document-level coherence is preserved through a DelTA-lite memory of proper nouns and a running bilingual summary, after Wang et al. (2025). We describe the philosophical motivation, the architectural commitments, the four reference-material categories the system consumes, and the principal design tensions the architecture makes explicit. Empirical validation is left for future work; the contribution here is conceptual and architectural -- an executable embodiment of the position that translation in the GenAI era is communication design, not text conversion.
| Comments: | 14 pages. Conceptual and architectural paper; empirical validation in future work. Code: this https URL (v0.8.0). Live demo: this https URL |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) |
| ACM classes: | I.2.7; I.2.11; H.5.2 |
| Cite as: | arXiv:2605.17041 [cs.CL] |
| (or arXiv:2605.17041v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2605.17041
arXiv-issued DOI via DataCite (pending registration)
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