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August 29, 2026Translational Animal ScienceOpen Access

Evaluation of large language model performance in translating dairy-related content

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Authors

ARAnay D. RaveloDCDaniela Gonzalez CarranzaKLKaitlyn A. Lutz

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Overview

Evaluation study demonstrates high accuracy and clarity for AI-translated dairy management materials, indicating strong utility for multilingual workforce training.

Key Points

  • To assess the accuracy, comprehensibility, and workplace appropriateness of English-to-Spanish dairy management texts translated by ChatGPT (GPT-4o).
  • Gathered 8 English texts covering udder health and stockmanship from extension and university websites, including 4 summaries (≤260 words) and 4 procedural lists (8 steps each).
  • Translated the materials into Spanish using GPT-4o and presented them side-by-side with original texts.
  • Surveyed 23 reviewers using a structured rubric evaluating translation accuracy, comprehensibility, perception, and suitability for dairy farm employees.
  • Reviewers strongly agreed or agreed that technical terminology and primary concepts were accurately translated into Spanish.
  • Translations were rated as natural, coherent, and consistent across repeated phrases, with reviewers noting few or no unclear passages.
  • Reviewers largely agreed that the generated translations were suitable for direct distribution to dairy farm workers, though human oversight is still advised.

Cite This Study

Ravelo et al. (2026) studied this question.

synapsesocial.com/papers/6a92997e8e5d7d1fc0c117ddhttps://doi.org/10.1093/tas/txag130
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