New dataset targets document-level post-editing in healthcare translation

Researchers have introduced the APEX-VW Corpus, a new dataset designed for document-level English-Spanish post-editing in the healthcare domain. This corpus is built from recent NHS virtual-ward documents and incorporates professional post-editing performed within Trados Studio, ensuring controlled machine translation, terminology, and quality assurance. Unlike previous sentence-level datasets, APEX-VW preserves document order and CAT-tool context, making it suitable for studying terminology normalization and correction propagation in realistic translation workflows. AI

IMPACT This dataset could advance research in machine translation post-editing and terminology normalization for specialized domains.

RANK_REASON The cluster contains a research paper introducing a new dataset. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• APEX-VW
• Hugging Face
• Langmark
• MLQE-PE
• Nhs
• Trados Studio

• paper
• other

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