SOURCE-LINKED INTELLIGENCE
Cross-Lingual Clinical Annotation Projection as Constrained Text Generation: A Six-Language Study
Background: To determine whether cross-lingual clinical annotation projection can be formulated as a text-preserving, document-level generative task that produces verifiable character-level annotations for multilingual clinical corpus construction, and to characterize its robustness and computational trade-offs relative to candidate-based projection pipelines. Methods: We developed a constrained LLM projection workflow that inserts entity tags directly into immutable target-language text, followed by deterministic validation and character-offset reconstruction. We evaluated it alongside superv
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T12:17:52.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.