A New NMT Model for Translating Clinical Texts from English to Spanish

• URL: http://arxiv.org/abs/2508.18607v1
• Date: Tue, 26 Aug 2025 02:24:38 GMT
• Title: A New NMT Model for Translating Clinical Texts from English to Spanish
• Authors: Rumeng Li, Xun Wang, Hong Yu,
• Abstract summary: Translating electronic health record narratives from English to Spanish is a clinically important yet challenging task.<n>We propose textbfNOOV (for No OOV), a new neural machine translation (NMT) system that requires little in-domain parallel-aligned corpus for training.<n>NOOV integrates a bilingual lexicon automatically learned from parallel-aligned corpora and a phrase look-up table extracted from a large biomedical knowledge resource.
• Score: 9.87164447021602
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Translating electronic health record (EHR) narratives from English to Spanish is a clinically important yet challenging task due to the lack of a parallel-aligned corpus and the abundant unknown words contained. To address such challenges, we propose \textbf{NOOV} (for No OOV), a new neural machine translation (NMT) system that requires little in-domain parallel-aligned corpus for training. NOOV integrates a bilingual lexicon automatically learned from parallel-aligned corpora and a phrase look-up table extracted from a large biomedical knowledge resource, to alleviate both the unknown word problem and the word-repeat challenge in NMT, enhancing better phrase generation of NMT systems. Evaluation shows that NOOV is able to generate better translation of EHR with improvement in both accuracy and fluency.

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