mlsanityData to 14 Oct 2026

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

arXiv 2508.18607 ↗First posted 26 Aug 2025cs.CLcited by 0

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Abstract (arXiv)

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 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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 29 references that are in the map. First posted on arXiv 26 Aug 2025.

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References · 14

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  3. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  4. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
  5. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,918
  6. 2017Convolutional Sequence to Sequence Learningcited by 552
  7. 2017Synthetic and Natural Noise Both Break Neural Machine Translationcited by 306
  8. 2016Fully Character-Level Neural Machine Translation without Explicit Segmentationcited by 55
  9. 2016Character-based Neural Machine Translationcited by 33
  10. 2016Incorporating Discrete Translation Lexicons into Neural Machine Translationcited by 33
  11. 2016Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Modelscited by 18
  12. 2015Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet textscited by 4
2 more
  1. 2016Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Modelcited by 1
  2. 2018Decoding-History-Based Adaptive Control of Attention for Neural Machine Translationcited by 1

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