opus-mt-nl-en-healthcare Open-source Translation Model - Freely Assist in Clinical Dutch to English Translation in Healthcare

Opus Mt Nl En Healthcare

Developed by FremyCompany

A Dutch-to-English translation model specifically designed for the medical field, based on the MarianMT architecture, suitable for clinical text translation.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:MIT #Dutch-English medical translation #Clinical text processing #Medical terminology optimization

Downloads 18

Release Time : 4/17/2023

Model Overview

This model is fine-tuned from Helsinki-NLP/opus-mt-nl-en and optimized for medical domain texts, serving as a benchmark model for Dutch clinical natural language processing systems.

Model Features

Medical Domain Optimization

Trained with professional medical data, optimized for clinical text translation

Ontology-Based Dictionary

Integrated with SNOMED medical terminology dictionary to improve accuracy in professional term translation

Benchmark Model

Can serve as a standard translation benchmark for Dutch clinical NLP systems

Model Capabilities

Medical text translation

Professional term recognition

Cross-language clinical information conversion

Use Cases

Medical Informatization

Clinical Record Translation

Translate Dutch clinical records into English for international medical communication

Enhances accuracy and consistency in cross-language medical documentation

Medical Research Literature Processing

Translate Dutch medical research literature to facilitate international academic exchange

🚀 Opus-MT-NL-EN-Healthcare

This model can be used to translate medical text from Dutch to English, serving as a baseline for Clinical NLP systems in Dutch.

🚀 Quick Start

This model is designed to translate medical text from Dutch to English, offering a baseline for Clinical NLP systems in Dutch.

✨ Features

Translates medical text from Dutch to English.
Serves as a baseline for Clinical NLP systems in Dutch.

📦 Installation

No installation steps were provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples were provided in the original document, so this section is skipped.

📚 Documentation

Model Details

Model Description

This model, based on MarianMT, was trained using OpusNLP data and specialized medical data (refer to the paper for more details).

Property	Details
Developed by	François Remy
Model Type	Translation
Languages	From Dutch to English
License	MIT
Finetuned from model	Helsinki-NLP/opus-mt-nl-en

Model Sources

Repository: Snomed Translation Dictionaries
Paper: Taming large lexicons: translating clinical text using medical ontologies and sentence templates

🔧 Technical Details

No specific technical implementation details were provided in the original document, so this section is skipped.

📄 License

The model is released under the MIT license.

📄 Citation

If you use this model as part of your work, please cite the following paper:

BibTeX:

@inproceedings{remy-et-al-2022-translating,
  author       = {{Remy, François and De Jaeger, P. and Demuynck, Kris}},
  title        = {{Taming large lexicons: translating clinical text using medical ontologies and sentence templates}},
  booktitle    = {{EmP 2022}}
  location     = {{Roeselare, Belgium}},
  year         = {{2022}},
  language     = {{en}},
  pages        = {{5}},
}

APA:

Remy, F., De Jaeger, P., & Demuynck, K. (2022). Taming large lexicons: translating clinical text using medical ontologies and sentence templates. Presented at the EmP 2022, The “Engineers meet Practicians” conference, Roeselare, Belgium.

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