Update README.md

README.md

@@ -1,3 +1,52 @@
 ---
 license: mit
+language:
+- nl
+- en
+pipeline_tag: translation
 ---
+# Opus-MT-NL-EN-Healthcare
+
+This model can be used to translate medical text from Dutch to English, as a baseline for Clinical NLP systems in Dutch.
+
+## Model Details
+
+### Model Description
+
+This model based on MarianMT was trained using OpusNLP data as well as specialized medical data (see paper for more 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](https://github.com/FremyCompany/snomed-translate-dictionaries)
+- **Paper:** [Taming large lexicons: translating clinical text using medical ontologies and sentence templates](https://biblio.ugent.be/publication/01GMN7J3X37CKWCKQV6DWGM4ZE/file/01GMN7NT30DKF37RXN31DSJZ2D.pdf)
+
+## 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.
+```
+