Update README.md

README.md

@@ -1,3 +1,56 @@
 ---
 license: cc-by-nc-sa-4.0
+language:
+- en
+- hu
+tags:
+- translation
+- opennmt
+
+inference: false
 ---
+
+### Introduction
+
+English - Hungarian translation model that was trained on the [Hunglish2](http://mokk.bme.hu/resources/hunglishcorpus/) dataset using OpenNMT. 
+
+### Usage
+
+Install the necessary dependencies:
+
+```bash
+pip3 install ctranslate2 pyonmttok
+```
+
+Simple tokenization & translation using Python:
+
+
+```python
+import ctranslate2
+import pyonmttok
+from huggingface_hub import snapshot_download
+model_dir = snapshot_download(repo_id="SZTAKI-HLT/opennmt-en-hu", revision="main")
+
+tokenizer=pyonmttok.Tokenizer(mode="none", sp_model_path = model_dir + "/sp_m.model")
+tokenized=tokenizer.tokenize("Hello világ")
+
+translator = ctranslate2.Translator(model_dir)
+translated = translator.translate_batch([tokenized[0]])
+print(tokenizer.detokenize(translated[0].hypotheses[0]))
+```
+
+
+## Citation
+
+If you use our model, please cite the following paper:
+```
+
+@inproceedings{nagy2022syntax,
+  title={Syntax-based data augmentation for Hungarian-English machine translation},
+  author={Nagy, Attila and Nanys, Patrick and Konr{\'a}d, Bal{\'a}zs Frey and Bial, Bence and {\'A}cs, Judit},
+  booktitle = {XVIII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2022)},
+  year={2022},
+  publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
+}
+
+```