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