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README.md

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+**Descrición do Modelo** 
+
+Modelo feito con OpenNMT para o par español-galego utilizando unha arquitectura transformer. 
+
+**Como utilizar**
+
++ Abrir terminal bash
++ Instalar [Python 3.9](https://www.python.org/downloads/release/python-390/)
++ Instalar [Open NMT toolkit v.2.2](https://github.com/OpenNMT/OpenNMT-py)
++ Traducir un input_text utilizando o modelo NOS-MT-es-gl co seguinte comando:
+
+```bash 
+onmt_translate -src input_text -model NOS-MT-es-gl -output ./output_file.txt -replace_unk -phrase_table phrase_table-es-gl.txt -gpu 0
+```
++ O resultado da tradución estará no PATH indicado no flag -output.
+
+**Adestramento**
+
+Datos utilizados para o adestramento
+
+As a data for fine-tuning we used the Softcatalà Catalan-German parallel corpus dataset, with sentences deduplicated and filtered by the GEnCaTa quality filter. 
+
+Auténticos e Sintéticos (Transliteração)[Colocar Paper] 
+
+**Procedemento de adestramento**
+
+Tokenization 
+
+The original m2m100_418M model's sentencepiece tokenizer was used. 
+
+BPE 
+
+**Hiperparámetros** 
+
+The model was trained for 2 epochs with the default parameters and LR=2e−5LR = 2\mathrm{e}{-5}LR=2e−5. 
+
+Colocar o yaml para cada um dos pares 
+
+**Avaliación** 
+
+
+**Información adicional** 
+
+Licensing information 
+
+Apache License, Version 2.0 
+
+**Financiamento** 
+
+This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA. 
+
+Citation Information 
+
+@article{garriga2022catalan, 
+  title={A Catalan-German machine translation system based on the M2M-100 multilingual model}, 
+  author={Garriga Riba, Pol}, 
+  year={2022}, 
+  url={https://repositori.upf.edu/bitstream/handle/10230/54301/GarrigaRiba_2022.pdf?sequence=1&isAllowed=y} 
+}