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README.md
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license: mit
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license: mit
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license: mit
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---
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**Descrición do Modelo**
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Modelo feito con OpenNMT para o par español-galego utilizando unha arquitectura transformer.
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**Como utilizar**
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+ Abrir terminal bash
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+ Instalar [Python 3.9](https://www.python.org/downloads/release/python-390/)
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+ Instalar [Open NMT toolkit v.2.2](https://github.com/OpenNMT/OpenNMT-py)
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+ Traducir un input_text utilizando o modelo NOS-MT-en-gl co seguinte comando:
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```bash
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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
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```
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+ O resultado da tradución estará no PATH indicado no flag -output.
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**Adestramento**
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Datos utilizados para o adestramento
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Auténticos e Sintéticos (Transliteração)[Colocar Paper]
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**Procedemento de adestramento**
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Tokenization
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BPE
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**Hiperparámetros**
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Colocar o yaml para cada um dos pares
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**Avaliación**
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**Información adicional**
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Licensing information
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Apache License, Version 2.0
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**Financiamento**
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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.
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Citation Information
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@article{garriga2022catalan,
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title={A Catalan-German machine translation system based on the M2M-100 multilingual model},
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author={Garriga Riba, Pol},
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year={2022},
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url={https://repositori.upf.edu/bitstream/handle/10230/54301/GarrigaRiba_2022.pdf?sequence=1&isAllowed=y}
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}
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