MT_Models
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Machine Translation models
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Projecte Aina’s Spanish-Aranese machine translation model
Model description
This model was created as part of the participation of Language Technologies Unit at BSC in the WMT24 Shared Task: Translation into Low-Resource Languages of Spain. It results from a full fine-tuning of the NLLB-200-600M model with a Spanish-Aranese corpus. Specifically, we used the transformers library from Hugging Face and a filtered version of the Spanish-Aranese dataset to fine-tune the model. Since the original NLLB-200-600M doesn't support Aranese, we added a new token ("arn_Latn") to enable translation into Aranese. This language tag helps the model recognize the source and target languages for translation. The model was evaluated using the Flores+ evaluation datasets. Please refer to the paper for more information.
Intended uses and limitations
You can use this model for machine translation from Spanish to Aranese.
Limitations and bias
At the time of submission, no measures have been taken to estimate the bias and toxicity embedded in the model. However, we are well aware that our models may be biased. We intend to conduct research in these areas in the future, and if completed, this model card will be updated.
Evaluation
Variable and metrics
We use the BLEU and ChrF score for evaluation on the Flores+ evaluation datasets.
Evaluation results
Below are the evaluation results on the machine translation from Spanish to Aranese compared to Apertium and Softcatala (cascading through Catalan):
| Test set (BLEU) | Apertium | Softcatala | Our model |
|---|---|---|---|
| Flores dev | 48.96 | 34.43 | 55.50 |
| Flores devtest | 28.85 | 26.07 | 30.12 |
| Test set (ChrF) | Apertium | Softcatala | Our model |
|---|---|---|---|
| Flores dev | 72.63 | 58.61 | 76.04 |
| Flores devtest | 49.42 | 48.29 | 50.05 |
Additional information
Paper
For further information, please refer to the paper published for the Shared Task: Translation into Low-Resource Languages of Spain (WMT24)
Author
The Language Technologies Unit from Barcelona Supercomputing Center.
Contact
For further information, please send an email to langtech@bsc.es.
Copyright
Copyright(c) 2024 by Language Technologies Unit, Barcelona Supercomputing Center.
License
Funding
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública and Plan de Recuperación, Transformación y Resiliencia - Funded by EU – NextGenerationEU within the framework of the project ILENIA with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335, 2022/TL22/00215334.
The publication is part of the project PID2021-123988OB-C33, funded by MCIN/AEI/10.13039/501100011033/FEDER, EU.
Disclaimer
Click to expand
The model published in this repository is intended for a generalist purpose and is available to third parties under a CC BY-NC 4.0 license.
Be aware that the model may have biases and/or any other undesirable distortions.
When third parties deploy or provide systems and/or services to other parties using this model (or any system based on it) or become users of the model, they should note that it is their responsibility to mitigate the risks arising from its use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
In no event shall the owner and creator of the model (Barcelona Supercomputing Center) be liable for any results arising from the use made by third parties.
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Model tree for projecte-aina/aina-translator-es-oc
Base model
facebook/nllb-200-distilled-600M