opus-mt-es-gl
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Architecture | transformer-align |
| BLEU Score | 67.6 |
| chrF Score | 0.808 |
What is opus-mt-es-gl?
opus-mt-es-gl is a specialized machine translation model developed by Helsinki-NLP for translating Spanish (es) to Galician (gl). It's built on the transformer-align architecture and demonstrates exceptional performance with a BLEU score of 67.6 and a chrF score of 0.808 on the Tatoeba test set.
Implementation Details
The model employs normalization and SentencePiece tokenization with spm4k configuration for both source and target languages. It was trained on June 16, 2020, and is part of the larger OPUS machine translation initiative.
- Pre-processing: Normalization + SentencePiece (spm4k,spm4k)
- Source Language: Spanish (spa)
- Target Language: Galician (glg)
- Framework Support: PyTorch and TensorFlow
Core Capabilities
- High-accuracy Spanish to Galician translation
- Optimized for production deployment
- Supports inference endpoints
- Excellent performance metrics (67.6 BLEU score)
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its exceptional translation accuracy between Spanish and Galician, demonstrated by its high BLEU score of 67.6. It's specifically optimized for this language pair, making it ideal for specialized translation tasks between these closely related languages.
Q: What are the recommended use cases?
This model is best suited for professional translation services, content localization between Spanish and Galician, and academic research in Romance languages. It's particularly valuable for organizations working in Spain's Galician region or dealing with bilingual content.
