opus-mt-es-it
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Framework | PyTorch/TensorFlow |
| Task | Spanish to Italian Translation |
| BLEU Score | 55.9 (Tatoeba) |
What is opus-mt-es-it?
opus-mt-es-it is a specialized neural machine translation model developed by Helsinki-NLP for translating Spanish text to Italian. Built on the transformer-align architecture and trained on the OPUS dataset, this model demonstrates strong performance with a BLEU score of 55.9 on the Tatoeba test set.
Implementation Details
The model utilizes a transformer-align architecture with normalization and SentencePiece pre-processing. It's implemented using both PyTorch and TensorFlow frameworks, making it versatile for different deployment scenarios.
- Pre-processing: Normalization + SentencePiece tokenization
- Architecture: Transformer-align
- Training Dataset: OPUS corpus
- Evaluation Metric: BLEU (55.9) and chr-F (0.751) on Tatoeba test set
Core Capabilities
- High-quality Spanish to Italian translation
- Support for both PyTorch and TensorFlow frameworks
- Suitable for production deployment through Inference Endpoints
- Comprehensive evaluation metrics available
Frequently Asked Questions
Q: What makes this model unique?
This model combines high translation accuracy (55.9 BLEU score) with practical deployment flexibility through multiple framework support and inference endpoints. It's particularly notable for its strong performance on the Tatoeba test set.
Q: What are the recommended use cases?
The model is ideal for applications requiring Spanish to Italian translation, such as content localization, document translation, and multilingual NLP pipelines. Its Apache 2.0 license makes it suitable for both commercial and non-commercial applications.
