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Opus Mt En Ca
English-to-Catalan machine translation model trained on OPUS data, using transformer-align architecture
Downloads 847
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on Transformer architecture, specifically designed for translating English text into Catalan. The model is trained on the OPUS multilingual parallel corpus and is suitable for general text translation tasks.
Model Features
Trained on OPUS corpus
Trained using the large-scale multilingual parallel corpus OPUS to ensure translation quality
Transformer-align architecture
Utilizes Transformer architecture with alignment mechanism to improve translation accuracy
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing to enhance model generalization
Model Capabilities
English-to-Catalan text translation
Handling general domain text translation
Use Cases
Text translation
Document translation
Translate English documents into Catalan
Achieved 47.2 BLEU score on Tatoeba test set
Content localization
Localize English content into Catalan
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