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Opus Mt Cs Fr
Czech-to-French machine translation model trained on the OPUS dataset, using transformer-align architecture
Downloads 41
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating Czech text into French. The model was trained on the OPUS multilingual parallel corpus, utilizing normalization and SentencePiece preprocessing techniques.
Model Features
Based on OPUS dataset
Trained on high-quality multilingual parallel corpus to ensure translation accuracy
transformer-align architecture
Utilizes advanced transformer-align architecture with optimized alignment mechanisms to improve translation quality
Standardized preprocessing
Employs normalization and SentencePiece techniques for text preprocessing to enhance model robustness
Model Capabilities
Czech-to-French text translation
Handles both formal and informal texts
Supports translation across various domains
Use Cases
Text translation
News translation
Translating Czech news articles into French
Achieved 21.0 BLEU score on the GlobalVoices test set
Business document translation
Translating formal documents such as contracts and emails
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