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Mbart Large En Ro
English-Romanian translation model based on mbart-large-cc25 architecture, fine-tuned on the wmt_en_ro dataset
Downloads 15.47k
Release Time : 3/2/2022
Model Overview
This model is a sequence-to-sequence model specifically designed for English-to-Romanian translation, implemented based on the multilingual BART architecture.
Model Features
High-Quality Translation
Achieves a BLEU score of 38 after post-processing, delivering professional-level translation quality
Multilingual Support
Based on the mbart architecture, capable of handling multilingual tasks
Post-processing Optimization
Provides Romanian-specific post-processing solutions that significantly improve translation quality
Model Capabilities
English-to-Romanian Translation
Cross-lingual Text Conversion
Use Cases
Language Services
Document Translation
Translate English documents into Romanian
Professional-level translation quality, BLEU score 38
Multilingual Application Integration
Add English-Romanian translation functionality to applications
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