Opus Mt Fr Ro
A French to Romanian neural machine translation model based on Transformer architecture, developed by the Helsinki-NLP team
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Release Time : 3/2/2022
Model Overview
This is a machine translation model trained on the OPUS multilingual corpus for French to Romanian, utilizing transformer-align architecture and SentencePiece tokenization
Model Features
Alignment attention mechanism
Uses transformer-align architecture to better handle word alignment between source and target languages during translation
SentencePiece tokenization
Employs SentencePiece for text preprocessing, enhancing the ability to handle out-of-vocabulary words
OPUS corpus training
Trained on the multilingual OPUS corpus, providing good domain adaptability
Model Capabilities
French to Romanian text translation
Handling translations of everyday language and technical terms
Use Cases
Text translation
Web content translation
Automatically translate French web content into Romanian
Document translation
Translate French technical documents or business files into Romanian
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