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Opus Mt En Fr

Developed by Helsinki-NLP
opus-mt-en-fr is an English-to-French machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.
Downloads 325.86k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating English text into French, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-quality translation
Performs excellently on multiple test sets, achieving a maximum BLEU score of 50.5.
Standardized preprocessing
Uses standardization and SentencePiece tokenization techniques to enhance translation quality.
Multi-test set validation
Validated on multiple public test sets such as newsdiscusstest2015, Tatoeba, etc.

Model Capabilities

English-to-French text translation
Supports translation of various text types

Use Cases

Text translation
News translation
Translates English news into French, suitable for news media and multilingual content publishing.
Achieved a BLEU score of 40.0 on the newsdiscusstest2015 test set.
Daily conversation translation
Translates English daily conversations into French, suitable for chat applications and language learning tools.
Achieved a BLEU score of 50.5 on the Tatoeba test set.
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