O

Opus Mt Fr El

Developed by Helsinki-NLP
A Transformer-based French to Greek machine translation model developed by the Helsinki-NLP team, trained on the OPUS dataset.
Downloads 40
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating French text into Greek. It employs SentencePiece for tokenization and has been trained on the OPUS dataset.

Model Features

Transformer-based alignment model
Utilizes the transformer-align architecture to better handle alignment relationships between source and target languages.
SentencePiece tokenization
Uses SentencePiece for tokenization, improving the model's ability to handle out-of-vocabulary words.
Trained on OPUS dataset
Trained on the high-quality OPUS multilingual parallel corpus, ensuring translation quality.

Model Capabilities

French to Greek text translation
Handles translation of everyday language and technical terms

Use Cases

Text translation
Document translation
Automatically translates French documents into Greek
Achieved a BLEU score of 56.2 on the Tatoeba test set
Website content localization
Helps quickly translate French website content into Greek versions
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase