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Opus Mt Fr Bi

Developed by Helsinki-NLP
A French to Bislama machine translation model based on Transformer architecture, developed by the Helsinki-NLP team.
Downloads 18
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating French text into Bislama. It is trained using the OPUS dataset and employs SentencePiece for text preprocessing.

Model Features

Transformer-based architecture
Utilizes advanced Transformer architecture to deliver high-quality translation results.
SentencePiece preprocessing
Employs SentencePiece for text normalization and tokenization to enhance translation accuracy.
Trained on OPUS dataset
Trained on the multilingual OPUS dataset, supporting a wide range of translation scenarios.

Model Capabilities

French to Bislama text translation
Supports batch text translation

Use Cases

Language translation
Document translation
Translate French documents into Bislama
Achieved 28.4 BLEU score on the JW300 test set
Cross-language communication
Facilitates written communication between French and Bislama speakers
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