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Opus Mt Fr Guw

Developed by Helsinki-NLP
A Transformer-based French to Gujarati machine translation model developed by the Helsinki-NLP team.
Downloads 16
Release Time : 3/2/2022

Model Overview

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

Model Features

Transformer-based Architecture
Utilizes the advanced Transformer architecture to deliver high-quality translation results.
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing the model's processing capabilities.
Trained on OPUS Dataset
Trained on the multilingual OPUS dataset, providing extensive language coverage.

Model Capabilities

French to Gujarati text translation
Supports long text translation
Supports batch translation

Use Cases

Multilingual Translation
French Document Translation
Translate French documents or web content into Gujarati.
Achieved a BLEU score of 31.4 on the JW300 test set.
Cross-language Communication
Used for real-time translation between French and Gujarati speakers.
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