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Opus Mt Fr Ha

Developed by Helsinki-NLP
opus-mt-fr-ha is a machine translation model based on the transformer-align architecture, specifically designed for translating French (fr) to Hausa (ha). Developed by the Helsinki-NLP team, this model is trained on the OPUS dataset.
Downloads 20
Release Time : 3/2/2022

Model Overview

This model is a machine translation model based on the transformer-align architecture, primarily used for French-to-Hausa translation tasks. It employs normalization and SentencePiece preprocessing techniques, making it suitable for applications requiring French-to-Hausa translation.

Model Features

Transformer-align architecture
Utilizes the transformer-align architecture to effectively handle French-to-Hausa translation tasks, delivering high-quality translation results.
Normalization and SentencePiece preprocessing
Employs normalization and SentencePiece preprocessing techniques to enhance the model's translation quality and consistency.
Trained on OPUS dataset
The model is trained on the OPUS dataset, which includes a rich corpus of French and Hausa texts, improving translation diversity and accuracy.

Model Capabilities

French-to-Hausa text translation
Supports text input with normalization and SentencePiece preprocessing

Use Cases

Language translation
French-to-Hausa document translation
Translates French documents into Hausa, suitable for multilingual document processing scenarios.
Achieved a BLEU score of 24.4 and chr-F score of 0.447 on the JW300.fr.ha test set.
Multilingual content generation
Generates Hausa content for multilingual websites or applications, aiding in content localization.
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