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Opus Mt En Mg
A Transformer-based machine translation model from English to Malagasy, developed by the Helsinki-NLP team.
Downloads 83
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on the Transformer-align architecture, specifically designed for translating English text into Malagasy. It is trained on the OPUS dataset and undergoes normalization and SentencePiece preprocessing.
Model Features
Transformer-align Architecture
Utilizes the advanced Transformer-align architecture for better handling of language alignment issues.
Normalized Preprocessing
Input text undergoes normalization and SentencePiece preprocessing to enhance translation quality.
Multi-domain Adaptability
Performs well on multiple test sets like GlobalVoices and Tatoeba, demonstrating its multi-domain adaptability.
Model Capabilities
English to Malagasy text translation
Handles normalized text input
Generates fluent target language output
Use Cases
Content Localization
News Translation
Translates English news content into Malagasy
Achieved a BLEU score of 22.3 on the GlobalVoices test set
Educational Applications
Learning Aid
Assists Malagasy learners in understanding English content
Achieved a BLEU score of 35.5 on the Tatoeba test set
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