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Opus Mt En Ln
English to Lingala machine translation model trained on OPUS dataset, using transformer-align architecture
Downloads 36
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on Transformer architecture, specifically designed for translating English text into Lingala. It was developed by the Helsinki-NLP team and trained using the OPUS multilingual dataset.
Model Features
Based on OPUS Dataset
Trained on the large-scale multilingual OPUS dataset to ensure translation quality
Transformer Architecture
Utilizes advanced transformer-align architecture to support high-quality sequence-to-sequence translation
Standardized Preprocessing
Employs standardization and SentencePiece for text preprocessing to enhance model processing capability
Model Capabilities
English to Lingala text translation
Supports batch text translation
Use Cases
Language Services
Document Translation
Translate English documents into Lingala
Achieved 36.7 BLEU score on JW300 test set
Content Localization
Assist in localizing English content into Lingala
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