Opus Mt En Ss
An English-to-Swati machine translation model provided by the OPUS-MT project, implemented based on the Transformer architecture.
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Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating English text into Swati. It is part of the OPUS-MT project and was trained using publicly available parallel corpora.
Model Features
Transformer-based Architecture
Utilizes the advanced transformer-align architecture to effectively handle alignment relationships between languages.
Standardized Preprocessing
Employs standardized preprocessing workflows and SentencePiece tokenization techniques to enhance translation quality.
Trained on Public Datasets
Trained on publicly available parallel corpora such as OPUS, ensuring broad and diverse data sources.
Model Capabilities
English-to-Swati text translation
Handling translations of everyday language and technical terminology
Use Cases
Text Translation
Document Translation
Translate English documents into Swati
Achieved a BLEU score of 25.7 on the JW300 test set
Web Content Localization
Assist in localizing English web content into Swati versions
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