Opus Mt En Ee
This is a Transformer-based machine translation model for English to Ewe, developed by the Helsinki-NLP team.
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Release Time : 3/2/2022
Model Overview
This model is specifically designed for translating English text into Ewe, using the transformer-align architecture and trained on OPUS datasets.
Model Features
Transformer-based architecture
Utilizes the transformer-align architecture to effectively handle long-range dependencies and improve translation quality.
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing to enhance the model's generalization capability.
Multi-dataset training
Trained on multi-source datasets such as OPUS, covering a wide range of translation scenarios.
Model Capabilities
English to Ewe text translation
Supports standardized text input
Supports batch translation
Use Cases
Language translation
Document translation
Translate English documents into Ewe for cross-language document processing.
Achieved a BLEU score of 38.2 on the JW300 test set.
Daily conversation translation
Used for translating daily conversations between English and Ewe.
Achieved a BLEU score of 6.0 on the Tatoeba test set.
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