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Opus Mt En Tiv
OPUS-MT English to Tiv machine translation model, based on Transformer architecture, developed by the Helsinki-NLP team.
Downloads 53
Release Time : 3/2/2022
Model Overview
This model is a Transformer-based neural machine translation model specifically designed for translating English into Tiv. It is part of the OPUS-MT project, aiming to provide high-quality machine translation for low-resource languages.
Model Features
Transformer-based Architecture
Utilizes advanced Transformer architecture to deliver high-quality translation results.
Low-resource Language Support
Optimized specifically for the low-resource Tiv language, filling the gap in machine translation for this language.
Standardized Preprocessing
Employs standardized preprocessing and SentencePiece for text processing, enhancing model efficiency.
Model Capabilities
English to Tiv text translation
Use Cases
Language Translation
Document Translation
Translate English documents into Tiv, aiding Tiv speakers in accessing information.
Achieved a BLEU score of 31.6 on the JW300 test set.
Cross-language Communication
Used for real-time translation between English and Tiv.
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