Opus Mt En Iso
A Transformer-based machine translation model for English to ISO languages, developed by the Helsinki-NLP team.
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Release Time : 3/2/2022
Model Overview
This model is a Transformer-based neural machine translation model specifically designed to translate English text into multiple ISO standard languages. It is trained on the OPUS dataset and supports standardized preprocessing and SentencePiece tokenization.
Model Features
Multilingual Support
Supports translation from English to multiple ISO standard languages.
Transformer-based Architecture
Utilizes the advanced transformer-align architecture to deliver high-quality translation results.
Standardized Preprocessing
Employs standardized preprocessing and SentencePiece tokenization techniques to enhance translation quality.
Model Capabilities
Text Translation
Multilingual Processing
Use Cases
Multilingual Content Processing
Document Translation
Translate English documents into multiple ISO standard languages.
Achieves a BLEU score of 35.7 on the JW300 test set.
Multilingual Content Localization
Provides content localization support for international applications.
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