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Developed by Helsinki-NLP
This is a German-to-Spanish neural machine translation model developed by the Language Technology Research Group at the University of Helsinki, as part of the OPUS-MT project.
Downloads 33
Release Time : 8/12/2022

Model Overview

This model is specifically designed for German-to-Spanish translation tasks, trained on the transformer-big architecture, supporting high-quality text translation.

Model Features

High-Quality Translation
Performs excellently on multiple test sets, achieving a BLEU score of up to 50.8.
Multi-Dataset Training
Trained using multiple public datasets such as OPUS, covering a wide range of domains.
Open-Source License
Uses the CC-BY-4.0 license, allowing for both commercial and research use.

Model Capabilities

German-to-Spanish text translation
Batch text processing
Supports translation across multiple text domains

Use Cases

Content Translation
News Translation
Translate German news articles into Spanish
Achieved a BLEU score of 33.8 on the newstest2010 test set
Social Media Content Translation
Translate social media posts and comments
Achieved a BLEU score of 50.8 on the tatoeba-test-v2021-08-07 test set
Education
Learning Aid
Assist language learners in understanding German content
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