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Opus Mt De Es
German to Spanish machine translation model trained on the OPUS dataset, using transformer-align architecture
Downloads 3,557
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating German text into Spanish. It was trained and released by the Helsinki-NLP team as part of the OPUS-MT project.
Model Features
Based on OPUS dataset
Trained using the high-quality multilingual OPUS dataset to ensure translation quality
Transformer architecture
Utilizes the advanced transformer-align architecture capable of capturing long-range dependencies
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing to enhance model robustness
Model Capabilities
German to Spanish text translation
Handles standardized text input
Generates fluent target language output
Use Cases
Text translation
Document translation
Translating German documents into Spanish
Achieved 48.5 BLEU score on the Tatoeba test set
Website localization
Assisting in translating German website content into Spanish versions
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