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Opus Mt De De
German-to-German machine translation model provided by the OPUS-MT project, implemented based on Transformer architecture
Downloads 211
Release Time : 3/2/2022
Model Overview
This is a German-to-German neural machine translation model primarily used for text translation tasks. The model is based on the Transformer architecture and trained using the OPUS multilingual parallel corpus.
Model Features
Transformer-based Architecture
Utilizes advanced Transformer neural network architecture with improved long-range dependency processing capabilities
SentencePiece Tokenization
Employs SentencePiece for text preprocessing to enhance the model's vocabulary handling capability
Standardized Preprocessing
Input text undergoes standardized processing to improve model robustness
Model Capabilities
German Text Translation
Same-language Text Conversion
Use Cases
Text Processing
German Text Rewriting
Converts German text into different expressions in German
Language Style Conversion
Transforms German text from one style to another
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