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Opus Mt De Cs
opus-mt-de-cs is a German-to-Czech machine translation model based on the Transformer architecture, developed by the University of Helsinki NLP team.
Downloads 90
Release Time : 3/2/2022
Model Overview
This model is specifically designed for translating German text into Czech, utilizing the Transformer-align architecture and trained on the OPUS dataset.
Model Features
Based on OPUS dataset
The model is trained on the OPUS dataset, which contains parallel corpora for multiple languages.
Standardized preprocessing
Uses standardization and SentencePiece for text preprocessing to improve translation quality.
Multi-test set evaluation
The model is evaluated on multiple test sets, including newssyscomb2009, news-test2008, etc.
Model Capabilities
German-to-Czech text translation
Supports translation tasks on multiple test sets
Use Cases
Text translation
News translation
Translates German news into Czech, suitable for news media and multilingual content publishing.
Achieved a BLEU score of 22.4 on the newssyscomb2009 test set.
Daily conversation translation
Translates German daily conversations into Czech, suitable for chat applications and language learning tools.
Achieved a BLEU score of 42.2 on the Tatoeba test set.
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