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Opus Mt Cs En
opus-mt-cs-en is a Transformer-based machine translation model for Czech to English, developed by the Helsinki-NLP team.
Downloads 6,161
Release Time : 3/2/2022
Model Overview
This model is specifically designed for translating Czech text into English, utilizing the Transformer-align architecture and trained on the OPUS dataset.
Model Features
Trained on OPUS dataset
The model is trained on the OPUS dataset, ensuring diversity and accuracy in translations.
Standardized preprocessing
Utilizes standardized and SentencePiece preprocessing techniques to enhance translation quality.
Multi-test set validation
The model has been validated on multiple test sets, including newstest2014 to newstest2018 and the Tatoeba dataset.
Model Capabilities
Czech to English text translation
Supports translation across various text domains
Use Cases
News translation
News article translation
Translates Czech news articles into English for international readers.
BLEU scores range from 28.7 to 34.1 on the newstest2014 to newstest2018 test sets.
Daily conversation translation
Daily conversation translation
Translates Czech daily conversations into English for cross-language communication scenarios.
Achieves a BLEU score of 58.0 and chr-F score of 0.721 on the Tatoeba test set.
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