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Opus Mt Cs Sv
A Transformer-based neural machine translation model from Czech to Swedish, developed by the Helsinki-NLP team
Downloads 29
Release Time : 3/2/2022
Model Overview
This model is a machine translation model trained on the OPUS multilingual parallel corpus for Czech to Swedish, utilizing the Transformer-align architecture and SentencePiece tokenization
Model Features
Alignment Attention Mechanism
Utilizes the transformer-align architecture to achieve word alignment between source and target languages during translation
Standardized Preprocessing
Employs a standardized text preprocessing pipeline to ensure input text consistency
Subword Tokenization
Uses SentencePiece for subword tokenization, effectively handling rare vocabulary
Model Capabilities
Czech to Swedish text translation
Handling common domain texts
Support for long sentence translation
Use Cases
Text Translation
Multilingual Content Localization
Translating Czech content into Swedish for website or application localization
Achieved a BLEU score of 30.6 on the JW300 test set
Cross-language Information Access
Assisting Swedish users in understanding Czech documents or news
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