Opus Mt Pl En
A Transformer-based Polish-to-English machine translation model developed by the Helsinki-NLP team, trained using the OPUS dataset.
Downloads 99.67k
Release Time : 3/2/2022
Model Overview
This model is a Transformer-based neural machine translation model specifically designed for translating Polish to English. It employs standardization and SentencePiece tokenization techniques for preprocessing and is suitable for general text translation tasks.
Model Features
Transformer-based architecture
Utilizes the advanced Transformer architecture to deliver high-quality translation results.
SentencePiece tokenization
Employs SentencePiece for tokenization, enhancing the model's vocabulary processing capabilities.
Standardized preprocessing
Input text undergoes standardized preprocessing to improve the model's robustness and consistency.
Model Capabilities
Polish to English text translation
Supports general text translation tasks
Use Cases
Text translation
Document translation
Translate Polish documents into English
Achieved a BLEU score of 54.9 on the Tatoeba test set
Web content translation
Real-time translation of Polish web content into English
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