Opus Mt Tc En Pl
This is a neural machine translation model for English to Polish based on the Transformer architecture, trained by the Helsinki NLP team using the MarianNMT library.
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Release Time : 3/2/2022
Model Overview
This model is specifically designed for translating English text into Polish, trained on the Tatoeba dataset, and suitable for general text translation tasks.
Model Features
High-quality translation
Achieves a BLEU score of 47.5 and a chr-F score of 0.673 on the Tatoeba test set, demonstrating excellent performance.
Trained on large-scale data
Trained using 59,742,979 English-Polish sentence pairs from the Tatoeba dataset.
Standardized preprocessing
Employs normalization and SentencePiece tokenization (spm32k) for text preprocessing.
Model Capabilities
English to Polish text translation
Handling general domain text
Use Cases
Text translation
Daily conversation translation
Translating English daily conversations into Polish
Performs well on the Tatoeba test set
Content localization
Localizing English content into Polish versions
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