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Opus Mt Cs Fi
A Transformer-based machine translation model for Czech to Finnish, developed by the Helsinki-NLP team and trained on the OPUS dataset.
Downloads 30
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model specifically designed for translating Czech text into Finnish. It employs the Transformer architecture and uses SentencePiece for text preprocessing.
Model Features
Transformer-based Architecture
Utilizes the advanced Transformer architecture to effectively handle long-range dependencies and improve translation quality.
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing the model's ability to process input text.
Alignment Mechanism
Incorporates an alignment mechanism to better capture correspondences between source and target languages.
Model Capabilities
Czech to Finnish text translation
Use Cases
Text Translation
Document Translation
Automatically translates Czech documents into Finnish
Achieved a BLEU score of 25.5 on the JW300 test set
Web Content Localization
Facilitates quick conversion of Czech web content into Finnish versions
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