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Opus Mt Nl Fr

Developed by Helsinki-NLP
This is a Dutch-to-French machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.
Downloads 6,776
Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Dutch text into French, suitable for scenarios requiring fast and accurate translation.

Model Features

Transformer-based architecture
Utilizes the advanced Transformer architecture to ensure translation quality and efficiency.
Trained on OPUS dataset
Training data comes from the OPUS multilingual parallel corpus, covering a wide range of domains and contexts.
Standardized preprocessing
Input text undergoes standardization and SentencePiece tokenization to enhance model processing efficiency.

Model Capabilities

Dutch-to-French text translation
Supports translation across multiple domains

Use Cases

Text translation
Multilingual content translation
Quickly translates Dutch content into French, suitable for multilingual websites or documents.
Achieved a BLEU score of 51.3 on the Tatoeba test set.
Cross-language communication
Facilitates communication between Dutch and French speakers.
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