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Opus Mt Ru Da

Developed by Helsinki-NLP
This is a Russian-to-Danish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team and released under the Tatoeba-Challenge project.
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Russian-to-Danish text translation tasks, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-quality translation performance
Achieved 56.6 BLEU score and 0.714 chr-F score on the Tatoeba test set
Standardized preprocessing
Utilizes standardized preprocessing and SentencePiece tokenization (spm32k) for text processing
Language-pair specific optimization
Specially trained and optimized for Russian-Danish translation tasks

Model Capabilities

Russian-to-Danish text translation
Supports standardized text processing
Supports SentencePiece tokenization

Use Cases

Language Translation
Russian-Danish text translation
Translate Russian text into Danish
Achieved 56.6 BLEU score on the Tatoeba test set
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