Opus Mt En Ru
OPUS-MT English to Russian machine translation model, based on Transformer architecture, trained using OPUS datasets.
Downloads 147.49k
Release Time : 3/2/2022
Model Overview
This model is a Transformer-based machine translation model specifically designed for translating English text into Russian. It was developed by the Helsinki-NLP team and trained using the multilingual OPUS dataset.
Model Features
Transformer-based architecture
Utilizes advanced Transformer architecture to deliver high-quality translation results.
Trained on OPUS dataset
Training data sourced from the multilingual OPUS dataset, covering a wide range of domains and contexts.
Standardized preprocessing
Input text undergoes standardization and SentencePiece tokenization to enhance translation quality.
Model Capabilities
English to Russian text translation
Supports translation across multiple domains
Use Cases
Text translation
News translation
Translate English news articles into Russian.
Achieves BLEU scores of 23.5-31.1 on the newstest2012-2019 test set.
Daily conversation translation
Translate English daily conversations into Russian.
Achieves a BLEU score of 48.4 on the Tatoeba test set.
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