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Opus Mt Ru Es
A Transformer-based Russian-to-Spanish machine translation model developed by the Helsinki-NLP team, trained using the OPUS dataset.
Downloads 942
Release Time : 3/2/2022
Model Overview
This model is a neural machine translation model specifically designed for translating Russian text into Spanish. It employs the standard Transformer architecture and uses SentencePiece for tokenization.
Model Features
Transformer-based Architecture
Utilizes the advanced Transformer architecture to deliver high-quality translation results.
SentencePiece Tokenization
Employs SentencePiece for text tokenization, enhancing the model's ability to handle complex texts.
Multi-test Set Validation
Validated on multiple test sets including newstest2012, newstest2013, and Tatoeba to ensure translation quality.
Model Capabilities
Russian to Spanish text translation
Handling standardized texts
Support for SentencePiece tokenization
Use Cases
Text Translation
News Translation
Translating Russian news content into Spanish, suitable for news media and multilingual content publishing.
Achieved BLEU scores of 26.1 and 28.2 on the newstest2012 and newstest2013 test sets, respectively.
Daily Conversation Translation
Used for translating daily conversations or simple texts, applicable in chat applications or language learning tools.
Achieved a BLEU score of 49.4 on the Tatoeba test set.
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