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Opus Mt En Es

Developed by Helsinki-NLP
A Transformer-based neural machine translation model for English to Spanish, developed by the University of Helsinki NLP team
Downloads 217.77k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for English-to-Spanish text translation tasks, employing standardized preprocessing and SentencePiece tokenization techniques

Model Features

High-quality translation
Achieves 30-39 BLEU scores on multiple news test sets and 54.9 BLEU on the Tatoeba test set
Standardized preprocessing
Utilizes standardized text preprocessing and SentencePiece tokenization (spm32k)
Transformer architecture
Based on the advanced Transformer neural network architecture

Model Capabilities

English-to-Spanish text translation
Processing standardized text input
Generating fluent target language output

Use Cases

News translation
News content translation
Translate English news into Spanish
Achieves 39.0 BLEU on the newstest2012 test set
Daily communication translation
Conversation translation
Translate daily communication phrases
Achieves 54.9 BLEU on the Tatoeba test set
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