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Opus Mt Tc Big En Es

Developed by Helsinki-NLP
English-to-Spanish neural machine translation model provided by the OPUS-MT project, based on transformer-big architecture
Downloads 29.31k
Release Time : 4/13/2022

Model Overview

This model is part of the OPUS-MT project, specifically designed for neural machine translation from English (en) to Spanish (es). The model was trained using the Marian NMT framework and converted to PyTorch format via the transformers library.

Model Features

High-quality translation
Excellent performance on multiple test sets, with BLEU scores ranging from 28.5 to 57.2
Multi-domain applicability
Good performance across various text types including news and daily conversations
Open-source license
Uses cc-by-4.0 license, allowing commercial and research use

Model Capabilities

English-to-Spanish text translation
Multi-domain text processing
Batch translation

Use Cases

Content localization
News translation
Translating English news content into Spanish
BLEU score of 30.1 on the news-test2008 test set
Daily conversation translation
Translating daily conversations and simple sentences
BLEU score of 57.2 on the tatoeba-test-v2021-08-07 test set
Education
Language learning assistance
Providing translation references for language learners
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