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Opus Mt Tc Big En Ro

Developed by Helsinki-NLP
This is a large-scale neural machine translation model based on the Transformer architecture, specifically designed for translating English to Romanian.
Downloads 70
Release Time : 4/13/2022

Model Overview

This model is part of the OPUS-MT project, aiming to provide high-quality neural machine translation services for multiple languages. It is trained using the Marian NMT framework and converted to PyTorch format via the transformers library.

Model Features

High-Quality Translation
Performs excellently on multiple test sets, achieving BLEU scores of 34.0-48.6.
Multi-domain Adaptation
Performs well on various text types, including news and daily conversations.
Open-Source License
Uses the cc-by-4.0 license, allowing for commercial and research use.

Model Capabilities

English to Romanian text translation
Handles multiple text types (news, conversations, etc.)

Use Cases

Content Localization
News Translation
Translating English news articles into Romanian
Achieved a BLEU score of 34.0 on the newstest2016 test set
Daily Conversation Translation
Translating daily conversations between English and Romanian
Achieved a BLEU score of 48.6 on the tatoeba test set
Educational Applications
Language Learning Aid
Helping learners understand the correspondence between English and Romanian
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