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Opus Mt En Ro

Developed by Helsinki-NLP
OPUS-MT machine translation model from English to Romanian, based on Transformer architecture, trained using the OPUS dataset.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#English-Romanian Translation#Transformer-based#Multi-domain Applicability
Downloads 3,066
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating English text into Romanian. It was developed by the NLP team at the University of Helsinki as part of the OPUS-MT project.

Model Features

Transformer-based Architecture
Utilizes the advanced Transformer architecture to effectively capture long-range dependencies and improve translation quality.
SentencePiece Preprocessing
Employs SentencePiece for text normalization and tokenization, enhancing the model's vocabulary handling capability.
Multi-dataset Evaluation
Evaluated on multiple test sets, including standard datasets such as newsdev2016 and newstest2016.

Model Capabilities

English to Romanian text translation
Supports long sentence translation
Handles general domain text

Use Cases

Text Translation
News Translation
Translating English news articles into Romanian
Achieved a BLEU score of 30.8 on the newsdev2016 test set
Daily Communication Translation
Translating everyday conversations and simple texts
Achieved a BLEU score of 45.3 on the Tatoeba test set
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