O

Opus Mt Hu En

Developed by Helsinki-NLP
A neural machine translation model for Hungarian to English trained on OPUS data, using transformer-align architecture
Downloads 8,076
Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Hungarian text into English, trained on large-scale parallel corpora, suitable for general text translation tasks

Model Features

Trained on OPUS data
Trained using high-quality OPUS multilingual parallel corpora
transformer-align architecture
Utilizes transformer model with alignment mechanism to improve translation quality
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing

Model Capabilities

Hungarian to English text translation
General domain text translation

Use Cases

Text translation
General text translation
Translating general Hungarian text content into English
Achieved 52.9 BLEU score on Tatoeba test set
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase