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Opus Mt En Hu

Developed by Helsinki-NLP
English to Hungarian neural machine translation model trained on OPUS data, using transformer-align architecture
Downloads 1,949
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model for English to Hungarian, trained on the OPUS multilingual parallel corpus, suitable for general text translation tasks.

Model Features

Based on OPUS corpus
Trained using high-quality multilingual parallel corpus, covering a wide range of domains
transformer-align architecture
Utilizes transformer model with alignment mechanism to improve translation quality
Standardized preprocessing
Employs normalization and SentencePiece tokenization for text processing

Model Capabilities

English to Hungarian text translation
General domain text translation

Use Cases

Text translation
Document translation
Translate English documents into Hungarian
Achieved 40.1 BLEU score on Tatoeba test set
Web content localization
Translate English web content into Hungarian version
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