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Opus Mt Hu De
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Opus Mt Hu De

Developed by Helsinki-NLP
A Transformer-based Hungarian to German machine translation model, trained and released by the Helsinki-NLP team.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Hungarian-German Translation#Transformer-based#OPUS Dataset
Downloads 634
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model trained using the OPUS multilingual parallel corpus, specifically designed for Hungarian to German translation tasks. It employs standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Alignment Mechanism
Uses transformer-align architecture to generate word alignment information between source and target languages.
Standardized Preprocessing
Input text undergoes standardized processing to improve translation consistency.
SentencePiece Tokenization
Employs subword unit tokenization to effectively handle out-of-vocabulary words.

Model Capabilities

Hungarian to German text translation
Semantically consistent translation
Handling domain-specific terminology

Use Cases

Text Translation
Business Document Translation
Translate Hungarian business contracts/reports into German
Achieved a BLEU score of 44.1 on the Tatoeba test set
Web Content Localization
Automatically translate Hungarian web content into German versions
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