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Opus Mt Fr Hu

Developed by Helsinki-NLP
A Transformer-based French to Hungarian machine translation model developed by the Helsinki-NLP team, trained on the OPUS dataset.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#French-Hungarian Translation#Transformer-based#SentencePiece Tokenization
Downloads 1,197
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating French text into Hungarian. It employs SentencePiece tokenization and was trained on the multilingual OPUS dataset.

Model Features

Transformer-based Alignment Model
Utilizes the transformer-align architecture to better handle alignment relationships between source and target languages.
SentencePiece Tokenization
Employs SentencePiece for subword tokenization, effectively handling out-of-vocabulary and rare words.
Trained on OPUS Dataset
Trained on the high-quality multilingual OPUS dataset, covering various domains and text types.

Model Capabilities

Text translation from French to Hungarian
Handling formal and informal texts
Support for translations across multiple domains

Use Cases

Text Translation
Document Translation
Translating French documents into Hungarian
Achieved a BLEU score of 41.3 on the Tatoeba test set
Web Content Translation
Automatically translating French web content into Hungarian
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