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Opus Mt Sv Hu

Developed by Helsinki-NLP
A Transformer-based Swedish to Hungarian machine translation model developed by the Helsinki-NLP team.
Downloads 70
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating Swedish to Hungarian. It employs standardized preprocessing and SentencePiece tokenization, trained on the OPUS dataset.

Model Features

Transformer-based architecture
Utilizes the advanced Transformer architecture to deliver high-quality translation results.
Standardized preprocessing
Employs a standardized preprocessing pipeline to ensure input text consistency.
SentencePiece tokenization
Uses SentencePiece tokenization to effectively handle vocabulary features across different languages.

Model Capabilities

Swedish to Hungarian text translation

Use Cases

Language translation
Document translation
Translate Swedish documents into Hungarian
Achieved a BLEU score of 44.6 on the Tatoeba test set
Web content translation
Real-time translation of Swedish web content into Hungarian
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