Opus Mt Sv Hu
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
Featured Recommended AI Models
Š 2025AIbase