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Opus Mt Da Es

Developed by Helsinki-NLP
A Danish to Spanish neural machine translation model trained on OPUS dataset, using transformer-align architecture
Downloads 27
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Danish to Spanish machine translation tasks, trained on large-scale parallel corpora, suitable for general text translation scenarios

Model Features

Based on OPUS dataset
Trained on high-quality multi-domain parallel corpora, covering a wide range of text types
transformer-align architecture
Uses transformer model with alignment mechanism to improve translation accuracy
Preprocessing optimization
Utilizes text normalization + SentencePiece tokenization technology to enhance model processing efficiency

Model Capabilities

Danish to Spanish text translation
Handles general domain texts
Supports long sentence translation

Use Cases

Text translation
Document translation
Translate Danish documents into Spanish
Achieved 53.7 BLEU score on Tatoeba test set
Web content localization
Assist in converting Danish web content into Spanish versions
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