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Opus Mt Af De

Developed by Helsinki-NLP
A Transformer-based machine translation model for Afrikaans to German, developed by the Helsinki-NLP team.
Downloads 92
Release Time : 3/2/2022

Model Overview

This model is a Transformer-based neural machine translation model specifically designed for translating Afrikaans (af) to German (de). It was trained using the OPUS dataset with normalization and SentencePiece preprocessing techniques.

Model Features

Aligned Transformer Architecture
Uses transformer-align architecture, potentially providing better word alignment capabilities during translation.
Normalized Preprocessing
Employs normalization and SentencePiece techniques for text preprocessing to enhance translation quality.
Trained on OPUS Dataset
Trained on the multilingual parallel corpus OPUS, ensuring high data quality.

Model Capabilities

Afrikaans to German text translation
Cross-language text conversion

Use Cases

Language Services
Document Translation
Automatically translate Afrikaans documents into German
Achieved 48.6 BLEU score on the Tatoeba test set
Content Localization
Assist in localizing Afrikaans content into German
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