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Opus Mt De Gaa

Developed by Helsinki-NLP
A German-to-Ga machine translation model provided by the OPUS-MT project, implemented based on the Transformer architecture.
Machine Translation
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#German-Ga translation#Low-resource language#Transformer-based
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is a neural machine translation model based on the Transformer architecture, specifically designed for translating German text into Ga. It is part of the OPUS-MT project, aiming to provide high-quality machine translation solutions for low-resource languages.

Model Features

Alignment mechanism
Uses transformer-align architecture, possibly including word alignment features to improve translation quality.
Low-resource language support
Focuses on translation tasks for Ga, a low-resource language.
Standardized preprocessing
Employs standardization and SentencePiece for text preprocessing.

Model Capabilities

German-to-Ga text translation
Handles standardized text input
Generates Ga translation output

Use Cases

Cross-language communication
Basic document translation
Translates simple German documents into Ga
Achieved a BLEU score of 26.3 on the JW300 test set
Language learning assistance
Language learning reference
Provides translation references for Ga language learners
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