# opus-mt-ar-de Open-Source Machine Translation Model - Freely Translate Multiple Arabic Dialects into German

Opus Mt Ar De

Developed by Helsinki-NLP

This is an Arabic-to-German machine translation model based on the transformer-align architecture, supporting multiple Arabic dialects.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multi-dialect Arabic Support #High-precision Machine Translation #Standardized Preprocessing

Downloads 349

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Arabic (including various dialects) into German, utilizing the transformer-align architecture and SentencePiece preprocessing.

Model Features

Multi-dialect Support

Supports translation of various Arabic dialects including Gulf Arabic, North Levantine Arabic, and Modern Standard Arabic.

High Performance

Achieves 44.7 BLEU score and 0.629 chr-F score on the Tatoeba test set.

Standardized Preprocessing

Utilizes normalization and SentencePiece (spm32k) preprocessing techniques.

Model Capabilities

Arabic-to-German text translation

Multiple Arabic dialect processing

Use Cases

Language Services

Document Translation

Translate Arabic documents into German

Achieves 44.7 BLEU score on standard test sets

Cross-language Communication

Facilitates communication between Arabic and German speakers

🚀 ara - deu Translation Model

This project focuses on the Arabic - German translation task. It provides a transformer - align model with specific pre - processing steps and offers various evaluation metrics and related data.

✨ Features

Language Pair: Supports translation from Arabic to German.
Model Type: Utilizes the transformer - align model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for data pre - processing.
Data Availability: Offers original weights, test set translations, and test set scores for download.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

No code examples are provided in the original document.

📚 Documentation

Model Information

Property	Details
Source Group	Arabic
Target Group	German
OPUS Readme	ara - deu
Model Type	transformer - align
Source Languages	afb, apc, ara, ara_Latn, arq, arz
Target Language	deu
Pre - processing	normalization + SentencePiece (spm32k, spm32k)
Download Original Weights	opus - 2020 - 07 - 03.zip
Test Set Translations	opus - 2020 - 07 - 03.test.txt
Test Set Scores	opus - 2020 - 07 - 03.eval.txt

Benchmarks

testset	BLEU	chr - F
Tatoeba - test.ara.deu	44.7	0.629

System Info

hf_name: ara - deu
source_languages: ara
target_languages: deu
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-deu/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['ar', 'de']
src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
tgt_constituents: {'deu'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k, spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.test.txt
src_alpha3: ara
tgt_alpha3: deu
short_pair: ar - de
chrF2_score: 0.629
bleu: 44.7
brevity_penalty: 0.986
ref_len: 8371.0
src_name: Arabic
tgt_name: German
train_date: 2020 - 07 - 03
src_alpha2: ar
tgt_alpha2: de
prefer_old: False
long_pair: ara - deu
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020 - 08 - 21 - 14:41

📄 License

This project is licensed under the apache - 2.0 license.

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