Opus-MT Arabic to Russian Open-Source Machine Translation Model - Free Translation from Multiple Variants of Arabic to Russian

Opus Mt Ar Ru

Developed by Helsinki-NLP

This is a machine translation model based on the Transformer architecture for translating from Arabic to Russian, supporting multiple Arabic variants.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multiple Arabic Variants Support #High BLEU Score Translation #SentencePiece Tokenization

Downloads 681

Release Time : 3/2/2022

Model Overview

This model is used for translating Arabic (including multiple variants) into Russian, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Multiple Arabic Variants Support

Supports translation for various Arabic variants including apc, ara, arz, etc.

Standardized Preprocessing

Employs standardized preprocessing pipeline to enhance translation quality.

SentencePiece Tokenization

Uses spm32k SentencePiece tokenization technology to optimize text processing.

Model Capabilities

Arabic to Russian text translation

Supports multiple Arabic variants

Use Cases

Language Translation

Arabic Content Translation

Translate Arabic content into Russian for cross-language communication.

BLEU score 42.5, chr-F score 0.605

🚀 ara-rus Translation Model

This is a translation model for converting Arabic to Russian, offering high - quality translation services.

🚀 Quick Start

This model is designed to translate Arabic to Russian. You can download the original weights and test set translations from the provided links to start using it.

✨ Features

Language Support: Supports multiple Arabic variants (apc, ara, arz) as source languages and Russian as the target language.
Model Type: Utilizes the Transformer model architecture.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for pre - processing.

📦 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

Source Group: Arabic
Target Group: Russian
OPUS Readme: ara - rus
Model: Transformer
Source Language(s): apc, ara, arz
Target Language(s): rus
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.rus	42.5	0.605

System Info

Property	Details
hf_name	ara - rus
source_languages	ara
target_languages	rus
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-rus/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['ar', 'ru']
src_constituents	{'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
tgt_constituents	{'rus'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.test.txt
src_alpha3	ara
tgt_alpha3	rus
short_pair	ar - ru
chrF2_score	0.605
bleu	42.5
brevity_penalty	0.97
ref_len	21830.0
src_name	Arabic
tgt_name	Russian
train_date	2020 - 07 - 03
src_alpha2	ar
tgt_alpha2	ru
prefer_old	False
long_pair	ara - rus
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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