Opus-mt-es-ar Open-source Machine Translation Model - Free Implementation of Spanish to Multi-dialect Arabic Translation

Opus Mt Es Ar

Developed by Helsinki-NLP

This is a Transformer-based machine translation model from Spanish to Arabic, supporting multiple Arabic dialects.

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multi-dialect Arabic support #SentencePiece tokenization #Tatoeba benchmark

Downloads 346

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Spanish text into Arabic and its dialects, including North Levantine Arabic and Algerian Arabic.

Model Features

Multi-dialect Support

Supports translation into multiple Arabic dialects, including Standard Arabic and regional dialects

Preprocessing Optimization

Utilizes standardized preprocessing and SentencePiece tokenization (spm32k)

Language Identifier

Requires adding target language identifiers (e.g., >>ara<<) at the beginning of sentences to specify the target dialect

Model Capabilities

Spanish to Arabic translation

Multi-dialect Arabic translation

Text preprocessing

Use Cases

Language Translation

Cross-language Communication

Translate Spanish content into Arabic to facilitate communication between Spanish and Arabic speakers

BLEU score 20.0, chr-F score 0.517

Multi-dialect Translation

Supports translation from Spanish into multiple Arabic dialects

Can handle dialects such as North Levantine Arabic and Algerian Arabic

🚀 spa-ara

This project focuses on Spanish to Arabic translation. It provides a transformer-based model with specific pre - processing steps and offers various evaluation metrics and download links.

✨ Features

Translation Direction: Translates from Spanish to Arabic.
Model Type: Utilizes a transformer model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k).
Language Token Requirement: Requires a sentence initial language token in the form of >>id<< (id = valid target language ID).

📦 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: Spanish
Target Group: Arabic
OPUS Readme: spa-ara
Model: transformer
Source Language(s): spa
Target Language(s): apc apc_Latn ara arq
Pre - processing: normalization + SentencePiece (spm32k,spm32k)
Required Token: A sentence initial language token in the form of >>id<< (id = valid target language ID)
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.spa.ara	20.0	0.517

System Info

Property	Details
hf_name	spa-ara
source_languages	spa
target_languages	ara
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['es', 'ar']
src_constituents	{'spa'}
tgt_constituents	{'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k,spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt
src_alpha3	spa
tgt_alpha3	ara
short_pair	es-ar
chrF2_score	0.517
bleu	20.0
brevity_penalty	0.9390000000000001
ref_len	7547.0
src_name	Spanish
tgt_name	Arabic
train_date	2020-07-03
src_alpha2	es
tgt_alpha2	ar
prefer_old	False
long_pair	spa-ara
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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