opus-mt-pl-ar Open-source Machine Translation Model - Freely Translate from Polish to Multiple Arabic Dialects

Opus Mt Pl Ar

Developed by Helsinki-NLP

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

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multidialectal Arabic support #Standardized preprocessing #Low-resource language pair

Downloads 21

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Polish text into Arabic, including Modern Standard Arabic and various dialects (such as Egyptian Arabic). Trained on the Tatoeba corpus, it is suitable for general text translation tasks.

Model Features

Multidialectal support

Supports not only Modern Standard Arabic but also dialectal variants like Egyptian Arabic

Preprocessing optimization

Employs standardization and SentencePiece tokenization (spm32k) for text preprocessing

Language identifiers

Supports specifying target dialects through formatted identifiers (>>id<<)

Model Capabilities

Polish to Arabic text translation

Polish to Egyptian Arabic text translation

Multidialectal Arabic translation

Use Cases

Language services

Travel content translation

Translating Polish travel guides into Arabic versions

Business document translation

Mutual translation of commercial contracts and documents between Poland and Arab countries

Education

Language learning assistance

Helping Polish learners understand Arabic materials

🚀 Pol-ara Translation Model

This is a Polish-to-Arabic translation model, offering efficient and accurate translation services.

🚀 Quick Start

This model is designed for Polish-to-Arabic translation. You can download the original weights and test set translations from the provided links to start using the model.

✨ Features

Language Pair: Translates from Polish to Arabic.
Model Type: Transformer-based model.
Pre - processing: Normalization + SentencePiece (spm32k,spm32k).
Initial Token Requirement: A sentence initial language token in the form of >>id<< (id = valid target language ID) is required.

📦 Installation

There is no specific installation steps provided in the original document.

💻 Usage Examples

There are no code examples provided in the original document.

📚 Documentation

Model Information

Property	Details
Source Group	Polish
Target Group	Arabic
OPUS Readme	pol-ara
Model Type	Transformer
Source Language(s)	pol
Target Language(s)	ara, arz
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.pol.ara	20.4	0.491

System Info

hf_name: pol-ara
source_languages: pol
target_languages: ara
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['pl', 'ar']
src_constituents: {'pol'}
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/pol-ara/opus-2020-07-03.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt
src_alpha3: pol
tgt_alpha3: ara
short_pair: pl-ar
chrF2_score: 0.491
bleu: 20.4
brevity_penalty: 0.9590000000000001
ref_len: 1028.0
src_name: Polish
tgt_name: Arabic
train_date: 2020-07-03
src_alpha2: pl
tgt_alpha2: ar
prefer_old: False
long_pair: pol-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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