Opus-mt-he-ar Open-Source Machine Translation Model - Achieve Accurate Free Translation from Hebrew to Arabic

Opus Mt He Ar

Developed by Helsinki-NLP

This is a Hebrew-to-Arabic machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Bilingual Hebrew-Arabic Translation #Standardized Preprocessing #SentencePiece Tokenization

Downloads 763

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Hebrew text into Arabic, supporting various Arabic dialect variants.

Model Features

Multi-Dialect Support

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

Standardized Preprocessing

Utilizes standardized and SentencePiece (spm32k) preprocessing techniques to enhance translation quality.

Language Identifiers

Supports specifying target dialects by adding language identifiers in a specific format (>>id<<).

Model Capabilities

Text Translation

Cross-Language Conversion

Multi-Dialect Processing

Use Cases

Language Services

Document Translation

Translate Hebrew documents into Arabic

BLEU 23.6, chr-F 0.532

Multilingual Applications

Use in applications requiring Hebrew-Arabic conversion

Education

Language Learning Assistance

Assist students learning Hebrew or Arabic with translation exercises

🚀 heb-ara Translation Model

This project focuses on Hebrew to Arabic translation, offering a transformer-based model with pre - processing and evaluation results.

🚀 Quick Start

The heb-ara model is designed for Hebrew to Arabic translation. You can download the original weights and test set translations from the provided links.

Download Links

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

Pre - processing

A sentence initial language token is required in the form of >>id<< (id = valid target language ID). The pre - processing includes normalization + SentencePiece (spm32k,spm32k).

✨ Features

Language Pair: Translates from Hebrew to multiple Arabic variants including apc, apc_Latn, ara, arq, arz.
Model Type: Uses a transformer model.
Pre - processing: Applies normalization and SentencePiece for better performance.

📚 Documentation

Model Details

Property	Details
Model Type	Transformer
Source Languages	heb
Target Languages	apc, apc_Latn, ara, arq, arz
Pre - processing	normalization + SentencePiece (spm32k,spm32k)
OPUS Readme	heb-ara

Benchmarks

testset	BLEU	chr - F
Tatoeba - test.heb.ara	23.6	0.532

System Info

Property	Details
hf_name	heb - ara
source_languages	heb
target_languages	ara
opus_readme_url	heb-ara README
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['he', 'ar']
src_constituents	{'heb'}
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	opus-2020-07-03.zip
url_test_set	opus-2020-07-03.test.txt
src_alpha3	heb
tgt_alpha3	ara
short_pair	he - ar
chrF2_score	0.532
bleu	23.6
brevity_penalty	0.9259999999999999
ref_len	6372.0
src_name	Hebrew
tgt_name	Arabic
train_date	2020 - 07 - 03
src_alpha2	he
tgt_alpha2	ar
prefer_old	False
long_pair	heb - 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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