Opus-mt-ru-he Open-source Machine Translation Model - Freely Achieve Fast Translation from Russian to Hebrew

Opus Mt Ru He

Developed by Helsinki-NLP

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

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Russian-Hebrew translation #Standardized preprocessing #SentencePiece tokenization

Downloads 13

Release Time : 3/2/2022

Model Overview

This model is specifically designed for Russian-to-Hebrew text translation tasks, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-quality translation

Achieved 36.1 BLEU score and 0.569 chr-F score on the Tatoeba test set

Standardized preprocessing

Utilizes standardization and SentencePiece tokenization for text preprocessing

Open-source license

Uses Apache 2.0 license, allowing for commercial and research use

Model Capabilities

Russian-to-Hebrew text translation

Handles standardized text

Supports SentencePiece tokenization

Use Cases

Language learning

Language learning aid

Assists Russian learners in understanding Hebrew texts

Cross-language communication

Real-time translation

Used for basic communication between Russian and Hebrew speakers

🚀 Russian - Hebrew Translation Model

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

🚀 Quick Start

This model is designed for Russian to Hebrew translation. You can download the original weights and test set translations from the provided links below to start using it.

✨ Features

Language Pair: Translates from Russian to Hebrew.
Model Type: Utilizes a transformer model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k).

📦 Installation

To use this model, you need to download the original weights: opus - 2020 - 10 - 04.zip

📚 Documentation

Model Information

Property	Details
Source Group	Russian
Target Group	Hebrew
OPUS Readme	rus - heb
Model Type	Transformer
Source Language(s)	rus
Target Language(s)	heb
Pre - processing	normalization + SentencePiece (spm32k, spm32k)
Download Original Weights	opus - 2020 - 10 - 04.zip
Test Set Translations	opus - 2020 - 10 - 04.test.txt
Test Set Scores	opus - 2020 - 10 - 04.eval.txt

System Info

hf_name: ru - he
source_languages: rus
target_languages: heb
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['ru', 'he']
src_constituents: ('Russian', {'rus'})
tgt_constituents: ('Hebrew', {'heb'})
src_multilingual: False
tgt_multilingual: False
long_pair: rus - heb
prepro: normalization + SentencePiece (spm32k, spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt
src_alpha3: rus
tgt_alpha3: heb
chrF2_score: 0.569
bleu: 36.1
brevity_penalty: 0.9990000000000001
ref_len: 15028.0
src_name: Russian
tgt_name: Hebrew
train_date: 2020 - 10 - 04 00:00:00
src_alpha2: ru
tgt_alpha2: he
prefer_old: False
short_pair: ru - he
helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
port_machine: LM0 - 400 - 22516.local
port_time: 2020 - 10 - 26 - 16:16

📄 License

This project is licensed under the Apache - 2.0 license.

Benchmarks

testset	BLEU	chr - F
Tatoeba - test.rus.heb	36.1	0.569

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