Opus-mt-he-ru Open Source Machine Translation Model - Free and Accurate Hebrew to Russian Translation

Opus Mt He Ru

Developed by Helsinki-NLP

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

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Hebrew-Russian translation #High-precision machine translation #Tatoeba dataset

Downloads 28

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Hebrew text into Russian, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-quality translation

Achieves 40.5 BLEU score and 0.599 chr-F score on the Tatoeba test set

Standardized preprocessing

Uses standardized preprocessing and SentencePiece tokenization to improve translation quality

Language-pair optimization

Specifically optimized for Hebrew-to-Russian translation tasks

Model Capabilities

Hebrew-to-Russian text translation

Handles standardized text input

Supports SentencePiece tokenization

Use Cases

Language services

Document translation

Translate Hebrew documents into Russian

Achieves 40.5 BLEU score on the Tatoeba test set

Cross-language communication

Facilitates communication between Hebrew and Russian speakers

🚀 Hebrew - Russian Translation Model

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

✨ Features

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

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

he - ru

Source Group: Hebrew
Target Group: Russian
OPUS Readme: heb - rus
Model: transformer
Source Language(s): heb
Target Language(s): rus
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

Benchmarks

testset	BLEU	chr - F
Tatoeba - test.heb.rus	40.5	0.599

System Info

Property	Details
hf_name	he - ru
source_languages	heb
target_languages	rus
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-rus/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['he', 'ru']
src_constituents	('Hebrew', {'heb'})
tgt_constituents	('Russian', {'rus'})
src_multilingual	False
tgt_multilingual	False
long_pair	heb - rus
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt
src_alpha3	heb
tgt_alpha3	rus
chrF2_score	0.599
bleu	40.5
brevity_penalty	0.963
ref_len	16583.0
src_name	Hebrew
tgt_name	Russian
train_date	2020 - 10 - 04 00:00:00
src_alpha2	he
tgt_alpha2	ru
prefer_old	False
short_pair	he - ru
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.

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