Opus-mt-uk-ru Open Source Machine Translation Model - Free Ukrainian to Russian Translation

Opus Mt Uk Ru

Developed by Helsinki-NLP

This is a Ukrainian to Russian machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team and trained on the Tatoeba dataset.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #High-precision translation #Slavic language mutual translation #Standardized preprocessing

Downloads 1,099

Release Time : 3/2/2022

Model Overview

This model is specifically designed for Ukrainian to Russian text translation tasks, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-precision translation

Achieved 69.2 BLEU score and 0.826 chr-F score on the Tatoeba test set, demonstrating excellent performance.

Standardized preprocessing

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

Optimized for specific language pair

Specifically optimized and trained for the Ukrainian to Russian language pair.

Model Capabilities

Ukrainian to Russian text translation

Handles standardized text

Supports SentencePiece tokenization

Use Cases

Text translation

Daily conversation translation

Translates daily Ukrainian conversations into Russian

Achieved 69.2 BLEU score on the Tatoeba test set

Document translation

Translates Ukrainian documents into Russian versions

🚀 ukr-rus Translation Model

This project focuses on Ukrainian to Russian translation, offering a reliable solution for language conversion. It provides detailed information about the model, benchmarks, and system details.

🚀 Quick Start

The ukr-rus model is designed for translating Ukrainian text into Russian. You can access the model weights, test set translations, and evaluation scores through the provided links.

✨ Features

Translation: Facilitates translation from Ukrainian to Russian.
Benchmark Results: Presents BLEU and chr - F scores on the Tatoeba test set.

📚 Documentation

Model Information

Property	Details
Source Group	Ukrainian
Target Group	Russian
OPUS Readme	ukr-rus
Model Type	transformer-align
Source Language(s)	ukr
Target Language(s)	rus
Pre - processing	normalization + SentencePiece (spm32k,spm32k)
Download Original Weights	opus-2020-06-17.zip
Test Set Translations	opus-2020-06-17.test.txt
Test Set Scores	opus-2020-06-17.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.ukr.rus	69.2	0.826

System Info

hf_name: ukr-rus
source_languages: ukr
target_languages: rus
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['uk', 'ru']
src_constituents: {'ukr'}
tgt_constituents: {'rus'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt
src_alpha3: ukr
tgt_alpha3: rus
short_pair: uk-ru
chrF2_score: 0.826
bleu: 69.2
brevity_penalty: 0.992
ref_len: 60387.0
src_name: Ukrainian
tgt_name: Russian
train_date: 2020-06-17
src_alpha2: uk
tgt_alpha2: ru
prefer_old: False
long_pair: ukr-rus
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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