Opus-mt-eu-ru Open Source Machine Translation Model - Free and Efficient Translation from Occitan to Russian

Opus Mt Eu Ru

Developed by Helsinki-NLP

This is a transformer-align-based machine translation model from Occitan to Russian, developed by the Helsinki-NLP team.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Basque-Russian Translation #Low-Resource Language Translation #SentencePiece Preprocessing

Downloads 20

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Occitan (Basque) into Russian, utilizing the transformer-align architecture and SentencePiece preprocessing technology.

Model Features

Based on transformer-align Architecture

Utilizes the advanced transformer-align architecture to deliver high-quality translation results.

SentencePiece Preprocessing

Employs SentencePiece for text preprocessing to enhance model processing efficiency.

Multilingual Support

Supports translation tasks from Occitan (Basque) to Russian.

Model Capabilities

Text Translation

Cross-Language Conversion

Use Cases

Language Learning

Basque Learning Assistance

Assists Basque learners in translating texts into Russian to aid language learning.

Provides accurate translation results to enhance learning efficiency.

Multilingual Applications

Multilingual Content Generation

Used to generate Russian content for Basque-speaking users.

Quickly produces high-quality Russian text.

🚀 Eus - Rus Translation Model

This is a translation model that translates from Basque to Russian, offering high - quality translation services.

🚀 Quick Start

This Eus - Rus translation model is designed to translate Basque text into Russian. You can download the original weights and test set translations from the provided links to start using the model.

✨ Features

Language Pair: Translates from Basque (eus) to Russian (rus).
Model Type: Uses the transformer - align model.
Pre - processing: Applies normalization and SentencePiece (spm4k, spm4k) for pre - processing.

📦 Installation

There is no specific installation command provided in the original document. If you want to use this model, you can download the original weights from the following link: opus - 2020 - 06 - 16.zip

📚 Documentation

Language and Model Information

Source Group: Basque
Target Group: Russian
OPUS Readme: eus - rus

Model Details

Property	Details
Model Type	transformer - align
Source Language(s)	eus
Target Language(s)	rus
Pre - processing	normalization + SentencePiece (spm4k, spm4k)
Download Original Weights	opus - 2020 - 06 - 16.zip
Test Set Translations	opus - 2020 - 06 - 16.test.txt
Test Set Scores	opus - 2020 - 06 - 16.eval.txt

Benchmarks

testset	BLEU	chr - F
Tatoeba - test.eus.rus	31.3	0.502

System Info

hf_name: eus - rus
source_languages: eus
target_languages: rus
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['eu', 'ru']
src_constituents: {'eus'}
tgt_constituents: {'rus'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k, spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt
src_alpha3: eus
tgt_alpha3: rus
short_pair: eu - ru
chrF2_score: 0.502
bleu: 31.3
brevity_penalty: 0.9420000000000001
ref_len: 2428.0
src_name: Basque
tgt_name: Russian
train_date: 2020 - 06 - 16
src_alpha2: eu
tgt_alpha2: ru
prefer_old: False
long_pair: eus - 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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