open source OPUS-MT-RU-NO Machine Translation Model - Free translation between Russian and two variants of Norwegian

Opus Mt Ru No

Developed by Helsinki-NLP

This is a Russian-to-Norwegian machine translation model based on the transformer-align architecture, supporting both Bokmål (nob) and Nynorsk (nno) variants of Norwegian.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Russian-Norwegian Translation #Multi-dialect Support #SentencePiece Preprocessing

Downloads 20

Release Time : 3/2/2022

Model Overview

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

Model Features

Multi-dialect Support

Supports both official written forms of Norwegian: Bokmål (nob) and Nynorsk (nno)

Standardized Preprocessing

Employs standardized preprocessing and SentencePiece tokenization (spm4k) to enhance translation quality

Language Identifier

Uses target language identifiers (>>id<<) to specify the dialect type for translation output

Model Capabilities

Russian-to-Norwegian text translation

Supports two Norwegian dialect outputs

Processes standardized text input

Use Cases

Language Services

Document Translation

Translate Russian documents into Norwegian official documents

Achieves 20.3 BLEU score

Multilingual Content Generation

Generate localized versions of Russian content for Norwegian users

🚀 rus-nor Translation Model

This is a translation model focusing on converting Russian to Norwegian, offering high - quality translation services with specific pre - processing and performance benchmarks.

🚀 Quick Start

The rus - nor model is designed for translating Russian text into Norwegian. You can download the original weights and test set translations through the provided links to start using the model.

✨ Features

Language Pair: Specifically designed for the Russian - Norwegian language pair.
Pre - processing: Utilizes normalization and SentencePiece (spm4k, spm4k) for pre - processing.
Language Token Requirement: Requires a sentence initial language token in the form of >>id<< (id = valid target language ID).

📦 Installation

There is no specific installation steps provided in the original document.

💻 Usage Examples

There is no code example provided in the original document.

📚 Documentation

Model Details

Source Group: Russian
Target Group: Norwegian
OPUS Readme: rus - nor
Model: transformer - align
Source Language(s): rus
Target Language(s): nno, nob
Pre - processing: normalization + SentencePiece (spm4k, spm4k)
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.rus.nor	20.3	0.418

System Info

Property	Details
hf_name	rus - nor
source_languages	rus
target_languages	nor
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['ru', 'no']
src_constituents	{'rus'}
tgt_constituents	{'nob', 'nno'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm4k, spm4k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt
src_alpha3	rus
tgt_alpha3	nor
short_pair	ru - no
chrF2_score	0.418
bleu	20.3
brevity_penalty	0.946
ref_len	11686.0
src_name	Russian
tgt_name	Norwegian
train_date	2020 - 06 - 17
src_alpha2	ru
tgt_alpha2	no
prefer_old	False
long_pair	rus - nor
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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