Opus-mt-uk-de Open-source Machine Translation Model - Free and Precise Translation from Ukrainian to German

Opus Mt Uk De

Developed by Helsinki-NLP

This is a Transformer-based machine translation model from Ukrainian to German, released by the Tatoeba Multilingual Translation Challenge.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Transformer architecture #SentencePiece tokenization #Tatoeba benchmark

Downloads 115

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Ukrainian text into German, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

High-quality translation

Achieves 48.2 BLEU score and 0.661 chr-F score on the Tatoeba test set

Standardized preprocessing

Adopts a preprocessing scheme with standardized processing + SentencePiece tokenization (spm32k)

Specialized alignment model

Transformer-based architecture specifically optimized for alignment translation

Model Capabilities

Ukrainian to German text translation

Processing standardized text input

Generating fluent German translations

Use Cases

Language services

Document translation

Translate Ukrainian documents into German

High-quality translations preserving original semantics

Cross-language communication

Assist communication between Ukrainian and German speakers

Provide fast and accurate translation results

Education

Language learning aid

Help students learning German or Ukrainian understand texts

Provide accurate parallel translations

🚀 Ukrainian - German Translation Model

This project focuses on the translation from Ukrainian to German, offering a reliable solution for language conversion between these two languages.

🚀 Quick Start

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

✨ Features

Language Pair: Translates from Ukrainian to German.
Model Type: Uses the transformer-align model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k).

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

No code examples are provided in the original document.

📚 Documentation

ukr - deu

Source Group: Ukrainian
Target Group: German
OPUS Readme: ukr - deu
Model: transformer-align
Source Language(s): ukr
Target Language(s): deu
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.deu	48.2	0.661

System Info

Property	Details
hf_name	ukr - deu
source_languages	ukr
target_languages	deu
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['uk', 'de']
src_constituents	{'ukr'}
tgt_constituents	{'deu'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.test.txt
src_alpha3	ukr
tgt_alpha3	deu
short_pair	uk - de
chrF2_score	0.6609999999999999
bleu	48.2
brevity_penalty	0.98
ref_len	62298.0
src_name	Ukrainian
tgt_name	German
train_date	2020 - 06 - 17
src_alpha2	uk
tgt_alpha2	de
prefer_old	False
long_pair	ukr - deu
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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