Opus-mt-de-uk Open-source German-Ukrainian Translation Model - Freely Achieve German to Ukrainian Translation

Opus Mt De Uk

Developed by Helsinki-NLP

This is a German-to-Ukrainian machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #German-Ukrainian translation #High-precision machine translation #SentencePiece preprocessing

Downloads 196

Release Time : 3/2/2022

Model Overview

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

Model Features

High-quality translation

Achieves a BLEU score of 40.2 on the Tatoeba test set, indicating high translation quality.

Standardized preprocessing

Uses standardization and SentencePiece tokenization techniques to improve translation accuracy.

Language pair optimization

Specifically optimized for German-Ukrainian translation tasks.

Model Capabilities

German-to-Ukrainian text translation

Handles standardized text input

Supports SentencePiece tokenization

Use Cases

Text translation

Document translation

Translate German documents into Ukrainian

Achieves a BLEU score of 40.2 on the Tatoeba test set

Website content localization

Translate German website content into Ukrainian versions

🚀 deu-ukr Translation Model

This is a translation model focusing on German to Ukrainian translation, offering high - quality translation services.

🚀 Quick Start

The deu-ukr model is designed for German to Ukrainian translation. You can download the original weights and test the model using the provided test sets.

✨ Features

Language Pair: Translates from German (deu) to Ukrainian (ukr).
Model Type: transformer-align
Pre - processing: Normalization + 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

Model Details

Property	Details
Model Type	transformer-align
Source Language	German (`deu`)
Target Language	Ukrainian (`ukr`)
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.deu.ukr	40.2	0.612

System Info

hf_name: deu-ukr
source_languages: deu
target_languages: ukr
opus_readme_url: deu-ukr README
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['de', 'uk']
src_constituents: {'deu'}
tgt_constituents: {'ukr'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: opus-2020-06-17.zip
url_test_set: opus-2020-06-17.test.txt
src_alpha3: deu
tgt_alpha3: ukr
short_pair: de-uk
chrF2_score: 0.612
bleu: 40.2
brevity_penalty: 0.9840000000000001
ref_len: 54213.0
src_name: German
tgt_name: Ukrainian
train_date: 2020-06-17
src_alpha2: de
tgt_alpha2: uk
prefer_old: False
long_pair: deu-ukr
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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