opus-mt-bg-de Open-source Machine Translation Model - Achieve Accurate Bulgarian to German Translation for Free

Opus Mt Bg De

Developed by Helsinki-NLP

This is a Bulgarian to German machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team and trained using the Tatoeba dataset.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #High-precision translation #Multilingual support #SentencePiece preprocessing

Downloads 84

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Bulgarian text into German, suitable for text translation tasks.

Model Features

High-precision translation

Achieved 49.3 BLEU score and 0.676 chr-F score on the Tatoeba test set.

Standardized preprocessing

Utilizes normalization and SentencePiece (spm32k) preprocessing techniques to improve translation quality.

Multi-format support

Supports both Bulgarian Latin script (bul_Latn) and Cyrillic script (bul) input formats.

Model Capabilities

Bulgarian to German text translation

Handling normalized text

Processing SentencePiece tokenized text

Use Cases

Text translation

Daily conversation translation

Translate everyday Bulgarian conversations into German

Performs well on the Tatoeba test set

Simple document translation

Translate simple Bulgarian documents into German

🚀 bul-deu Translation Model

This is a Bulgarian to German translation model. It provides a solution for translating Bulgarian text into German, which is useful for cross - language communication and information exchange.

🚀 Quick Start

This model is designed for Bulgarian to German translation. You can download the original weights and test set translations through the provided links for evaluation and use.

✨ Features

Language Pair: It supports translation from Bulgarian (bul) to German (deu).
Model Type: Based on the Transformer architecture.
Pre - processing: Uses normalization and SentencePiece (spm32k, spm32k).

📦 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 Information

Property	Details
Model Type	Transformer
Source Language	Bulgarian (`bul`)
Target Language	German (`deu`)
Pre - processing	Normalization + SentencePiece (spm32k, spm32k)
Download Original Weights	opus - 2020 - 07 - 03.zip
Test Set Translations	opus - 2020 - 07 - 03.test.txt
Test Set Scores	opus - 2020 - 07 - 03.eval.txt

Benchmarks

Testset	BLEU	chr - F
Tatoeba - test.bul.deu	49.3	0.676

System Info

hf_name: bul - deu
source_languages: bul
target_languages: deu
opus_readme_url: https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/bul - deu/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['bg', 'de']
src_constituents: {'bul', 'bul_Latn'}
tgt_constituents: {'deu'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k, spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba - MT - models/bul - deu/opus - 2020 - 07 - 03.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba - MT - models/bul - deu/opus - 2020 - 07 - 03.test.txt
src_alpha3: bul
tgt_alpha3: deu
short_pair: bg - de
chrF2_score: 0.6759999999999999
bleu: 49.3
brevity_penalty: 1.0
ref_len: 2218.0
src_name: Bulgarian
tgt_name: German
train_date: 2020 - 07 - 03
src_alpha2: bg
tgt_alpha2: de
prefer_old: False
long_pair: bul - 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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