Opus-mt-pl-uk Open Source Machine Translation Model - Achieve Free Polish to Ukrainian Translation

Opus Mt Pl Uk

Developed by Helsinki-NLP

This is a machine translation model from Polish to Ukrainian based on the Transformer architecture, developed by the Helsinki-NLP team as part of the Tatoeba Challenge project.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Slavic language translation #Transformer architecture #SentencePiece preprocessing

Downloads 244

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Polish text into Ukrainian, utilizing the transformer-align architecture with standardized and SentencePiece preprocessing.

Model Features

High-quality translation

Achieved a BLEU score of 47.1 and a chr-F score of 0.665 on the Tatoeba test set, indicating high translation quality.

Standardized preprocessing

Uses standardized and SentencePiece (spm32k) preprocessing methods, enhancing the model's generalization capability.

Dedicated language pair support

Focused on the Polish to Ukrainian translation task, optimized specifically for this language pair.

Model Capabilities

Polish to Ukrainian text translation

Handles standardized text input

Generates fluent Ukrainian output

Use Cases

Language services

Document translation

Translate Polish documents into Ukrainian

Generates fluent Ukrainian text while preserving the original semantics

Cross-language communication

Assists Polish and Ukrainian speakers in communication

Provides fast and accurate language conversion

Education

Language learning aid

Provides translation references for students learning Polish or Ukrainian

Helps understand the correspondence between the two languages

🚀 Pol-Ukr Translation Model

This project focuses on the Polish - Ukrainian translation task. It provides a specific model and related evaluation data to facilitate Polish - Ukrainian translation work.

✨ Features

Supports Polish - Ukrainian translation.
Uses the transformer-align model.
Applies pre - processing methods of normalization and SentencePiece (spm32k, spm32k).

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

📚 Documentation

General Information

Property	Details
Source Group	Polish
Target Group	Ukrainian
OPUS Readme	pol-ukr
Model	transformer-align
Source Language(s)	pol
Target Language(s)	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.pol.ukr	47.1	0.665

System Info

Property	Details
hf_name	pol-ukr
source_languages	pol
target_languages	ukr
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ukr/README.md
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['pl', 'uk']
src_constituents	{'pol'}
tgt_constituents	{'ukr'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k,spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.test.txt
src_alpha3	pol
tgt_alpha3	ukr
short_pair	pl-uk
chrF2_score	0.665
bleu	47.1
brevity_penalty	0.992
ref_len	13434.0
src_name	Polish
tgt_name	Ukrainian
train_date	2020-06-17
src_alpha2	pl
tgt_alpha2	uk
prefer_old	False
long_pair	pol-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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