opus-mt-tc-en-pl Open-source Translation Model - Achieve Efficient English-to-Polish Translation for Free

Opus Mt Tc En Pl

Developed by gsarti

This is a neural machine translation model for English to Polish based on the Transformer architecture, trained by the Helsinki NLP team using the MarianNMT library.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #High-precision translation #Multilingual support #Tatoeba dataset

Downloads 243

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating English text into Polish, trained on the Tatoeba dataset, and suitable for general text translation tasks.

Model Features

High-quality translation

Achieves a BLEU score of 47.5 and a chr-F score of 0.673 on the Tatoeba test set, demonstrating excellent performance.

Trained on large-scale data

Trained using 59,742,979 English-Polish sentence pairs from the Tatoeba dataset.

Standardized preprocessing

Employs normalization and SentencePiece tokenization (spm32k) for text preprocessing.

Model Capabilities

English to Polish text translation

Handling general domain text

Use Cases

Text translation

Daily conversation translation

Translating English daily conversations into Polish

Performs well on the Tatoeba test set

Content localization

Localizing English content into Polish versions

🚀 OPUS Tatoeba English-Polish

This model is designed for English - Polish translation. However, it's currently not functional. You can refer to the original checkpoint in the Tatoeba repository for a working version.

🚀 Quick Start

Update: The model is currently not functional. Please refer to the original checkpoint in the Tatoeba repository for a working version

This model was obtained by running the script convert_marian_to_pytorch.py with the flag -m eng-pol. The original models were trained by Jörg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group.

📚 Documentation

Model Information

Property	Details
Source Language Name	English
Target Language Name	Polish
OPUS Readme	README.md
Model Type	transformer
Source Language Code	en
Target Language Code	pl
Dataset	opus
Release Date	2021 - 02 - 19
Pre - processing	normalization + SentencePiece (spm32k,spm32k)
Download Original Weights	opus-2021-02-19.zip

Data Information

Training Data

eng - pol: Tatoeba - train (59742979)

Validation Data

eng - pol: Tatoeba - dev, 44146
total - size - shuffled: 44145
devset - selected: top 5000 lines of Tatoeba - dev.src.shuffled!

Test Data

Tatoeba - test.eng - pol: 10000/64925
Test set translations file: test.txt
Test set scores file: eval.txt

Evaluation Scores

BLEU - scores

Test set	score
Tatoeba - test.eng - pol	47.5

chr - F - scores

Test set	score
Tatoeba - test.eng - pol	0.673

System Info

Property	Details
hf_name	eng - pol
source_languages	en
target_languages	pl
opus_readme_url	https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pol/opus-2021-02-19.zip/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['en', 'pl']
src_constituents	['eng']
tgt_constituents	['pol']
src_multilingual	False
tgt_multilingual	False
helsinki_git_sha	70b0a9621f054ef1d8ea81f7d55595d7f64d19ff
transformers_git_sha	7c6cd0ac28f1b760ccb4d6e4761f13185d05d90b
port_machine	databox
port_time	2021 - 10 - 18 - 15:11

📄 License

This model is licensed under the Apache - 2.0 license.

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