Opus-mt-cpf-en Open-Source Multilingual Translation Model - Freely Translate Three Creole Languages into English

Opus Mt Cpf En

Developed by Helsinki-NLP

This is a multilingual translation model based on the Transformer architecture, supporting translations from Guadeloupean Creole, Haitian Creole, and Mauritian Creole to English.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multilingual Creole Support #Low-Resource Language Translation #Transformer Architecture

Downloads 19

Release Time : 3/2/2022

Model Overview

This model specializes in translation tasks from French Creole and Pidgin languages to English, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Multilingual Support

Supports English translation for three French Creole languages

Standardized Preprocessing

Utilizes standardized preprocessing and SentencePiece tokenization

Performance Optimization

Optimized for different Creole variants, with particularly outstanding results for Mauritian Creole translation

Model Capabilities

Text Translation

Multilingual Processing

Creole Language Recognition

Use Cases

Language Translation

Haitian Creole Translation

Translates Haitian Creole content into English

BLEU 28.0, chr-F 0.421

Mauritian Creole Translation

Translates Mauritian Creole content into English

BLEU 66.0, chr-F 0.808

Cross-Cultural Communication

Creole Literature Translation

Assists researchers in understanding French Creole literature content

🚀 cpf-eng Translation Model

This is a translation model designed to translate from French-based Creoles and pidgins to English, offering efficient and accurate translation services.

🚀 Quick Start

This model is a translation tool for converting French-based Creoles and pidgins to English. You can download the original weights and test set translations from the provided links for evaluation and use.

✨ Features

Model Type: Transformer
Pre - processing: Normalization + SentencePiece (spm32k, spm32k)

📦 Installation

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

💻 Usage Examples

No code examples are provided in the original document, so this section is skipped.

📚 Documentation

Model Information

Source Group: Creoles and pidgins, French‑based
Target Group: English
OPUS Readme: cpf-eng

Download Links

Original Weights: opus2m-2020-07-31.zip
Test Set Translations: opus2m-2020-07-31.test.txt
Test Set Scores: opus2m-2020-07-31.eval.txt

Benchmarks

Testset	BLEU	chr-F
Tatoeba-test.gcf-eng.gcf.eng	8.4	0.229
Tatoeba-test.hat-eng.hat.eng	28.0	0.421
Tatoeba-test.mfe-eng.mfe.eng	66.0	0.808
Tatoeba-test.multi.eng	16.3	0.323

System Info

Property	Details
hf_name	cpf-eng
source_languages	cpf
target_languages	eng
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['ht', 'cpf', 'en']
src_constituents	{'gcf_Latn', 'hat', 'mfe'}
tgt_constituents	{'eng'}
src_multilingual	True
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt
src_alpha3	cpf
tgt_alpha3	eng
short_pair	cpf-en
chrF2_score	0.32299999999999995
bleu	16.3
brevity_penalty	1.0
ref_len	990.0
src_name	Creoles and pidgins, French‑based
tgt_name	English
train_date	2020-07-31
src_alpha2	cpf
tgt_alpha2	en
prefer_old	False
long_pair	cpf-eng
helsinki_git_sha	480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha	2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine	brutasse
port_time	2020-08-21-14:41

🔧 Technical Details

No technical details with more than 50 words are provided in the original document, so this section is skipped.

📄 License

This project is licensed under the Apache-2.0 license.

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