Open-source opus-mt-eo-pt Model - Free and Accurate Machine Translation from Esperanto to Portuguese

Opus Mt Eo Pt

Developed by Helsinki-NLP

This is a machine translation model from Esperanto to Portuguese based on the transformer-align architecture, released by Helsinki-NLP.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Esperanto-Portuguese translation #Transformer-based #Multilingual translation

Downloads 17

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Esperanto to Portuguese, utilizing the transformer-align architecture, and is suitable for text translation tasks.

Model Features

Multilingual support

Supports translation from Esperanto to Portuguese.

High performance

Achieves a BLEU score of 20.2 and chr-F score of 0.438 on the Tatoeba-test dataset.

Standardized preprocessing

Uses standardization and SentencePiece (spm4k) for text preprocessing.

Model Capabilities

Text translation

Multilingual support

Use Cases

Language learning

Esperanto learning aid

Helps Esperanto learners quickly translate text into Portuguese.

Provides accurate translation results to assist in language learning.

Content localization

Document translation

Translates Esperanto documents into Portuguese for localized content.

Efficiently completes document translation tasks.

🚀 epo-por Translation Model

This project focuses on the translation between Esperanto and Portuguese. It provides a specific model and related evaluation data for this language pair.

✨ Features

Supports translation from Esperanto to Portuguese.
Uses the transformer-align model.
Applies pre - processing techniques of normalization and SentencePiece.

📦 Installation

No 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

General Information

Source Group: Esperanto
Target Group: Portuguese
OPUS Readme: epo-por

Model Details

Property	Details
Model Type	transformer-align
Source Language(s)	epo
Target Language(s)	por
Pre - processing	normalization + SentencePiece (spm4k,spm4k)
Download Original Weights	opus-2020-06-16.zip
Test Set Translations	opus-2020-06-16.test.txt
Test Set Scores	opus-2020-06-16.eval.txt

Benchmarks

Testset	BLEU	chr-F
Tatoeba-test.epo.por	20.2	0.438

System Info

Property	Details
hf_name	epo-por
source_languages	epo
target_languages	por
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['eo', 'pt']
src_constituents	{'epo'}
tgt_constituents	{'por'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm4k,spm4k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt
src_alpha3	epo
tgt_alpha3	por
short_pair	eo-pt
chrF2_score	0.43799999999999994
bleu	20.2
brevity_penalty	0.895
ref_len	89991.0
src_name	Esperanto
tgt_name	Portuguese
train_date	2020-06-16
src_alpha2	eo
tgt_alpha2	pt
prefer_old	False
long_pair	epo-por
helsinki_git_sha	480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha	2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine	brutasse
port_time	2020-08-21-14:41

🔧 Technical Details

No technical implementation details are provided in the original document, so this section is skipped.

📄 License

The project is licensed under the Apache - 2.0 license.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご