opus-mt-pt-tl Open-source Machine Translation Model - Freely Achieve Bidirectional Translation between Portuguese and Tagalog

Opus Mt Pt Tl

Developed by Helsinki-NLP

This is a Portuguese to Tagalog machine translation model based on transformer-align architecture, developed by the Helsinki-NLP team.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Low-resource language translation #Standardized preprocessing #SentencePiece tokenization

Downloads 32

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Portuguese text into Tagalog, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Transformer-align architecture

Utilizes advanced transformer-align architecture to optimize translation alignment

Standardized preprocessing

Employs standardized preprocessing pipeline to enhance translation quality

SentencePiece tokenization

Uses spm32k SentencePiece tokenization for text processing

Model Capabilities

Portuguese to Tagalog text translation

Processing standardized text input

Generating fluent Tagalog translations

Use Cases

Language services

Document translation

Translate Portuguese documents into Tagalog

Achieved 28.4 BLEU score on Tatoeba test set

Cross-language communication

Facilitate communication between Portuguese and Tagalog speakers

🚀 Por-Tgl Translation Model

This project focuses on the translation between Portuguese and Tagalog, offering a practical solution for language conversion between these two languages.

📦 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

Language Pair Details

Source Group: Portuguese
Target Group: Tagalog
OPUS Readme: por-tgl

Model Information

Model: transformer-align
Source Language(s): por
Target Language(s): tgl_Latn
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.por.tgl	28.4	0.565

System Info

Property	Details
hf_name	por-tgl
source_languages	por
target_languages	tgl
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['pt', 'tl']
src_constituents	{'por'}
tgt_constituents	{'tgl_Latn'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k,spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt
src_alpha3	por
tgt_alpha3	tgl
short_pair	pt-tl
chrF2_score	0.565
bleu	28.4
brevity_penalty	1.0
ref_len	13620.0
src_name	Portuguese
tgt_name	Tagalog
train_date	2020-06-17
src_alpha2	pt
tgt_alpha2	tl
prefer_old	False
long_pair	por-tgl
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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