Opus-mt-vi-fr Open-source Machine Translation Model - Achieve Fast Vietnamese to French Translation for Free

Opus Mt Vi Fr

Developed by Helsinki-NLP

This is a Vietnamese-to-French machine translation model based on the transformer-align architecture, released by the Tatoeba-Challenge project.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Vietnamese-French Translation #Transformer Architecture #SentencePiece Tokenization

Downloads 171

Release Time : 3/2/2022

Model Overview

This model is specifically designed for Vietnamese-to-French text translation tasks, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Alignment Mechanism

Uses transformer-align architecture to enhance alignment capabilities between source and target languages.

Efficient Tokenization

Employs SentencePiece tokenization (spm32k), supporting a 32k vocabulary size.

Standardized Preprocessing

Input text undergoes standardized processing to improve translation quality.

Model Capabilities

Vietnamese-to-French text translation

Handling Vietnamese Han character variants

Use Cases

Language Services

Document Translation

Translate Vietnamese documents into French

Achieved a 34.2 BLEU score on the Tatoeba test set

Cross-Language Communication

Facilitate communication between Vietnamese and French speakers

🚀 Vietnamese - French Translation Model

This project focuses on the translation from Vietnamese to French. It provides a reliable translation model with specific pre - processing methods and performance benchmarks.

✨ Features

Language Pair: Supports translation from Vietnamese (vie) to French (fra).
Model Type: Utilizes the transformer - align model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for text pre - processing.
Data Availability: Allows users to download original weights, test set translations, and test set scores.

📦 Installation

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

📚 Documentation

vie - fra

Source Group: Vietnamese
Target Group: French
OPUS Readme: vie - fra
Model: transformer - align
Source Language(s): vie
Target Language(s): fra
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.vie.fra	34.2	0.544

System Info

Property	Details
hf_name	vie - fra
source_languages	`vie`
target_languages	`fra`
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-fra/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['vi', 'fr']
src_constituents	{'vie', 'vie_Hani'}
tgt_constituents	{'fra'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.test.txt
src_alpha3	`vie`
tgt_alpha3	`fra`
short_pair	`vi - fr`
chrF2_score	0.544
bleu	34.2
brevity_penalty	0.955
ref_len	11519.0
src_name	Vietnamese
tgt_name	French
train_date	2020 - 06 - 17
src_alpha2	`vi`
tgt_alpha2	`fr`
prefer_old	False
long_pair	`vie - fra`
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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