Opus-mt-alv-en Open-source Multilingual Translation Model - Free Translation from Atlantic-Congo Languages to English

Opus Mt Alv En

Developed by Helsinki-NLP

This is a Transformer-based multilingual translation model that supports translation tasks from multiple Atlantic-Congo languages to English.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multi-African language support #Low-resource language translation #Transformer-based

Downloads 25

Release Time : 3/2/2022

Model Overview

The model specializes in translating 19 Atlantic-Congo languages such as Ewe, Fula, and Igbo into English, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Multilingual support

Supports translation from 19 Atlantic-Congo languages to English

Standardized preprocessing

Uses standardization and SentencePiece tokenization to improve translation quality

Performance optimization

Optimized for different language pairs, e.g., Zulu-English translation achieves BLEU 46.1

Model Capabilities

Text translation

Multilingual processing

Low-resource language support

Use Cases

Language services

African language content localization

Translates African local language content into English to facilitate cross-cultural communication

Translation quality varies significantly across language pairs, with Zulu showing the best results (BLEU 46.1)

Educational aid tool

Helps students learning African languages understand English content

🚀 alv-eng Translation Model

This project focuses on translating languages from the Atlantic - Congo group to English. It provides a transformer - based model with specific pre - processing and evaluation results.

🚀 Quick Start

The alv - eng model is designed for translating languages from the Atlantic - Congo group to English. You can download the original weights and test set translations from the provided links.

Model Information

Property	Details
Model Type	Transformer
Source Languages	ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
Target Languages	eng
Pre - processing	normalization + SentencePiece (spm32k,spm32k)
Download 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
OPUS Readme	alv-eng

📊 Benchmarks

Testset	BLEU	chr - F
Tatoeba - test.ewe - eng.ewe.eng	6.3	0.328
Tatoeba - test.ful - eng.ful.eng	0.4	0.108
Tatoeba - test.ibo - eng.ibo.eng	4.5	0.196
Tatoeba - test.kin - eng.kin.eng	30.7	0.511
Tatoeba - test.lin - eng.lin.eng	2.8	0.213
Tatoeba - test.lug - eng.lug.eng	3.4	0.140
Tatoeba - test.multi.eng	20.9	0.376
Tatoeba - test.nya - eng.nya.eng	38.7	0.492
Tatoeba - test.run - eng.run.eng	24.5	0.417
Tatoeba - test.sag - eng.sag.eng	5.5	0.177
Tatoeba - test.sna - eng.sna.eng	26.9	0.412
Tatoeba - test.swa - eng.swa.eng	4.9	0.196
Tatoeba - test.toi - eng.toi.eng	3.9	0.147
Tatoeba - test.tso - eng.tso.eng	76.7	0.957
Tatoeba - test.umb - eng.umb.eng	4.0	0.195
Tatoeba - test.wol - eng.wol.eng	3.7	0.170
Tatoeba - test.xho - eng.xho.eng	38.9	0.556
Tatoeba - test.yor - eng.yor.eng	25.1	0.412
Tatoeba - test.zul - eng.zul.eng	46.1	0.623

🔧 System Info

hf_name: alv - eng
source_languages: alv
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/alv-eng/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv', 'en']
src_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.test.txt
src_alpha3: alv
tgt_alpha3: eng
short_pair: alv - en
chrF2_score: 0.376
bleu: 20.9
brevity_penalty: 1.0
ref_len: 15208.0
src_name: Atlantic - Congo languages
tgt_name: English
train_date: 2020 - 07 - 31
src_alpha2: alv
tgt_alpha2: en
prefer_old: False
long_pair: alv - eng
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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