Opus-MT-En-Itc Open-Source Multilingual Translation Model - Free Deployment, Translate from English to Multiple Italic Languages

Opus Mt En Itc

Developed by Helsinki-NLP

This is a multilingual translation model based on the Transformer architecture, supporting translation from English to multiple Italic language family languages.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multilingual Translation #Italic Language Family Support #News Domain Optimization

Downloads 45

Release Time : 3/2/2022

Model Overview

This model specializes in translation tasks from English to Italic language family languages, supporting languages such as Italian, French, Spanish, Portuguese, and more.

Model Features

Multilingual Support

Supports translation from English to multiple Italic language family languages, including mainstream and minority languages.

High-Performance Translation

Demonstrates excellent performance on multiple test sets, achieving high BLEU and chr-F scores.

Standardized Preprocessing

Utilizes standardized and SentencePiece preprocessing techniques to enhance translation quality.

Model Capabilities

Text translation from English to Italic language family languages

Multilingual parallel translation

Support for rare language translation

Use Cases

Multilingual Content Creation

Multilingual Website Content Translation

Translate English website content into multiple Italic language family languages to expand audience reach.

Achieved a BLEU score of 38.0 and a chr-F score of 0.588 on the test set.

Academic Research

Linguistic Research

Used to study similarities and differences among Italic language family languages.

🚀 English to Italic Languages Translation Model

This project focuses on translating English to various Italic languages. It provides a transformer - based model with specific pre - processing steps and offers detailed benchmark results.

🚀 Quick Start

The model requires a sentence initial language token in the form of >>id<< (id = valid target language ID). You can download the original weights from opus2m - 2020 - 08 - 01.zip.

✨ Features

Multilingual Support: Supports translation from English to multiple Italic languages including Italian, Spanish, French, Portuguese, etc.
Transformer Model: Utilizes a transformer architecture for translation tasks.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for pre - processing.

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

eng - itc

Source Group: English
Target Group: Italic languages
OPUS Readme: eng - itc
Model: Transformer
Source Language(s): eng
Target Language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn
Pre - processing: normalization + SentencePiece (spm32k, spm32k)
Download Original Weights: opus2m - 2020 - 08 - 01.zip
Test Set Translations: opus2m - 2020 - 08 - 01.test.txt
Test Set Scores: opus2m - 2020 - 08 - 01.eval.txt

Benchmarks

Testset	BLEU	chr - F
newsdev2016 - enro - engron.eng.ron	27.1	0.565
newsdiscussdev2015 - enfr - engfra.eng.fra	29.9	0.574
newsdiscusstest2015 - enfr - engfra.eng.fra	35.3	0.609
newssyscomb2009 - engfra.eng.fra	27.7	0.567
newssyscomb2009 - engita.eng.ita	28.6	0.586
newssyscomb2009 - engspa.eng.spa	29.8	0.569
news - test2008 - engfra.eng.fra	25.0	0.536
news - test2008 - engspa.eng.spa	27.1	0.548
newstest2009 - engfra.eng.fra	26.7	0.557
newstest2009 - engita.eng.ita	28.9	0.583
newstest2009 - engspa.eng.spa	28.9	0.567
newstest2010 - engfra.eng.fra	29.6	0.574
newstest2010 - engspa.eng.spa	33.8	0.598
newstest2011 - engfra.eng.fra	30.9	0.590
newstest2011 - engspa.eng.spa	34.8	0.598
newstest2012 - engfra.eng.fra	29.1	0.574
newstest2012 - engspa.eng.spa	34.9	0.600
newstest2013 - engfra.eng.fra	30.1	0.567
newstest2013 - engspa.eng.spa	31.8	0.576
newstest2016 - enro - engron.eng.ron	25.9	0.548
Tatoeba - test.eng - arg.eng.arg	1.6	0.120
Tatoeba - test.eng - ast.eng.ast	17.2	0.389
Tatoeba - test.eng - cat.eng.cat	47.6	0.668
Tatoeba - test.eng - cos.eng.cos	4.3	0.287
Tatoeba - test.eng - egl.eng.egl	0.9	0.101
Tatoeba - test.eng - ext.eng.ext	8.7	0.287
Tatoeba - test.eng - fra.eng.fra	44.9	0.635
Tatoeba - test.eng - frm.eng.frm	1.0	0.225
Tatoeba - test.eng - gcf.eng.gcf	0.7	0.115
Tatoeba - test.eng - glg.eng.glg	44.9	0.648
Tatoeba - test.eng - hat.eng.hat	30.9	0.533
Tatoeba - test.eng - ita.eng.ita	45.4	0.673
Tatoeba - test.eng - lad.eng.lad	5.6	0.279
Tatoeba - test.eng - lat.eng.lat	12.1	0.380
Tatoeba - test.eng - lij.eng.lij	1.4	0.183
Tatoeba - test.eng - lld.eng.lld	0.5	0.199
Tatoeba - test.eng - lmo.eng.lmo	0.7	0.187
Tatoeba - test.eng - mfe.eng.mfe	83.6	0.909
Tatoeba - test.eng - msa.eng.msa	31.3	0.549
Tatoeba - test.eng.multi	38.0	0.588
Tatoeba - test.eng - mwl.eng.mwl	2.7	0.322
Tatoeba - test.eng - oci.eng.oci	8.2	0.293
Tatoeba - test.eng - pap.eng.pap	46.7	0.663
Tatoeba - test.eng - pms.eng.pms	2.1	0.194
Tatoeba - test.eng - por.eng.por	41.2	0.635
Tatoeba - test.eng - roh.eng.roh	2.6	0.237
Tatoeba - test.eng - ron.eng.ron	40.6	0.632
Tatoeba - test.eng - scn.eng.scn	1.6	0.181
Tatoeba - test.eng - spa.eng.spa	49.5	0.685
Tatoeba - test.eng - vec.eng.vec	1.6	0.223
Tatoeba - test.eng - wln.eng.wln	7.1	0.250

System Info

Property	Details
hf_name	eng - itc
source_languages	eng
target_languages	itc
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']
src_constituents	{'eng'}
tgt_constituents	{'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
src_multilingual	False
tgt_multilingual	True
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt
src_alpha3	eng
tgt_alpha3	itc
short_pair	en - itc
chrF2_score	0.588
bleu	38.0
brevity_penalty	0.9670000000000001
ref_len	73951.0
src_name	English
tgt_name	Italic languages
train_date	2020 - 08 - 01
src_alpha2	en
tgt_alpha2	itc
prefer_old	False
long_pair	eng - itc
helsinki_git_sha	480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha	2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine	brutasse
port_time	2020 - 08 - 21 - 14:41

📄 License

The project is licensed under the Apache - 2.0 license.

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