Opus-mt-en-gmq Open-source Machine Translation Model - Free Translation from English to Nordic Languages

Opus Mt En Gmq

Developed by Helsinki-NLP

This is a machine translation model based on the Transformer architecture, supporting translation from English to multiple North Germanic languages, including Danish, Swedish, Norwegian, and more.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #North Germanic languages translation #Multi-target language support #SentencePiece tokenization

Downloads 24

Release Time : 3/2/2022

Model Overview

This model is specifically designed for English to North Germanic language translation tasks, supporting multiple target languages and utilizing standardization and SentencePiece tokenization for preprocessing.

Model Features

Multilingual support

Supports translation from English to multiple North Germanic languages, including Danish, Swedish, Norwegian, and more.

Efficient preprocessing

Utilizes standardization and SentencePiece tokenization for preprocessing, improving translation quality.

High performance

Performs excellently on multiple test sets, with high BLEU and chr-F scores.

Model Capabilities

English to Danish translation

English to Swedish translation

English to Norwegian translation

English to Icelandic translation

English to Faroese translation

Use Cases

Language learning

English learning assistance

Helps North Germanic language speakers learn English or English speakers learn North Germanic languages.

Provides high-quality translation results to assist language learning.

Business applications

Multilingual content generation

Used for generating multilingual versions of business documents, website content, etc.

Quickly generates text content in multiple languages, improving efficiency.

🚀 eng-gmq Translation Model

This project focuses on the translation from English to North Germanic languages. It provides a transformer-based model with specific pre - processing steps and offers detailed evaluation scores.

🚀 Quick Start

The eng - gmq model is designed for translating English to North Germanic languages. You can download the original weights and test set translations from the provided links.

✨ Features

Model Type: Transformer
Pre - processing: Normalization + SentencePiece (spm32k,spm32k)
Language Token Requirement: A sentence initial language token in the form of >>id<< (id = valid target language ID) is required.

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

General Information

Property	Details
Model Type	Transformer
Source Language	English
Target Languages	Danish (dan), Faroese (fao), Icelandic (isl), Norwegian Nynorsk (nno), Norwegian Bokmål (nob, nob_Hebr), Old Norse (non_Latn), Swedish (swe)
Pre - processing	Normalization + SentencePiece (spm32k,spm32k)
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
Tatoeba - test.eng - dan.eng.dan	57.7	0.724
Tatoeba - test.eng - fao.eng.fao	9.2	0.322
Tatoeba - test.eng - isl.eng.isl	23.8	0.506
Tatoeba - test.eng.multi	52.8	0.688
Tatoeba - test.eng - non.eng.non	0.7	0.196
Tatoeba - test.eng - nor.eng.nor	50.3	0.678
Tatoeba - test.eng - swe.eng.swe	57.8	0.717

System Info

hf_name: eng - gmq
source_languages: eng
target_languages: gmq
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
src_constituents: {'eng'}
tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: gmq
short_pair: en - gmq
chrF2_score: 0.688
bleu: 52.8
brevity_penalty: 0.973
ref_len: 71881.0
src_name: English
tgt_name: North Germanic languages
train_date: 2020 - 08 - 01
src_alpha2: en
tgt_alpha2: gmq
prefer_old: False
long_pair: eng - gmq
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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