Opus-mt-gmq-en Open-source Multilingual Translation Model - Free Support for Mutual Translation between North Germanic Languages and English

Opus Mt Gmq En

Developed by Helsinki-NLP

This is a multilingual translation model based on Transformer architecture, supporting translation from various North Germanic languages (including Danish, Norwegian Bokmål, Swedish, etc.) to English.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multilingual translation #Nordic language support #High BLEU score

Downloads 1,625

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating North Germanic languages into English, employing standardized preprocessing and SentencePiece tokenization techniques, suitable for various Nordic language translation tasks.

Model Features

Multilingual support

Supports translation from various North Germanic languages (including Danish, Norwegian Bokmål, Swedish, etc.) to English.

High performance

Achieved high scores of 58.1 BLEU and 0.720 chr-F on the Tatoeba test set.

Standardized preprocessing

Uses standardized preprocessing and SentencePiece tokenization techniques to improve translation quality.

Model Capabilities

Text translation

Multilingual processing

Use Cases

Language translation

Nordic language translation

Translating Nordic languages such as Danish, Norwegian, Swedish into English

Achieved 58.1 BLEU score on the Tatoeba test set

Cross-language communication

Assisting Nordic language speakers in communicating with English speakers

🚀 gmq-eng Translation Model

This project focuses on translating North Germanic languages to English, offering a practical solution for cross - language communication.

🚀 Quick Start

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

✨ Features

Language Support: Supports multiple North Germanic languages including Danish (da), Norwegian Bokmål (nb), Swedish (sv), Icelandic (is), Norwegian Nynorsk (nn), Faroese (fo), and gmq, with English as the target language.
Model Type: Utilizes the Transformer model architecture.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for pre - processing.

📦 Installation

There is no specific installation command provided in the original README. If you want to use this model, you can download the original weights from opus2m - 2020 - 07 - 26.zip.

📚 Documentation

Model Information

Property	Details
Model Type	Transformer
Source Language(s)	dan, fao, isl, nno, nob, nob_Hebr, non_Latn, swe
Target Language(s)	eng
Pre - processing	normalization + SentencePiece (spm32k, spm32k)
Download Original Weights	opus2m - 2020 - 07 - 26.zip
Test Set Translations	opus2m - 2020 - 07 - 26.test.txt
Test Set Scores	opus2m - 2020 - 07 - 26.eval.txt

Benchmarks

Testset	BLEU	chr - F
Tatoeba - test.multi.eng	58.1	0.720

System Info

hf_name: gmq - eng
source_languages: gmq
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md
original_repo: Tatoeba - Challenge
tags: ['translation']
languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']
src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k, spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt
src_alpha3: gmq
tgt_alpha3: eng
short_pair: gmq - en
chrF2_score: 0.72
bleu: 58.1
brevity_penalty: 0.982
ref_len: 72641.0
src_name: North Germanic languages
tgt_name: English
train_date: 2020 - 07 - 26
src_alpha2: gmq
tgt_alpha2: en
prefer_old: False
long_pair: gmq - 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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