Opus-mt-no-de Open-Source Machine Translation Model - Free and Accurate Norwegian-German Translation

Opus Mt No De

Developed by Helsinki-NLP

This is a Norwegian (Nynorsk and Bokmål) to German machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multidialectal Norwegian support #SentencePiece preprocessing #Tatoeba benchmark testing

Downloads 312

Release Time : 3/2/2022

Model Overview

This model is specifically designed for Norwegian to German text translation tasks, supporting both Nynorsk (nno) and Bokmål (nob) variants.

Model Features

Multidialect Support

Supports translation for both Nynorsk and Bokmål variants of Norwegian

Standardized Preprocessing

Uses standardized and SentencePiece (spm4k) preprocessing techniques to improve translation quality

Public Benchmark Testing

Achieved BLEU 29.6 and chr-F 0.541 performance on the Tatoeba test set

Model Capabilities

Norwegian to German text translation

Processing Nynorsk input

Processing Bokmål input

Use Cases

Language Services

Document Translation

Translate Norwegian documents into German

Achieved 29.6 BLEU score on the Tatoeba test set

Cross-language Communication

Facilitates basic communication between Norwegian and German speakers

🚀 Norwegian - German Translation Model

This project focuses on the translation from Norwegian to German, leveraging the transformer-align model. It provides detailed information about the model, benchmarks, and system configuration.

🚀 Quick Start

The project offers a Norwegian - German translation solution. You can download the original weights and test set translations through the provided links.

✨ Features

Language Pair: Translates from Norwegian (both nno and nob) to German (deu).
Model Type: Utilizes the transformer-align model.
Pre - processing: Applies normalization and SentencePiece (spm4k, spm4k).

📦 Installation

There is no specific installation steps provided in the original README.

📚 Documentation

Model Information

Property	Details
Model Type	transformer-align
Source Language(s)	nno, nob
Target Language(s)	deu
Pre - processing	normalization + SentencePiece (spm4k, spm4k)
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.nor.deu	29.6	0.541

System Info

Property	Details
hf_name	nor-deu
source_languages	nor
target_languages	deu
opus_readme_url	nor-deu README
original_repo	Tatoeba-Challenge
tags	['translation']
languages	['no', 'de']
src_constituents	{'nob', 'nno'}
tgt_constituents	{'deu'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm4k, spm4k)
url_model	opus-2020-06-17.zip
url_test_set	opus-2020-06-17.test.txt
src_alpha3	nor
tgt_alpha3	deu
short_pair	no-de
chrF2_score	0.541
bleu	29.6
brevity_penalty	0.96
ref_len	34575.0
src_name	Norwegian
tgt_name	German
train_date	2020-06-17
src_alpha2	no
tgt_alpha2	de
prefer_old	False
long_pair	nor-deu
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.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご