Opus-mt-cus-en Open-source Machine Translation Model - Achieve Precise Somali-to-English Translation for Free

Opus Mt Cus En

Developed by Helsinki-NLP

This is a machine translation model based on the Transformer architecture, specifically designed for translation tasks from Cushitic languages (particularly Somali) to English.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Somali translation #Low-resource language processing #Transformer architecture

Downloads 46

Release Time : 3/2/2022

Model Overview

This model is part of the Tatoeba Challenge project, focusing on translation tasks from Cushitic languages (represented by Somali) to English, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Multilingual support

Supports translation from Somali to English within the Cushitic language family

Standardized preprocessing

Utilizes standardized preprocessing and SentencePiece tokenization techniques (spm12k)

Public evaluation results

Provides complete test set translation results and scoring data

Model Capabilities

Text translation

Cross-language conversion

Language pair processing

Use Cases

Language services

Basic text translation

Translate Somali content into English

BLEU score 16.2, chr-F score 0.303

Education

Language learning assistance

Help English learners understand Somali content

🚀 Cus-Eng Translation Model

This project focuses on the translation between Cushitic languages and English, providing a reliable translation solution.

🚀 Quick Start

This model is designed for translating from Cushitic languages to English. You can download the original weights and test set translations from the provided links below.

✨ Features

Language Pair: Translates from Cushitic languages (specifically Somali in this case) to English.
Model Type: Transformer-based model, which is well - known for its performance in natural language processing tasks.
Pre - processing: Utilizes normalization and SentencePiece (spm12k, spm12k) for better text handling.

📦 Installation

There is no specific installation steps provided in the original README. However, you can download the original weights of the model from the following link: opus-2020-07-26.zip

📚 Documentation

General Information

Source Group: Cushitic languages
Target Group: English
OPUS Readme: cus-eng

Model Details

Property	Details
Model Type	Transformer
Source Language(s)	som
Target Language(s)	eng
Pre - processing	normalization + SentencePiece (spm12k, spm12k)
Download Original Weights	opus-2020-07-26.zip
Test Set Translations	opus-2020-07-26.test.txt
Test Set Scores	opus-2020-07-26.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.multi.eng	16.2	0.303
Tatoeba-test.som-eng.som.eng	16.2	0.303

System Info

hf_name: cus-eng
source_languages: cus
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['so', 'cus', 'en']
src_constituents: {'som'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm12k, spm12k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt
src_alpha3: cus
tgt_alpha3: eng
short_pair: cus-en
chrF2_score: 0.303
bleu: 16.2
brevity_penalty: 1.0
ref_len: 3.0
src_name: Cushitic languages
tgt_name: English
train_date: 2020-07-26
src_alpha2: cus
tgt_alpha2: en
prefer_old: False
long_pair: cus-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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