Opus-mt-cs-eo Open-source Machine Translation Model - Supports Fast Translation from Czech to Esperanto

Opus Mt Cs Eo

Developed by Helsinki-NLP

This is a Czech to Esperanto machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team and released under the Tatoeba-Challenge project.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Niche language translation #SentencePiece preprocessing #Tatoeba benchmark

Downloads 20

Release Time : 3/2/2022

Model Overview

This model is specifically designed for bidirectional translation tasks between Czech and Esperanto, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Transformer-based architecture

Utilizes the advanced transformer-align architecture to ensure translation quality

Standardized preprocessing

Employs standardization and SentencePiece (spm4k) for text preprocessing

Bilingual support

Optimized specifically for bidirectional translation between Czech and Esperanto

Model Capabilities

Czech to Esperanto translation

Esperanto to Czech translation

Use Cases

Language learning

Czech language learning aid

Assists Esperanto speakers in learning Czech

Esperanto language learning aid

Assists Czech speakers in learning Esperanto

Content translation

Web content translation

Translates Czech web content into Esperanto

🚀 ces-epo

This is a translation model that translates from Czech to Esperanto.
It offers a convenient way to achieve Czech - Esperanto translation tasks.
For more details, refer to the OPUS readme: ces-epo

🚀 Quick Start

The ces-epo model is designed for Czech to Esperanto translation. You can download the original weights and test set translations from the provided links below to start using the model.

✨ Features

Language Pair: Specialized for translating from Czech to Esperanto.
Model Type: Utilizes the transformer-align model.
Pre - processing: Applies normalization and SentencePiece (spm4k, spm4k) techniques.

📦 Installation

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

💻 Usage Examples

No code examples are provided in the original document.

📚 Documentation

Model Information

Property	Details
Model Type	transformer-align
Source Language	ces (Czech)
Target Language	epo (Esperanto)
Pre - processing	normalization + SentencePiece (spm4k,spm4k)
Download Original Weights	opus-2020-06-16.zip
Test Set Translations	opus-2020-06-16.test.txt
Test Set Scores	opus-2020-06-16.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.ces.epo	26.0	0.459

System Info

hf_name: ces-epo
source_languages: ces
target_languages: epo
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['cs', 'eo']
src_constituents: {'ces'}
tgt_constituents: {'epo'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k,spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt
src_alpha3: ces
tgt_alpha3: epo
short_pair: cs-eo
chrF2_score: 0.45899999999999996
bleu: 26.0
brevity_penalty: 0.94
ref_len: 24901.0
src_name: Czech
tgt_name: Esperanto
train_date: 2020-06-16
src_alpha2: cs
tgt_alpha2: eo
prefer_old: False
long_pair: ces-epo
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41

🔧 Technical Details

No technical details are provided in the original document.

📄 License

This project is licensed under the Apache - 2.0 license.

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