Opus-mt-zh-nl Open-source Machine Translation Model - Achieve Accurate Chinese-to-Dutch Translation for Free

Opus Mt Zh Nl

Developed by Helsinki-NLP

This is a Chinese-to-Dutch machine translation model based on the transformer-align architecture, released by the Tatoeba-Challenge project.

Machine Translation

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Multi-dialect Chinese support #Standardized preprocessing #SentencePiece tokenization

Downloads 24

Release Time : 3/2/2022

Model Overview

The model focuses on translation tasks from Chinese (including various dialects and writing forms) to Dutch, utilizing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Multi-dialect Support

Supports translation for various Chinese dialects including Simplified Chinese, Traditional Chinese, Cantonese, and Minnan.

Standardized Preprocessing

Employs standardized preprocessing and SentencePiece tokenization techniques.

Alignment Mechanism

Uses the transformer-align architecture to enhance alignment between source and target languages.

Model Capabilities

Chinese-to-Dutch text translation

Multi-dialect Chinese processing

Use Cases

Language Services

Document Translation

Translate Chinese documents into Dutch

Achieved a BLEU score of 31.5 on the Tatoeba test set

Cross-language Communication

Facilitates communication between Chinese and Dutch speakers

🚀 Chinese - Dutch Translation Model

This project is a Chinese - Dutch translation model, offering high - quality translation services between Chinese and Dutch. It provides detailed information about the model, including its type, pre - processing methods, and performance benchmarks.

✨ Features

Language Pair: Supports translation from Chinese to Dutch.
Model Type: Uses the transformer - align model.
Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for pre - processing.
Data Availability: Allows users to download original weights, test set translations, and test set scores.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

No code examples are provided in the original document.

📚 Documentation

zho - nld

Source Group: Chinese
Target Group: Dutch
OPUS Readme: zho - nld
Model: transformer - align
Source Language(s): cmn, cmn_Bopo, cmn_Hani, cmn_Hira, cmn_Kana, cmn_Latn
Target Language(s): nld
Pre - processing: normalization + SentencePiece (spm32k, spm32k)
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.zho.nld	31.5	0.525

System Info

Property	Details
hf_name	zho - nld
source_languages	zho
target_languages	nld
opus_readme_url	https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-nld/README.md
original_repo	Tatoeba - Challenge
tags	['translation']
languages	['zh', 'nl']
src_constituents	{'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
tgt_constituents	{'nld'}
src_multilingual	False
tgt_multilingual	False
prepro	normalization + SentencePiece (spm32k, spm32k)
url_model	https://object.pouta.csc.fi/Tatoeba-MT-models/zho-nld/opus-2020-06-17.zip
url_test_set	https://object.pouta.csc.fi/Tatoeba-MT-models/zho-nld/opus-2020-06-17.test.txt
src_alpha3	zho
tgt_alpha3	nld
short_pair	zh - nl
chrF2_score	0.525
bleu	31.5
brevity_penalty	0.9309999999999999
ref_len	13575.0
src_name	Chinese
tgt_name	Dutch
train_date	2020 - 06 - 17
src_alpha2	zh
tgt_alpha2	nl
prefer_old	False
long_pair	zho - nld
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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