🚀 jpn-vie
This project focuses on the translation from Japanese to Vietnamese. It provides a specific model and related data for this language - pair translation task.
✨ Features
- Language Pair: The model is designed for the Japanese - Vietnamese language pair.
- Model Type: It uses the
transformer - align
model.
- Pre - processing: The pre - processing involves normalization and SentencePiece (spm32k, spm32k).
📦 Installation
No installation steps are provided in the original document, so this section is skipped.
💻 Usage Examples
No code examples are provided in the original document, so this section is skipped.
📚 Documentation
Model Information
- Source Group: Japanese
- Target Group: Vietnamese
- OPUS Readme: [jpn - vie](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/jpn - vie/README.md)
- Model:
transformer - align
- Source Languages: jpn, jpn_Bopo, jpn_Hang, jpn_Hani, jpn_Hira, jpn_Kana, jpn_Latn, jpn_Yiii
- Target Languages: vie
- Pre - processing: normalization + SentencePiece (spm32k, spm32k)
- Download Original Weights: [opus - 2020 - 06 - 17.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/jpn - vie/opus - 2020 - 06 - 17.zip)
- Test Set Translations: [opus - 2020 - 06 - 17.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/jpn - vie/opus - 2020 - 06 - 17.test.txt)
- Test Set Scores: [opus - 2020 - 06 - 17.eval.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/jpn - vie/opus - 2020 - 06 - 17.eval.txt)
Benchmarks
testset |
BLEU |
chr - F |
Tatoeba - test.jpn.vie |
20.3 |
0.380 |
System Info
Property |
Details |
hf_name |
jpn - vie |
source_languages |
jpn |
target_languages |
vie |
opus_readme_url |
https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/jpn - vie/README.md |
original_repo |
Tatoeba - Challenge |
tags |
['translation'] |
languages |
['ja', 'vi'] |
src_constituents |
{'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} |
tgt_constituents |
{'vie', 'vie_Hani'} |
src_multilingual |
False |
tgt_multilingual |
False |
prepro |
normalization + SentencePiece (spm32k, spm32k) |
url_model |
https://object.pouta.csc.fi/Tatoeba - MT - models/jpn - vie/opus - 2020 - 06 - 17.zip |
url_test_set |
https://object.pouta.csc.fi/Tatoeba - MT - models/jpn - vie/opus - 2020 - 06 - 17.test.txt |
src_alpha3 |
jpn |
tgt_alpha3 |
vie |
short_pair |
ja - vi |
chrF2_score |
0.38 |
bleu |
20.3 |
brevity_penalty |
0.909 |
ref_len |
10779.0 |
src_name |
Japanese |
tgt_name |
Vietnamese |
train_date |
2020 - 06 - 17 |
src_alpha2 |
ja |
tgt_alpha2 |
vi |
prefer_old |
False |
long_pair |
jpn - vie |
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.