🚀 rus-dan Translation Model
This project offers a translation model for converting Russian to Danish. It provides detailed information about the model, including its type, pre - processing steps, and performance benchmarks.
✨ Features
- Language Pair: Specifically designed for Russian to Danish translation.
- Model Type: Utilizes the
transformer - align
model.
- Pre - processing: Applies normalization and SentencePiece (spm32k, spm32k) for text pre - processing.
📦 Installation
No specific installation steps are provided in the original document.
📚 Documentation
Model Details
- Source Group: Russian
- Target Group: Danish
- OPUS Readme: [rus - dan](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/rus - dan/README.md)
- Model:
transformer - align
- Source Language(s):
rus
- Target Language(s):
dan
- Pre - processing: normalization + SentencePiece (spm32k, spm32k)
- Download Original Weights: [opus - 2020 - 06 - 17.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.zip)
- Test Set Translations: [opus - 2020 - 06 - 17.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.test.txt)
- Test Set Scores: [opus - 2020 - 06 - 17.eval.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.eval.txt)
Benchmarks
testset |
BLEU |
chr - F |
Tatoeba - test.rus.dan |
56.6 |
0.714 |
System Info
Property |
Details |
hf_name |
rus - dan |
source_languages |
rus |
target_languages |
dan |
opus_readme_url |
[https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/rus - dan/README.md](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/rus - dan/README.md) |
original_repo |
Tatoeba - Challenge |
tags |
['translation'] |
languages |
['ru', 'da'] |
src_constituents |
{'rus'} |
tgt_constituents |
{'dan'} |
src_multilingual |
False |
tgt_multilingual |
False |
prepro |
normalization + SentencePiece (spm32k, spm32k) |
url_model |
[https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.zip) |
url_test_set |
[https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - dan/opus - 2020 - 06 - 17.test.txt) |
src_alpha3 |
rus |
tgt_alpha3 |
dan |
short_pair |
ru - da |
chrF2_score |
0.7140000000000001 |
bleu |
56.6 |
brevity_penalty |
0.977 |
ref_len |
11746.0 |
src_name |
Russian |
tgt_name |
Danish |
train_date |
2020 - 06 - 17 |
src_alpha2 |
ru |
tgt_alpha2 |
da |
prefer_old |
False |
long_pair |
rus - dan |
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.