đ rus-lav Translation Model
This project focuses on the translation between Russian and Latvian, offering a practical solution for cross - language communication.
⨠Features
- Language Pair: It supports translation from Russian to Latvian.
- Model Type: The
transformer - align model is used for the translation task.
- Pre - processing: The pre - processing includes normalization and SentencePiece (spm32k, spm32k).
đĻ Installation
No installation steps are provided in the original document, so this section is skipped.
đģ Usage Examples
No code examples are provided in the original document, so this section is skipped.
đ Documentation
Model Information
| Property |
Details |
| Source Group |
Russian |
| Target Group |
Latvian |
| OPUS Readme |
[rus - lav](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/rus - lav/README.md) |
| Model Type |
transformer - align |
| Source Language(s) |
rus |
| Target Language(s) |
lav |
| Pre - processing |
normalization + SentencePiece (spm32k, spm32k) |
| Download Original Weights |
[opus - 2020 - 06 - 17.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - lav/opus - 2020 - 06 - 17.zip) |
| Test Set Translations |
[opus - 2020 - 06 - 17.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - lav/opus - 2020 - 06 - 17.test.txt) |
| Test Set Scores |
[opus - 2020 - 06 - 17.eval.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/rus - lav/opus - 2020 - 06 - 17.eval.txt) |
Benchmarks
| testset |
BLEU |
chr - F |
| Tatoeba - test.rus.lav |
50.0 |
0.696 |
System Info
- hf_name: rus - lav
- source_languages: rus
- target_languages: lav
- opus_readme_url: https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/rus - lav/README.md
- original_repo: Tatoeba - Challenge
- tags: ['translation']
- languages: ['ru', 'lv']
- src_constituents: {'rus'}
- tgt_constituents: {'lav'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k, spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba - MT - models/rus - lav/opus - 2020 - 06 - 17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba - MT - models/rus - lav/opus - 2020 - 06 - 17.test.txt
- src_alpha3: rus
- tgt_alpha3: lav
- short_pair: ru - lv
- chrF2_score: 0.696
- bleu: 50.0
- brevity_penalty: 0.968
- ref_len: 1518.0
- src_name: Russian
- tgt_name: Latvian
- train_date: 2020 - 06 - 17
- src_alpha2: ru
- tgt_alpha2: lv
- prefer_old: False
- long_pair: rus - lav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020 - 08 - 21 - 14:41
đ§ Technical Details
No technical details (more than 50 - word specific technical descriptions) are provided in the original document, so this section is skipped.
đ License
The project is licensed under the Apache - 2.0 license.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
