đ aze-eng Translation Model
This is a translation model for converting Azerbaijani to English, offering high - quality translation services and detailed benchmark data.
đ Quick Start
This model is designed for Azerbaijani to English translation. You can download the original weights and test set translations from the provided links to start using it.
⨠Features
- Translation Direction: Converts text from Azerbaijani to English.
- Model Type: Uses the
transformer-align model.
- Pre - processing: Applies normalization and SentencePiece (spm12k, spm12k) for text pre - processing.
đĻ Installation
There is no specific installation command provided in the original README. So, this section is skipped.
đģ Usage Examples
There is no code example provided in the original README. So, this section is skipped.
đ Documentation
Model Information
| Property |
Details |
| Source Group |
Azerbaijani |
| Target Group |
English |
| OPUS Readme |
[aze - eng](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/aze - eng/README.md) |
| Model |
transformer - align |
| Source Language(s) |
aze_Latn |
| Target Language(s) |
eng |
| Pre - processing |
normalization + SentencePiece (spm12k,spm12k) |
| Download Original Weights |
[opus - 2020 - 06 - 16.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/aze - eng/opus - 2020 - 06 - 16.zip) |
| Test Set Translations |
[opus - 2020 - 06 - 16.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/aze - eng/opus - 2020 - 06 - 16.test.txt) |
| Test Set Scores |
[opus - 2020 - 06 - 16.eval.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/aze - eng/opus - 2020 - 06 - 16.eval.txt) |
Benchmarks
| testset |
BLEU |
chr - F |
| Tatoeba - test.aze.eng |
31.9 |
0.490 |
System Info
- hf_name: aze - eng
- source_languages: aze
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/aze - eng/README.md
- original_repo: Tatoeba - Challenge
- tags: ['translation']
- languages: ['az', 'en']
- src_constituents: {'aze_Latn'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba - MT - models/aze - eng/opus - 2020 - 06 - 16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba - MT - models/aze - eng/opus - 2020 - 06 - 16.test.txt
- src_alpha3: aze
- tgt_alpha3: eng
- short_pair: az - en
- chrF2_score: 0.49
- bleu: 31.9
- brevity_penalty: 0.997
- ref_len: 16165.0
- src_name: Azerbaijani
- tgt_name: English
- train_date: 2020 - 06 - 16
- src_alpha2: az
- tgt_alpha2: en
- prefer_old: False
- long_pair: aze - eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020 - 08 - 21 - 14:41
đ§ Technical Details
There is no detailed technical implementation description (more than 50 words) provided in the original README. So, this section is skipped.
đ License
This project is licensed under the apache - 2.0 license.
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