
### aze-tur

* source group: Azerbaijani 
* target group: Turkish 
*  OPUS readme: [aze-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-tur/README.md)

*  model: transformer-align
* source language(s): aze_Latn
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.aze.tur 	| 24.4 	| 0.529 |


### System Info: 
- hf_name: aze-tur

- source_languages: aze

- target_languages: tur

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-tur/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['az', 'tr']

- src_constituents: {'aze_Latn'}

- tgt_constituents: {'tur'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.test.txt

- src_alpha3: aze

- tgt_alpha3: tur

- short_pair: az-tr

- chrF2_score: 0.529

- bleu: 24.4

- brevity_penalty: 0.956

- ref_len: 5380.0

- src_name: Azerbaijani

- tgt_name: Turkish

- train_date: 2020-06-16

- src_alpha2: az

- tgt_alpha2: tr

- prefer_old: False

- long_pair: aze-tur

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["az", "tr"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation az tr license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #az #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### aze-tur


* source group: Azerbaijani
* target group: Turkish
* OPUS readme: aze-tur
* model: transformer-align
* source language(s): aze\_Latn
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 24.4, chr-F: 0.529


### System Info:


* hf\_name: aze-tur
* source\_languages: aze
* target\_languages: tur
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['az', 'tr']
* src\_constituents: {'aze\_Latn'}
* tgt\_constituents: {'tur'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: aze
* tgt\_alpha3: tur
* short\_pair: az-tr
* chrF2\_score: 0.529
* bleu: 24.4
* brevity\_penalty: 0.956
* ref\_len: 5380.0
* src\_name: Azerbaijani
* tgt\_name: Turkish
* train\_date: 2020-06-16
* src\_alpha2: az
* tgt\_alpha2: tr
* prefer\_old: False
* long\_pair: aze-tur
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### aze-tur


* source group: Azerbaijani
* target group: Turkish
* OPUS readme: aze-tur
* model: transformer-align
* source language(s): aze\_Latn
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 24.4, chr-F: 0.529 ### System Info:


* hf\_name: aze-tur
* source\_languages: aze
* target\_languages: tur
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['az', 'tr']
* src\_constituents: {'aze\_Latn'}
* tgt\_constituents: {'tur'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: aze
* tgt\_alpha3: tur
* short\_pair: az-tr
* chrF2\_score: 0.529
* bleu: 24.4
* brevity\_penalty: 0.956
* ref\_len: 5380.0
* src\_name: Azerbaijani
* tgt\_name: Turkish
* train\_date: 2020-06-16
* src\_alpha2: az
* tgt\_alpha2: tr
* prefer\_old: False
* long\_pair: aze-tur
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #az #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### aze-tur


* source group: Azerbaijani
* target group: Turkish
* OPUS readme: aze-tur
* model: transformer-align
* source language(s): aze\_Latn
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 24.4, chr-F: 0.529 ### System Info:


* hf\_name: aze-tur
* source\_languages: aze
* target\_languages: tur
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['az', 'tr']
* src\_constituents: {'aze\_Latn'}
* tgt\_constituents: {'tur'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: aze
* tgt\_alpha3: tur
* short\_pair: az-tr
* chrF2\_score: 0.529
* bleu: 24.4
* brevity\_penalty: 0.956
* ref\_len: 5380.0
* src\_name: Azerbaijani
* tgt\_name: Turkish
* train\_date: 2020-06-16
* src\_alpha2: az
* tgt\_alpha2: tr
* prefer\_old: False
* long\_pair: aze-tur
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #az #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### aze-tur


* source group: Azerbaijani
* target group: Turkish
* OPUS readme: aze-tur
* model: transformer-align
* source language(s): aze\_Latn
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 24.4, chr-F: 0.529### System Info:


* hf\_name: aze-tur
* source\_languages: aze
* target\_languages: tur
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['az', 'tr']
* src\_constituents: {'aze\_Latn'}
* tgt\_constituents: {'tur'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: aze
* tgt\_alpha3: tur
* short\_pair: az-tr
* chrF2\_score: 0.529
* bleu: 24.4
* brevity\_penalty: 0.956
* ref\_len: 5380.0
* src\_name: Azerbaijani
* tgt\_name: Turkish
* train\_date: 2020-06-16
* src\_alpha2: az
* tgt\_alpha2: tr
* prefer\_old: False
* long\_pair: aze-tur
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41