
### eng-cpp

* source group: English 
* target group: Creoles and pidgins, Portuguese-based 
*  OPUS readme: [eng-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md)

*  model: transformer
* source language(s): eng
* target language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-msa.eng.msa 	| 32.6 	| 0.573 |
| Tatoeba-test.eng.multi 	| 32.7 	| 0.574 |
| Tatoeba-test.eng-pap.eng.pap 	| 42.5 	| 0.633 |


### System Info: 
- hf_name: eng-cpp

- source_languages: eng

- target_languages: cpp

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'id', 'cpp']

- src_constituents: {'eng'}

- tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt

- src_alpha3: eng

- tgt_alpha3: cpp

- short_pair: en-cpp

- chrF2_score: 0.574

- bleu: 32.7

- brevity_penalty: 0.996

- ref_len: 34010.0

- src_name: English

- tgt_name: Creoles and pidgins, Portuguese-based

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: cpp

- prefer_old: False

- long_pair: eng-cpp

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-cpp


* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: eng-cpp
* model: transformer
* source language(s): eng
* target language(s): ind max\_Latn min pap tmw\_Latn zlm\_Latn zsm\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 32.6, chr-F: 0.573
testset: URL, BLEU: 32.7, chr-F: 0.574
testset: URL, BLEU: 42.5, chr-F: 0.633


### System Info:


* hf\_name: eng-cpp
* source\_languages: eng
* target\_languages: cpp
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'id', 'cpp']
* src\_constituents: {'eng'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: cpp
* short\_pair: en-cpp
* chrF2\_score: 0.574
* bleu: 32.7
* brevity\_penalty: 0.996
* ref\_len: 34010.0
* src\_name: English
* tgt\_name: Creoles and pidgins, Portuguese-based
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: cpp
* prefer\_old: False
* long\_pair: eng-cpp
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-cpp


* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: eng-cpp
* model: transformer
* source language(s): eng
* target language(s): ind max\_Latn min pap tmw\_Latn zlm\_Latn zsm\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 32.6, chr-F: 0.573
testset: URL, BLEU: 32.7, chr-F: 0.574
testset: URL, BLEU: 42.5, chr-F: 0.633 ### System Info:


* hf\_name: eng-cpp
* source\_languages: eng
* target\_languages: cpp
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'id', 'cpp']
* src\_constituents: {'eng'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: cpp
* short\_pair: en-cpp
* chrF2\_score: 0.574
* bleu: 32.7
* brevity\_penalty: 0.996
* ref\_len: 34010.0
* src\_name: English
* tgt\_name: Creoles and pidgins, Portuguese-based
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: cpp
* prefer\_old: False
* long\_pair: eng-cpp
* 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 #en #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-cpp


* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: eng-cpp
* model: transformer
* source language(s): eng
* target language(s): ind max\_Latn min pap tmw\_Latn zlm\_Latn zsm\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 32.6, chr-F: 0.573
testset: URL, BLEU: 32.7, chr-F: 0.574
testset: URL, BLEU: 42.5, chr-F: 0.633 ### System Info:


* hf\_name: eng-cpp
* source\_languages: eng
* target\_languages: cpp
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'id', 'cpp']
* src\_constituents: {'eng'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: cpp
* short\_pair: en-cpp
* chrF2\_score: 0.574
* bleu: 32.7
* brevity\_penalty: 0.996
* ref\_len: 34010.0
* src\_name: English
* tgt\_name: Creoles and pidgins, Portuguese-based
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: cpp
* prefer\_old: False
* long\_pair: eng-cpp
* 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 #en #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-cpp


* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: eng-cpp
* model: transformer
* source language(s): eng
* target language(s): ind max\_Latn min pap tmw\_Latn zlm\_Latn zsm\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 32.6, chr-F: 0.573
testset: URL, BLEU: 32.7, chr-F: 0.574
testset: URL, BLEU: 42.5, chr-F: 0.633### System Info:


* hf\_name: eng-cpp
* source\_languages: eng
* target\_languages: cpp
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'id', 'cpp']
* src\_constituents: {'eng'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: cpp
* short\_pair: en-cpp
* chrF2\_score: 0.574
* bleu: 32.7
* brevity\_penalty: 0.996
* ref\_len: 34010.0
* src\_name: English
* tgt\_name: Creoles and pidgins, Portuguese-based
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: cpp
* prefer\_old: False
* long\_pair: eng-cpp
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41