
### zho-msa

* source group: Chinese 
* target group: Malay (macrolanguage) 
*  OPUS readme: [zho-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-msa/README.md)

*  model: transformer-align
* source language(s): cmn_Bopo cmn_Hani cmn_Latn hak_Hani yue_Bopo yue_Hani
* target language(s): ind zsm_Latn
* model: transformer-align
* 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: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.msa 	| 13.9 	| 0.390 |


### System Info: 
- hf_name: zho-msa

- source_languages: zho

- target_languages: msa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['zh', 'ms']

- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}

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

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.test.txt

- src_alpha3: zho

- tgt_alpha3: msa

- short_pair: zh-ms

- chrF2_score: 0.39

- bleu: 13.9

- brevity_penalty: 0.9229999999999999

- ref_len: 2762.0

- src_name: Chinese

- tgt_name: Malay (macrolanguage)

- train_date: 2020-06-17

- src_alpha2: zh

- tgt_alpha2: ms

- prefer_old: False

- long_pair: zho-msa

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### zho-msa


* source group: Chinese
* target group: Malay (macrolanguage)
* OPUS readme: zho-msa
* model: transformer-align
* source language(s): cmn\_Bopo cmn\_Hani cmn\_Latn hak\_Hani yue\_Bopo yue\_Hani
* target language(s): ind zsm\_Latn
* model: transformer-align
* 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: 13.9, chr-F: 0.390


### System Info:


* hf\_name: zho-msa
* source\_languages: zho
* target\_languages: msa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'ms']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: msa
* short\_pair: zh-ms
* chrF2\_score: 0.39
* bleu: 13.9
* brevity\_penalty: 0.9229999999999999
* ref\_len: 2762.0
* src\_name: Chinese
* tgt\_name: Malay (macrolanguage)
* train\_date: 2020-06-17
* src\_alpha2: zh
* tgt\_alpha2: ms
* prefer\_old: False
* long\_pair: zho-msa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### zho-msa


* source group: Chinese
* target group: Malay (macrolanguage)
* OPUS readme: zho-msa
* model: transformer-align
* source language(s): cmn\_Bopo cmn\_Hani cmn\_Latn hak\_Hani yue\_Bopo yue\_Hani
* target language(s): ind zsm\_Latn
* model: transformer-align
* 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: 13.9, chr-F: 0.390 ### System Info:


* hf\_name: zho-msa
* source\_languages: zho
* target\_languages: msa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'ms']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: msa
* short\_pair: zh-ms
* chrF2\_score: 0.39
* bleu: 13.9
* brevity\_penalty: 0.9229999999999999
* ref\_len: 2762.0
* src\_name: Chinese
* tgt\_name: Malay (macrolanguage)
* train\_date: 2020-06-17
* src\_alpha2: zh
* tgt\_alpha2: ms
* prefer\_old: False
* long\_pair: zho-msa
* 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 #zh #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### zho-msa


* source group: Chinese
* target group: Malay (macrolanguage)
* OPUS readme: zho-msa
* model: transformer-align
* source language(s): cmn\_Bopo cmn\_Hani cmn\_Latn hak\_Hani yue\_Bopo yue\_Hani
* target language(s): ind zsm\_Latn
* model: transformer-align
* 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: 13.9, chr-F: 0.390 ### System Info:


* hf\_name: zho-msa
* source\_languages: zho
* target\_languages: msa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['zh', 'ms']
* src\_constituents: {'cmn\_Hans', 'nan', 'nan\_Hani', 'gan', 'yue', 'cmn\_Kana', 'yue\_Hani', 'wuu\_Bopo', 'cmn\_Latn', 'yue\_Hira', 'cmn\_Hani', 'cjy\_Hans', 'cmn', 'lzh\_Hang', 'lzh\_Hira', 'cmn\_Hant', 'lzh\_Bopo', 'zho', 'zho\_Hans', 'zho\_Hant', 'lzh\_Hani', 'yue\_Hang', 'wuu', 'yue\_Kana', 'wuu\_Latn', 'yue\_Bopo', 'cjy\_Hant', 'yue\_Hans', 'lzh', 'cmn\_Hira', 'lzh\_Yiii', 'lzh\_Hans', 'cmn\_Bopo', 'cmn\_Hang', 'hak\_Hani', 'cmn\_Yiii', 'yue\_Hant', 'lzh\_Kana', 'wuu\_Hani'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zho
* tgt\_alpha3: msa
* short\_pair: zh-ms
* chrF2\_score: 0.39
* bleu: 13.9
* brevity\_penalty: 0.9229999999999999
* ref\_len: 2762.0
* src\_name: Chinese
* tgt\_name: Malay (macrolanguage)
* train\_date: 2020-06-17
* src\_alpha2: zh
* tgt\_alpha2: ms
* prefer\_old: False
* long\_pair: zho-msa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #zh #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### zho-msa


* source group: Chinese
* target group: Malay (macrolanguage)
* OPUS readme: zho-msa
* model: transformer-align
* source language(s): cmn\_Bopo cmn\_Hani cmn\_Latn hak\_Hani yue\_Bopo yue\_Hani
* target language(s): ind zsm\_Latn
* model: transformer-align
* 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: 13.9, chr-F: 0.390