
### opus-mt-de-ZH

* source languages: de
* target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh
*  OPUS readme: [de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.de.zh 	| 24.4 	| 0.335 |


{"license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation de zh license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-de-ZH


* source languages: de
* target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh
* OPUS readme: de-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* 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: 24.4, chr-F: 0.335



### opus-mt-de-ZH


* source languages: de
* target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh
* OPUS readme: de-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* 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: 24.4, chr-F: 0.335
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-de-ZH


* source languages: de
* target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh
* OPUS readme: de-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* 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: 24.4, chr-F: 0.335
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-de-ZH


* source languages: de
* target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh
* OPUS readme: de-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* 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: 24.4, chr-F: 0.335