模型:
Helsinki-NLP/opus-mt-es-ar
任务:
许可:
源语言组:西班牙语
目标语言组:阿拉伯语
OPUS自述文件: spa-ara
模型:transformer
源语言:spa
目标语言:apc apc_Latn ara arq
模型:transformer
预处理:规范化+SentencePiece(spm32k,spm32k)
需要以形式为>>id<<(id = 有效目标语言ID)的句子初始语言标记
下载原始权重: opus-2020-07-03.zip
测试集翻译: opus-2020-07-03.test.txt
测试集得分: opus-2020-07-03.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.spa.ara | 20.0 | 0.517 |
hf_name:spa-ara
源语言:spa
目标语言:ara
OPUS自述文件URL: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md
原始存储库:Tatoeba-Challenge
标签:['translation']
语言:['es','ar']
src_constituents:{'spa'}
tgt_constituents:{'apc','ara','arq_Latn','arq','afb','ara_Latn','apc_Latn','arz'}
src_multilingual:False
tgt_multilingual:False
预处理:规范化+SentencePiece(spm32k,spm32k)
模型URL: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip
测试集URL: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt
src_alpha3:spa
tgt_alpha3:ara
short_pair:es-ar
chrF2分数:0.517
bleu:20.0
brevity_penalty:0.9390000000000001
ref_len:7547.0
src_name:西班牙语
tgt_name:阿拉伯语
train_date:2020-07-03
src_alpha2:es
tgt_alpha2:ar
prefer_old:False
long_pair:spa-ara
helsinki_git_sha:480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha:2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine:brutasse
port_time:2020-08-21-14:41