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opus-mt-en-ROMANCE – AI Model by Helsinki-NLP | AlphaNeural AI
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Helsinki-NLP
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opus-mt-en-ROMANCE
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transformers
pytorch
tf
jax
rust
marian
text2text-generation
translation
en
roa
apache-2.0
endpoints_compatible
us
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opus-mt-en-ROMANCE
source languages: en
target languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la
OPUS readme:
en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la
dataset: opus
model: transformer
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-2020-04-21.zip
test set translations:
opus-2020-04-21.test.txt
test set scores:
opus-2020-04-21.eval.txt
Benchmarks
testset
BLEU
chr-F
Tatoeba.en.la
50.1
0.693