DeepL Translator – AI Assistance for Language
31–40 of 56 posts
Re: DeepL Translator – AI Assistance for Language
#32Google: La fruta vuela como una flecha.
DeepL: La fruta vuela como una flecha.
"Fruit flies like bananas".
Google: La fruta vuela como plátanos.
DeepL: Las moscas de la fruta son como los plátanos.
Re: DeepL Translator – AI Assistance for Language
#33Re: DeepL Translator – AI Assistance for Language
#34Kinda sad to hear, but completely understandable. I'm curious whether the difference in performance is due to their model specifics or just better training data.
Does anyone have more information?
Re: DeepL Translator – AI Assistance for Language
#35I tried it with a German poem (Erlkönig) and it seems like Shakespeare is in the training data... at least it's not regular English: "And if thou wilt not, I shall need violence."
Re: DeepL Translator – AI Assistance for Language
#36Re: DeepL Translator – AI Assistance for Language
#37I tried a number of simple Italian words and I kept thinking it was German and getting it wrong. I even tried "hola" and it couldn't get it.
Re: DeepL Translator – AI Assistance for Language
#38"Twas Brillig, et les fentes fendues tournoyaient et gimblaient dans l'épée. Tous les mimsy étaient des borogoves, et les mome raths dépassaient les ragots.
Méfie-toi du Jabberwock, mon fils! Les mâchoires qui mordent, les griffes qui attrapent. Et'ware l'oiseau Jubjub, et fuyez le bandersnatch frumieux.
It's curious that it didn't understand "'twas" for the French translation, but apparently did for the German one. (My German is almost nonexistent, though.)
Re: DeepL Translator – AI Assistance for Language
#39"Fruit flies like an arrow" Google: La fruta vuela como una flecha. DeepL: La fruta vuela como una flecha. "Fruit flies like bananas". Google: La fruta vuela como plátanos. DeepL: Las moscas de la fruta son como los plátanos.
Re: DeepL Translator – AI Assistance for Language
#40> Specific details of our network architecture will not be published at this time. DeepL Translator is based on a single, non-ensemble model. Kinda sad to hear, but completely understandable. I'm curious whether the difference in performance is due to their model specifics or just better training data. Does anyone have more information?
I have no information on the model, unfortunately.