4 ms·

Your automatic italian localization is incredibly bad. Examples: "Stiamo usando un fork dell'immaginazione per alimentare la nostra intelligenza artificiale, e

Your automatic italian localization is incredibly bad. Examples: "Stiamo usando un fork dell'immaginazione per alimentare la nostra intelligenza artificiale, e il nostro progetto è sviluppato con Django per il sito web." -> "We are using a fork of imagination for feeding our artificial intelligence, and our project is developed with Django for the website". "Migliora le tue foto, cartoni animati, immagini e più facilmente e rapidamente utilizzando l'intelligenza artificiale" -> "Improve your pics, cartoons, images and easier and faster using AI" "Aumento della scala delle immagini" -> "Increase in the scale [alternative reading: in the staircase/ladder] of images" I haven't read your term of services, but I'm not sure they should be left to the same automatic translation; give them in English, or at least make sure you say that the English version is binding and the automatic translation is provided "for convenience only". Not a lawyer at all, but if this was my website I would write something like this before the translated ToS: "La versione vincolante dei termini di servizio è quella originale in lingua inglese [link to ENG version]; questa versione in italiano è tradotta in maniera automatica e pertanto può contenere inesattezze. La versione italiana non ha alcuna valenza legale, ed è fornita unicamente per comodità."

gus_massa 3y ago
The Spanish translation has similar errors. In particular the two "y" (and) in the initial sentence make it difficult to read. (I think it's grammatically correct, but it's too difficult to understand.) Also the name of the project imaginAIry is translated to "imaginación" (imagination), but it should have been left unchanged. The term of service are in English, anyway.
Roark66 3y ago
Not the Op, but I have recently been working on applying "state of the art" AI for translations into languages other than English and I was pretty disappointed with rather mediocre results from Chatgpt, normal gpt and Google translate API. As it is, just running fairseq M2M100 locally (even just on a cpu) gave me significantly better results for English->Polish translation. And I was properly amazed by the quality of Microsoft's translation service. It wasn so much that the output ChatGPT / Google created was wrong, but that it used wrong type of language for the context. For example speaking using very basic/common words no real person would use in a business document. MS translation service was really good in this regard, only making mistakes on genders of people in the translated text (too small context window?).
- francoisml 3y ago
  If you liked M2M100 you might also want to try NLLB 200, which is basically a more recent version (from Fairseq too) that supports more languages and that gives better results in my opinion.

gus_massa 3y ago

The Spanish translation has similar errors. In particular the two "y" (and) in the initial sentence make it difficult to read. (I think it's grammatically correct, but it's too difficult to understand.) Also the name of the project imaginAIry is translated to "imaginación" (imagination), but it should have been left unchanged. The term of service are in English, anyway.

Roark66 3y ago

Not the Op, but I have recently been working on applying "state of the art" AI for translations into languages other than English and I was pretty disappointed with rather mediocre results from Chatgpt, normal gpt and Google translate API. As it is, just running fairseq M2M100 locally (even just on a cpu) gave me significantly better results for English->Polish translation. And I was properly amazed by the quality of Microsoft's translation service. It wasn so much that the output ChatGPT / Google created was wrong, but that it used wrong type of language for the context. For example speaking using very basic/common words no real person would use in a business document. MS translation service was really good in this regard, only making mistakes on genders of people in the translated text (too small context window?).

francoisml 3y ago
If you liked M2M100 you might also want to try NLLB 200, which is basically a more recent version (from Fairseq too) that supports more languages and that gives better results in my opinion.