> Nous établissons que l'utilisation de données d'un tel nombre et d'une telle diversité est la raison pour laquelle le système est à même de comprendre de nombreux accents...
It doesn't sound natural at all. An idiomatic formulation would be more along the lines of:
Le recours à un corpus [de données] si riche et varié est ce qui permet au système de comprendre de nombreux accents (With 'corpus', 'données' is implied.)
Of course this is just an example, and I'm sure other French speakers could come up with a different wording, but "données d'un tel nombre et d'une telle diversité" sounds really wrong.
This is also weird and convoluted:
> Nous distribuons en tant que logiciel libre le code source pour nos modèles et pour l'inférence, afin que ceux-ci puissent servir comme un point de départ pour construire des applications utiles
It should at least be "le code source DE nos modèles" and "servir DE point de départ", and "en tant que logiciel libre" should placed at the end of the proposition (after 'inférence').
Also, "construire" isn't used for code but for buildings, and "applications utiles" is unusual, because "utiles" (useful) is assumed. "...pour le développement de nouvelles applications" would sound more French.
I kind of doubt it though -- the speaker doesn't have a Canadian accent (which is hard to miss), and in my (admittedly limited) experience, French Canadian isn't that different from French.
No one says "Nous", there, ever. Perhaps the politicians, while giving a speech. Everyone else uses the more informal "On".
I felt duped by my French classes.
It is often used for larger groups or when the group is not very personally connected. For instance when talking about your company doing something you will often use "nous". I would also use "nous" to refer to the whole list of invitees to a wedding. And in formal contextes like research papers, reports etc. You would never use "on", always "nous".
> We distribute as a free software the source code for our models and for the inference [...]
Should be
> We are open-sourcing models and inference code [...]
Another example
> We establish that the use of such a number of data is such a diversity and the reason why our system is able [...]
Should be
> We show that the use of such a large and diverse dataset leads to improved robustness [...]
