82 karma · joined March 2, 2020
No, Google Translate and other state of the art machine translation software rely on large corpuses of linguistic data from which they make statistical inference. They do not have a 'centralized metalanguage' which ontologizes meaning in the manner described by OP.
As with GOFAI, a formalized representation of meaning entails certain ontological assumptions about "how the world hangs together". These assumptions often hold true for an isolated domain of inquiry but falter when dealing with more complex phenomena. I could, however, see such a system useful for 'Simple Wikipedia' articles which largely consist of existentially quantifiable sentences.
There is a wealth of philosophical scholarship on the issues of semantics and formal representation; I recommend the works of Hubert Dreyfus if you want to dig into this more.
We've been down this road before... https://en.wikipedia.org/wiki/Characteristica_universalis
It often goes unmentioned that these interviews test the wrong skills for software development and even instill bad practices. To wit, those artificially handicapped online IDEs force you to memorize language APIs which any real IDE would handle for you -- forget that the JS lowercase string call is "toLowerCase"? Too bad. Also, since time is of the essence, and no debugging tools are provided, you better be using an interpreted language (read: JS and Python -- and really only the former unless you can import the correct libraries) and littering your code with print statements.
Other companies opt for the ostensibly fairer "take home CRUD app assignment" but this too is a facade to lend credence to a preselected candidate pool. No matter how well you complete the assignment with all enterprise grade best practices, you'll still playing the lottery (and this time with a five hour time sink).
Bottom line is don't interpret a lack of success in this draconian system to a personal defect. Ideally, seek employers who assess candidates fairly and qualitatively.
It's only because of the harsh economic reality of America's university system that such a prospect is even thinkable.