Typical languages and intelligence

The languages I want to refer at start are the usual written languages or spoken languages, for e.g. English and so on. They can be only temporally conveyed (with time) mainly as a signal, rather than spatial signals of images.

For its grammar, there are only few ways in which a given object or concept or entity can be manipulated, either before it, within it, or after it. Modifying either before or after is achieved in usual languages, because calling it some other word would increase the vocabulary size significantly.
Hence, the transformer (a sequence learner can use that information of how grammar is placed, and learn the grammar from data, and it only needs to fit the right embedding either to the left or right of the depicted concept, e.g. noun or verb for instance.

However, this might also mean that learning languages can be accelerated, or even generalized for a human, with right basis root framework, many langauge structure can just be stacked on it by knowing the vocabulary and definitions (which map to the percepti or conscious or feeling that it evokes), however, still involves learning of the vocabulary and placement as usual. Just like learning basic assumptions and abstract nature of universe enables lower forms of mathematics , which enable its higher forms, which enables physics, which enables chemistry, which enables simple and complex biology, and that is the known peak level of complexity in the universe. However, much remains a mystery or indeterministic currently, about the nature of consciousness and other forces of nature, that are beyond intelligent mind’s reach forever, as they can only be assumed and never verified, or their very structure altogether, makes intelligence.