# Help me understand how word-as-vector representations are constructed

Let's suppose I have a big list of words. I want to turn this list into a vector space of dimension $N$ such that each word is a vector in this vector space. But I have no idea how to go about with that. Some questions:

1. Is the list enough? For each element of the list, do I need $x$ example sentences also?
2. How does the computer deduce the dimensions of the vector space from the list/corpus?
3. Is there a way to figure out whether the dimensions of the vector space correspond to something in English?