Imagine there is a memecoin for each of the ~600,000 words in the dictionary. 

What’s the market cap ordering of those words and why?

Application in Natural Language Processing (NLP): In the context of NLP, algorithms could be developed to analyze and rank words based on various linguistic features, such as frequency, semantic similarity, and contextual relevance, to create a sort of "market cap" ordering for words.

I lean toward frequency being most heavily weighted. I have been parsing dune dashboard for FC for frequency and the top ten are memecoin related

building the financial infrastructure to support crypto products at Coinbase

yeah but what about in the context of memes?