I've written compilers, and even though I no longer have any reason to do so, I'd love to know more about writing better compilers in better languages.

There are dozens and dozens, if not hundreds of articles and "how to" style pages on the web showing a concrete implementation of a small compiler for a toy language using lex/flex and yacc/bison, yet when asked for something similar in ML, SML, Haskell, whatever, the response is to be pointed at books and scholarly articles.

Where are the popular accounts of better compiler building with ML? Are there any? If not, why not?

Yes, building an industrial-strength compiler for a real-world langauge is a big and complex undertaking, but I feel the field would advance more quickly if more hackers had more access to more articles of the "Build a compiler in an afternoon" variety.

And I'd appreciate learning from it too, despite, or perhaps because of, my existing knowledge.

Part of it is that the culture surrounding ML is quite academic. Most of what I've found has been written for journals or books (the Appel compilers book above, _Purely Functional Data Structures_ by Okasaki, etc.), not blogs. Also, the ML community is rather small, though FWIW I'm only really familiar with the OCaml side of it.

Here's[1] a post about an OCaml / LLVM article by Jon Harrop, but it's just an intro for an article in his (pay) OCaml Journal.

   [1]: http://ocamlnews.blogspot.com/2008/09/writing-bytecode-compiler-using-llvm.html

And there, to some extent, is the point. People will continue to write "popular press" articles about builing compilers using flex and bison, possibly targetting C as an intermediate language, until the ML community (or equivalent) becomes less clannish.

I'd love to see how clever they are, applaud them for it, and build on their work. They don't seem to care.

Indeed. I think the ML languages have a lot of ideas that should see more widespread use, but the community (with exceptions, naturally) seems to be more motivated by reputation within academia than on blogs and other open discussions. That's their prerogative, I guess, but it does mean that little activity around ML is visible outside certain circles.

I'm curious about writing interpreters / compilers in Prolog (another language that seems particularly suited to prototyping them), as well, but I've already got plenty of projects.

Please no books and no research papers.

Just a short article showing how to get things done.

Exactly as one we're discussing.