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Carl's stuff

Mostly old projects I'm resurrecting with a little help from Claude...

Projects

More Steam games than you could play in a lifetime? That's an optimisation problem! This highly scientific solution will help you decide what to play next.

  • Metacritic
  • How Long To Beat
  • Stupid

A short claymation whodunnit. Click to interact with people, work out what happened.

  • Game jam
  • Claymation
  • Point-and-click
  • Web-based

Many years ago when I was riddled with cancer (fine now) and taking drugs that made me crave KFC, I made a spreadsheet to work out the most chicken per money I could get. This was often cited as evidence that I am a massive nerd. When the top item (3 Piece Variety Meal) was removed from the menu, I asked Claud to make an up to date version. It did a much better job than I ever did and I'm questioning my nerd credentials. Here is the summary as a web page.

  • KFC UK
  • Value ranking

A rule-based grapheme-to-phoneme converter: type an English word, get back its ARPABET pronunciation. Beats dictionaries and AI trained solutions in the < 20 kb category by a fair margin.

  • Grapheme to phoneme
  • ARPABET
  • CMU dictionary
  • NLP

Simply choosing the most common Part of Speech for every word can reach ~90% accuracy. This project achieves similar results without the need of a huge dictionary.

Uses a Hidden Markov Model and the Viterbi algorithm to find the likely sequence of tags in a sentence. Possible tags are seeded using a tiny bootstrap dictionary and guesswork. Trained on CoNLL-2000 and UD English-EWT data.

  • Hidden Markov Model
  • Viterbi
  • NLP