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Asked: May 10, 20262026-05-10T14:55:09+00:00 2026-05-10T14:55:09+00:00

I have an algorithm that generates strings based on a list of input words.

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I have an algorithm that generates strings based on a list of input words. How do I separate only the strings that sounds like English words? ie. discard RDLO while keeping LORD.

EDIT: To clarify, they do not need to be actual words in the dictionary. They just need to sound like English. For example KEAL would be accepted.

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  1. 2026-05-10T14:55:09+00:00Added an answer on May 10, 2026 at 2:55 pm

    You can build a markov-chain of a huge english text.

    Afterwards you can feed words into the markov chain and check how high the probability is that the word is english.

    See here: http://en.wikipedia.org/wiki/Markov_chain

    At the bottom of the page you can see the markov text generator. What you want is exactly the reverse of it.

    In a nutshell: The markov-chain stores for each character the probabilities of which next character will follow. You can extend this idea to two or three characters if you have enough memory.

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  • added an answer Thanks to both sipwiz and MrEvil. We developed a PHP… May 11, 2026 at 12:08 pm
  • added an answer Actually I found that this is very easy in VBA.… May 11, 2026 at 12:08 pm
  • added an answer Try using TInterfaceList rather than TList to store the instances… May 11, 2026 at 12:08 pm

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