🧾 Pseudo-word Generator

A pseudo-word generator that creates words which resemble real ones—though they usually aren't!

💡 How It Works

This generator is inspired by the logic behind feldarkrealms.com.
It requires a large sample of text, which is split into individual words. From each word, the following are extracted:

• The first two letters
• All three-letter sequences
• The last five letters

Example:

hello → he, hel, ell, llo, hello
goodbye → go, goo, ood, odb, dby, bye, odbye

These fragments are stored in separate files along with their frequencies. For instance:

// Initial two-letter prefixes  "he":  10,  "go":  4,
// Three-letter sequences  "hel":  3,  "god":  20,
// Word endings  "rings":  12,  "nners":  15,` 

After generation, fragments that appear less than a certain number of times are filtered out.

Word construction:

1. A two-letter prefix is chosen randomly, weighted by frequency (e.g., if "go" appears 5× and "he" appears 1×, "go" is 5× more likely to be selected).

2. The script searches for three-letter sequences that start with those two letters (e.g., "go" → "goo", "gon", "gop", etc.).

3. One is chosen (again, by frequency), and the third letter is added to the word.

4. This continues by matching the last two letters of the current word with the first two letters of available sequences, adding one letter each time.

5. Finally, the last two letters of the partially formed word are used to find a matching ending fragment, which is appended (also weighted by frequency).

Example flow:

1. Start with: "he"
2. Found sequences: "hel", "hep", "hen" (with respective weights)
3. Chose: "hep" → now word is "hep"
4. Next: match "ep" to sequences → choose and append next letter
5. Continue until desired length
6. Append suitable ending fragment

💡 Fun fact: The language of the sample text affects the output of the script, if you use a german sample text german pseudo-words will be generated.

🎮 Usage

generatePseudoWords(iterations, amount)

• iterations(number) – Roughly the length of each generated word (i.e., how many steps to build it)
• amount(number) – Number of pseudo-words to generate Example:

// Generate 3 pseudo-words with 5 construction steps each 
generatePseudoWords(5, 3); // Possible output: "matosis ocinate bleling" 

License: MIT
Contributing: Contributions welcome! Please feel free to submit a Pull Request.