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Markov Chain Text Generator

Build a script that reads a text corpus, builds a word-level Markov chain model in a Lua table, and generates novel random sentences from it. Learners practice text parsing, table-based probability modeling, and randomized generation in Lua.

Estimate
~6.5h
Steps
5
Completed by
0
Proposed by
codeseed.app

Lua standard library

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Project roadmap

  1. 01

    Load and tokenize text

    ~1h

    Read a text file and split it into words using string.gmatch.

  2. 02

    Build the Markov table

    ~2h

    Construct a table mapping each word (or word pair) to a list of possible next words.

  3. 03

    Implement sentence generation

    ~1.5h

    Walk the chain using math.random to produce a sentence of a target length.

  4. 04

    Add CLI options

    ~1h

    Let the user specify corpus file, sentence count, and chain order via arguments.

  5. 05

    Polish output formatting

    ~1h

    Capitalize sentences and clean up punctuation spacing in the generated text.

Resources

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~6.5h · 5 steps

Tech stack

Lua standard library