Hidden Markov Model

Custom Corpus Text Generator

Hidden N-gram engine fed by your own pasted or uploaded text.

Source text (paste or type here)

Tokens: 0 Unique words: 0

Approx. output length (words)

Randomness (0.0–1.5)

Generated Output

Hidden N-Gram Text Engine

This generator runs entirely in your browser. It builds a wordbank and a layered n-gram model from whatever text you feed it.

1. Building the corpus / wordbank

• Paste text into the box and click Add to Corpus.
• Or upload a .txt file – its contents are merged automatically.
• The token and unique word counts show how large the wordbank is.

2. Hidden N-gram layers

• Visible layer: a 2-word Markov chain (bigrams). It looks at pairs of words and learns which word tends to follow.
• Hidden layer: a 3-word chain (trigrams) that tracks longer phrases in the background.
• During generation, the engine blends the visible bigram distribution with the hidden trigram distribution to choose each next word.
• If the corpus is tiny, it falls back to looser random jumps so it still produces output.

3. Controls

• Approx. output length – target number of words.
• Randomness – lower values hug the learned patterns; higher values wander into stranger regions of the chain.
• Clear Corpus – wipes the wordbank so you can start fresh.
• Copy Output – copies the generated text to your clipboard.

To increase the size and richness of the wordbank, just keep adding more text. The hidden n-gram layer quietly tracks longer spans, so as your corpus grows, the generator starts to echo your rhythms, idioms, and motifs.