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Tool to generate text from Markov's chains, phrase generator based on calculated frequencies and randomness.
- Data Processing
- Markov Chains allow the prediction of a future state based on the characteristics of a present state. Suitable for text, the principle of Markov ch...
- The generator analyzes the words and their probability of occurrence of two consecutive words. It then generates chains of words that are probably...
- The sentences generated by the text generator are often meaningless but seem to follow the grammar of the used language. To get better sentences, u...
PHP Markov chain text generator This is a very simple Markov chain text generator. Try it below by entering some text or by selecting one of the pre-selected texts available.
Tool to generate word ladders, a sequence of words to pass from one word to another by modifying only one letter at each stage.
- Word Games
- The principle of the words ladder is to list a sequence of words starting from an initial word and arriving at a final word, while making a chain o...
- To go from WORD1 to WORD2 through WORD3 , then create a ladder between WORD1 and WORD3 then another between WORD3 and WORD2 and connect the 2.
- To go from one word to another, N steps are needed where N is the number of different letters (not common) to the two words. Example: CODE and WORD...
- Doublets is the name given to this scale principle of words in a newspaper by Lewis Carroll, this is one of the first written records of this game....
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Markov chain text generator. Enter some of your own text or choose one of the pre-populated texts, including Ulysses by James Joyce, the King James Bible, and my own vampire novel. A Markov chain text generator will mimic a pre-existing text based on probabilities of word order.
Looking for Chain fonts? Click to find the best 16 free fonts in the Chain style. Every font is free to download!
People also ask
What is a Markov chain text generator?
Where can I find the source code for a Markov chain generator?
How do I generate a min_length> text in a Markov chain?
How can a text generator make a better sentence?
One method of generating fake but familiar looking text is to use a Markov chain generator. There is a fantastic Python library for doing this called jsvine/markovify but I wanted to learn more about how it works under the hood so I implemented the algorithms from scratch!
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