Tool to generate text from Markov's chains, phrase generator based on calculated frequencies and randomness.
Text Generator (Markov Chain) - dCode
Tag(s) : Data Processing
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Text Generator (Markov Chain)
Markov Chain Text Generator
Answers to Questions (FAQ)
What are Markov chains for text? (Definition)
Markov Chains allow the prediction of a future state based on the characteristics of a present state. Suitable for text, the principle of Markov chain can be turned into a sentences generator.
How does Markov chain works for text generation?
The generator analyzes the words and their probability of occurrence of two consecutive words. It then generates chains of words that are probably related. The generation is completely randomized and based on the associations' probabilities of each word.
Example: In the senstence 'the raven and the fox', the word the has a 50% chance of being followed by raven and 50% chance of being followed by fox, while the word and has a 100% chance of being followed by the.
Parameters
The number of words per sentence counts the words of 3 letters and more and thus ignores stop-words. This parameter is an average value, some sentences will be longer and others shorter.
How to obtain a text with a real meaning?
The sentences generated by the text generator are often meaningless but seem to follow the grammar of the used language.
To get better sentences, use artificial intelligences based on natural language semantics (ChatGPT, etc.), these AIs use the principle of Markov chains to determine the next word.
Source code
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Text Generator (Markov Chain) on dCode.fr [online website], retrieved on 2024-12-21,
