Tool to generate text from Markof's chains. 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.
Text Generator (Markov Chain) - dCode
Tag(s) : Data Processing
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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.
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.
The sentences generated by the text generator are often meaningless but seem to follow the grammar of the used language.
To obtain better sentences, wait for the progress of artificial intelligence and natural language semantics.