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It seems like it has transition probabilities. Depending on the type of the prior word, it randomly selects the next word from a list of compatible word types.
by dartos 3y ago
It seems like it has transition probabilities.
Depending on the type of the prior word, it randomly selects the next word from a list of compatible word types.
Am I misunderstanding?
- Robin_Message 3y agoIt only has probability 0 or 1/n, where n is the number of compatible next words. There are no numbers in https://github.com/adamjgrant/Tiny-Predictive-Text/blob/main/dict.js https://github.com/adamjgrant/Tiny-Predictive-Text/blob/main... A Markov chain could express probabilities like completing "the original" to -> "poster" (0.1), -> "McCoy" (0.2), -> "and best" (0.7) which I don't think this does. But I am tired and maybe also misunderstanding.
- dartos 3y agoIs a Markov chain where every state has an equal probability not a Markov chain? Kind of splitting hairs here I guess, but I genuinely don’t know.