Wanted to experiment with using a little bit of natural language processing to have more fluid interactions with npc in a text game, so farm my idea is to take the player text and parse it to convert in a set of general tokens and then match sequences of said tokens to prewritten answers or actions. so "how much this sword costs?" might become
[Question::Quantity, Local, Uncategorized(sword), Price]
an be matched with an answer for the price of the sword
i am curious what's the general consensus on this approach and if you have any advice to make sure it can stay performant even with many possible therms or answers

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