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We need more tools to analyse Zencode language tokens to help us develop Zencode as a concise and coherent language. For instance, stats about the most used and less used words and tokenization allow us to implement Norvig's stochastic spelling correction, as mentioned in #723.
The best way to implement introspection at this scope is to implement a special scenario to provide Zencode statements that will create dictionaries and other data about the information we need, having full access to a running VM, it's HEAP and STACK.
The text was updated successfully, but these errors were encountered:
We need more tools to analyse Zencode language tokens to help us develop Zencode as a concise and coherent language. For instance, stats about the most used and less used words and tokenization allow us to implement Norvig's stochastic spelling correction, as mentioned in #723.
The best way to implement introspection at this scope is to implement a special scenario to provide Zencode statements that will create dictionaries and other data about the information we need, having full access to a running VM, it's HEAP and STACK.
The text was updated successfully, but these errors were encountered: