Comments (5)
What would you think of
- reducing a grammar to a directed graph structure
- where nodes are rule names and edges go from a rule to its dependents. For example:
<A> ::= <B> | <C> <D>
would result in a graph
(A) --> (B)
\
`-> (C) --> (D)
- then check for cycles that can't be reached from terminals
?
I think that'd be doable using petgraph
.
from bnf.
Ah petgraph looks cool! I like your proposed solution too, I'd have to poke at it a bit if I were implementing, but fwiw I'd totally support a solution like this in a PR.
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Has this question been resolved already? If not I think I have proposal for it (I was skeptical that the proposed solution would work).
This problem can be reduced to solving the emptiness problem for CFLs. I have added a solution strategy below:
- We mark every non-terminal that produces a sequences of terminals
- We then recursively mark every non-terminal that can produce a sequence of marked elements
- We check whether the initial non-terminal is marked
I don't think this needs any special libraries but just a poly-space recursion on the existing grammar would work well.
What do you guys think?
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@notDhruv this hasn't been solved yet 😄 I think your approach sounds great, seems like it'd definitely give us a mechanism for avoiding the infinite loop issues, and I can imagine that if we have some known-to-be-finite paths to terminals to traverse, we could work in the min - max generated sentence length too.
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addressed by #127 thanks for everyone's suggestions!
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