Parsing Expression Grammars were introduced by Bryan Ford in Parsing Expression Grammars: A Recognition Based Syntactic Foundation.. Wikipedia says that it is an open problem to provide a Context Free language that can not be recognized by a PEG.
I am trying to understand the results from this paper -- The computational power of Parsing Expression Grammars by Loff et al. However, I am struggling to understand the notation used. What does the #
mean in the following quote?
We show that PEGs are computationally "universal". Take any computational function $f: \{0,1\}^{*} \rightarrow \{0,1\}^{*};$ then there exist a computable function $g:\{0,1\}^{*} \rightarrow N$ such that
$\{ f(x)\#^{g(x)}x | x \in \{0,1\}^{*} \}$
has a PEG.
They use a slightly different symbol in Theorem 18.
$ L = \{ f(x){⧖}^{g(x)}x | x \in \{0,1\}^{*} \} \in PEG $
Where they talk about the $⧖$ as the number of symbols read (interpretation mine). How do I read this?
Further, can I take this to mean that the question whether a CFL exist that can not be recognized by a PEG is settled?
Essentially, if there exist a PEG for a P complete language, then all other problems in P can be reduced to it. Given that recognizing CFLs are in P, all CFLs should be reduced to recognizing this language.
Note that a similar question was asked by another user three years back, but this is new research.