I have an idea. This is simple DCG converter for Picat.
This code is example file of DCG like format.
dcg([sentence, -->, noun_phrase, verb_phrase]).
dcg([noun_phrase, -->, det, noun]).
dcg([verb_phrase, -->, verb, noun_phrase]).
dcg([det, -->, [the]]).
dcg([det, -->, [a]]).
dcg([det, -->, [an]]).
dcg([noun, -->, [cat]]).
dcg([noun, -->, [bat]]).
dcg([verb, -->, [eats]]).
Next code is main.pi file.
import util, io.
main([IN]) =>
writeln([IN.to_atom()]),
rw_dcg(IN.to_atom()).
rw_dcg(RF) =>
RD = open(RF),
I = 1,
MP = new_map(),
L = read_term(RD),
while (L != end_of_file)
DCG=cnv_dcg(I,MP,L),
cl_facts(DCG),
println(L),
println(DCG),
L := read_term(RD),
I := I+1
end,
close(RD).
cnv_dcg(_,MP,dcg([HD,-->,[a]])) =DCG,
Q=check_lhs(MP,HD) =>
% I don't know this code problem of "a", and why?.
DCG = HD.to_string()++"([a|X],X2)"++Q++"=> X2=X.".
cnv_dcg(_,MP,dcg([HD,-->,T])) =DCG,
list(T),
Q=check_lhs(MP,HD) =>
append(T2,[_],T.to_string()),
DCG = HD.to_string()++"("++T2++"|X],X2)"++Q++"=> X2=X.".
cnv_dcg(_,MP,dcg([HD,-->|T])) =DCG =>
LN = (T.length()+1).to_string(),
DCG = HD.to_string()++"(S1,S"++LN++") => ",
foreach(I in 1..T.length())
E=cond(I==T.length(),".",",").to_string(),
N1 = I.to_string(),
N2 = (I+1).to_string(),
DCG := DCG++T[I].to_string()++"(S"++N1++",S"++N2++")"++E.
check_lhs(MP,KY)= Q =>
(MP.has_key(KY)-> Q=" " ; Q=" ?", MP.put(KY,Q)).
Next is converted code. Thank you for deleted and comments.
sentence(S1,S3) => noun_phrase(S1,S2),verb_phrase(S2,S3).
noun_phrase(S1,S3) => det(S1,S2),noun(S2,S3).
verb_phrase(S1,S3) => verb(S1,S2),noun_phrase(S2,S3).
det([the|X],X2) ?=> X2=X.
det([a|X],X2) => X2=X.
det([an|X],X2) => X2=X.
noun([cat|X],X2) ?=> X2=X.
noun([bat|X],X2) => X2=X.
verb([eats|X],X2) ?=> X2=X.