/* Probabilistic context-free grammar. 0.2:S->aS 0.2:S->bS 0.3:S->a 0.3:S->b From Taisuke Sato and Keiichi Kubota. Viterbi training in PRISM. Theory and Practice of Logic Programming, doi:10.1017/S1471068413000677. */ :- use_module(library(mcintyre)). :- use_module(library(cplint_r)). :- mc. :- begin_lpad. % pcfg(LT): LT is string of terminals accepted by the grammar % pcfg(L,LT,LT0) L is a string of terminals and not terminals that derives % the list of terminals in LT-LT0 pcfg(L):- pcfg(['S'],[],_Der,L,[]). % L is accepted if it can be derived from the start symbol S and an empty % string of previous terminals pcfg([A|R],Der0,Der,L0,L2):- rule(A,Der0,RHS), pcfg(RHS,[rule(A,RHS)|Der0],Der1,L0,L1), pcfg(R,Der1,Der,L1,L2). % if there is a rule for A (i.e. it is a non-terminal), expand A using the rule % and continue with the rest of the list pcfg([A|R],Der0,Der,[A|L1],L2):- \+ rule(A,_,_), pcfg(R,Der0,Der,L1,L2). % if A is a terminal, move it to the output string pcfg([],Der,Der,L,L). % there are no more symbols to expand rule('S',Der,['S','S']):0.4; rule('S',Der,[a]):0.3; rule('S',Der,[b]):0.3. % encodes the three rules of the grammar :- end_lpad. /** ?- mc_prob(pcfg([a]),Prob). % expected result ~ 0.2986666666666667. ?- mc_prob(pcfg([b]),Prob). % expected result ~ 0.2976666666666667. ?- mc_prob(pcfg([a,a]),Prob). % expected result ~ 0.035666666666666666. ?- mc_prob(pcfg([b,b]),Prob). % expected result ~ 0.036833333333333336. ?- mc_prob(pcfg([a,b]),Prob). % expected result ~ 0.035833333333333335. ?- mc_prob(pcfg([a,b,a]),Prob). % expected result ~ 0.009. ?- mc_sample(pcfg([a,a]),1000,Prob,[successes(T),failures(F)]). % take 1000 samples of pcfg([a,a]) ?- mc_sample(pcfg([a,a]),1000,Prob),bar_r(Prob). % take 1000 samples of pcfg([a,a]) ?- mc_sample_arg(pcfg(S),20,S,Values). % take 20 samples of S in % findall(S,pcfg(S),L) ?- mc_sample_arg(pcfg(L),20,L,Values),argbar_r(Values). % take 20 samples of S in % findall(S,pcfg(S),L) */