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grail_light_cr_parse_actions.pl
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grail_light_cr_parse_actions.pl
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#!/Applications/SWI-Prolog.app/Contents/MacOS//swipl -q -t main -f
:- encoding(utf8).
:- set_prolog_flag(encoding, utf8).
:- use_module(transform_proof, [transform_proof/2]).
:- use_module(lexicon, [macro_expand/2,get_item_semantics/5]).
:- use_module(heap, [empty_heap/1,add_to_heap/4,get_from_heap/4]).
:- use_module(prob_lex, [list_atom_term/2,list_atom_term/3,remove_brackets/2]).
:- use_module(sem_utils, [substitute_sem/3,reduce_sem/2,replace_sem/4,melt_bound_variables/2,subterm/2,subterm_with_unify/2,renumbervars/1,try_unify_semantics/2,is_closed/1]).
:- use_module(latex, [latex_proof/2,latex_header/1,latex_header/2,latex_tail/1,latex_drs_semantics/2]).
:- use_module(options, [create_options/0,get_option/2,option_true/1]).
:- use_module(print_proof, [print_proof/3,xml_proof/3]).
:- use_module(ordset, [ord_subtract/3, ord_member/2, ord_insert/3, ord_subset/2, ord_key_insert/4, ord_key_insert_unify/4, ord_select/3, ord_delete/3]).
:- use_module(list_utils, [strip_keys/2,insert_nth0/4]).
:- use_module(library(pce)).
:- use_module(library(pce_util)).
:- dynamic sentence_length/1, total_formulas/1, unparsed/3, parsed/2.
:- dynamic word/3, word/4, word/5, stored/6, max_queue_size/1, justify/2.
:- dynamic crosses/3, crosses/4, constituent/3, constituent/4, current_sentence/1.
:- dynamic translate_form/2, translate_sem/2, state/2.
:- dynamic active_rule/1, vp_left/1, let_right/1, '$PROOFAXIOMS'/1.
:- compile('big_french_drt.pl').
:- dynamic '$SOLUTION'/1.
:- dynamic verbose/0, interactive/0.
:- dynamic key_index/2.
:- create_options.
quote_mode(1, 1).
display_unreduced_semantics(no).
default_depth_limit(10000).
%default_depth_limit(25000).
%output_proofs(nd).
output_proofs(chart).
% = function combining the weight of items given a rule application.
%LP% = combine two log-probabilities using sum
%LPcombine_probability(Prob0, Prob1, J, K, _R, Prob) :-
%LP /* assign penalty based on crosses tree branches */
%LP /* experimental, needs to be properly evaluated */
%LP crosses(J, K, Cross),
%LP CrossProb is log(1/(Cross+1)),
%LP Prob is Prob0 + Prob1 + CrossProb.
%LP
%LP% = take log of initial probability
%LPcompute_weight(Prob, Weight) :-
%LP Weight is log(Prob).
% = count the crossing links (subtract the crossing links since we are maximizing)
combine_probability(Prob0, Prob1, J, K, _R, Prob) :-
crosses(J, K, Cross),
(
constituent(_, J, K)
->
Const = 2
;
Const = 0
),
Prob is Prob0 + Prob1 - Cross + Const.
% Prob is Prob0 + Prob1 + Const.
% = initialize to zero for crossing links
compute_weight(_, 0).
% = Chart parse library.
%
% This library contains code adapted from the following paper:
%
% Stuart M. Shieber, Yves Schabes and Fernando C. N. Pereira (1995)
% `Principles and Implementation of Deductive Parsing', Journal of
% Logic Programming 24(1-2):3-36
%
% though with some notable additions and modifications.
% Chart items are of the form
%
% item(Formula, Left, Right, Data)
%
% where Formula is a multimodal formula, Left and Right are
% string positions representing the leftmost and the
% rightmost part of the string which was recognized as
% being of type Formula.
%
% Item data is a structure containing the following information.
%
% data(Pros, Sem, Prob, H, A, B, C, D)
%
% where Pros is the prosodic structure (representing the
% words of the string in tree form), Sem is the semantics
% of the Formula, Prob is its probabiblity, H is the head
% word. In addition, there are four stacks (two for
% infixation, two for extraction). The first is for
% parenthetical infixation, the second for the (more
% constrained) adverbs and verb-modifying pps. The
% extraction stacks are for left extraction (fairly
% rare) and right extraction.
% = main
%
% handles the command line invocation of this script; all command line arguments are treated
% as file names to be compiled and parsed (using chart_parse_all).
main :-
current_prolog_flag(os_argv, Argv),
append(_, [A|Av], Argv),
file_base_name(A, 'grail_light_cr_parse_actions.pl'),
!,
main(Av).
main([]).
main([from,A0,to,B0,F|Fs]) :-
!,
get_integer(A0, A),
get_integer(B0, B),
compile(F),
chart_parse_from_to(A,B),
main(Fs).
main([from,A0,F|Fs]) :-
!,
get_integer(A0, A),
compile(F),
chart_parse_all(A),
main(Fs).
main([to,B0,F|Fs]) :-
!,
get_integer(B0, B),
compile(F),
chart_parse_until(B),
main(Fs).
main([F|Fs]) :-
compile(F),
chart_parse_all,
main(Fs).
get_integer(N0, N) :-
integer(N0),
!,
N = N0.
get_integer(N0, N) :-
atom(N0),
!,
atom_number(N0, N).
% = parse all sentences.
chart_parse_all :-
default_depth_limit(DLimit),
chart_parse_all(1, max, DLimit).
% = parse all sentences with a given depth limit DL
chart_parse_all_dl(DL) :-
chart_parse_all(1, max, DL).
% = parse all sentences starting with SentNo
chart_parse_all(SentNo) :-
default_depth_limit(DLimit),
chart_parse_all(SentNo, max, DLimit).
% = parse all sentences until Max
chart_parse_until(Max) :-
default_depth_limit(DLimit),
chart_parse_all(1, Max, DLimit).
chart_parse_until(Max, DLimit) :-
chart_parse_all(1, Max, DLimit).
chart_parse_from_to(Start, End) :-
default_depth_limit(DLimit),
chart_parse_all(Start, End, DLimit).
chart_parse_from_to(Start, End, DLimit) :-
chart_parse_all(Start, End, DLimit).
chart_parse_all(SentNo, Max, DL) :-
retractall(unparsed(_,_,_)),
new_output_file(grail_log, log),
new_output_file(unparsed, unparsed),
new_output_file(parse_logs, plog),
new_output_file('proof.tex', proof),
new_output_file('proofs.pl', pl_proof),
set_global_counter('$CHART_CURRENT', 0),
set_global_counter('$CHART_FAIL', 0),
set_global_counter('$CHART_LIMIT', 0),
set_global_counter('$CHART_ALL', 0),
print_grail_semantics_header,
chart_parse_all0(SentNo, Max, DL),
/* cleanup after failure-driven loop has parsed all sentences */
'$CHART_ALL'(ALL),
(
ALL > 0
->
'$CHART_FAIL'(FAIL),
'$CHART_LIMIT'(LIMIT),
retractall('$CHART_ALL'(_)),
retractall('$CHART_FAIL'(_)),
retractall('$CHART_LIMIT'(_)),
Success is (ALL - FAIL) - LIMIT,
SPercentage is (100*Success)/ALL,
FPercentage is (100*FAIL)/ALL,
LPercentage is (100*LIMIT)/ALL,
format('~nFinished parsing~n~w total sentences~n~w sentences succeeded (~w %)~n~w sentences failed (~w %)~n~w resource limits (~w %)~n', [ALL,Success,SPercentage,FAIL,FPercentage,LIMIT,LPercentage])
;
format('No sentences~n', [])
),
print_grail_semantics_tail,
close(unparsed),
close(proof),
close(pl_proof),
close(plog),
close(log).
chart_parse_all0(N, Max, DL) :-
clause(user:sent(N0,_),_),
(
/* fail for sentence numbers smaller than N or bigger than Max */
N0 >= N, N0 @=< Max
->
increase_global_counter('$CHART_ALL'),
set_global_counter('$CHART_CURRENT', N0)
),
format('~nStarting: ~w~n', [N0]),
update_crossing(N0),
statistics(process_cputime, CPU0),
statistics(inferences, Inferences0),
parse_with_depth_limit(N0, Result, DL, DepthLimit),
(
DepthLimit = depth_limit_exceeded
->
try_recover_chart_semantics(N0, DL, Inferences0, CPU0)
;
Result = fail
->
print_statistics('F', N0, DepthLimit, Inferences0, CPU0),
sentence_length(Length),
assert('unparsed'(N0,Length,fail)),
portray_clause(unparsed, unparsed(N0,Length,fail)),
increase_global_counter('$CHART_FAIL'),
format('~nFailure: ~w (~w)~n', [N0,DepthLimit])
;
print_statistics('S', N0, DepthLimit, Inferences0, CPU0),
print_grail_semantics(N0, Result),
assert(parsed(N0, Result)),
format('~nSuccess: ~w (~w)~n', [N0,DepthLimit])
),
fail.
chart_parse_all0(_, _, _).
% = parse_with_depth_limit(+SentNo, -Result, +MaxDepth, -FinalDepth)
%
% parse SentNo (with semantics Result) given depth limit MaxDepth, on exit
% FinalDepth will be the maximum depth used; in case the depth limit is
% exceeded FinalDepth will be depth_limit_exceeded.
parse_with_depth_limit(N, Result, DL, DepthLimit) :-
call_with_depth_limit(parse_sentence(N, Result), DL, DepthLimit0),
(
Result = fail,
DepthLimit0 >= DL
->
DepthLimit = depth_limit_exceeded
;
DepthLimit = DepthLimit0
).
% = parse_id(+SentNo, -Result, +MaxDepth, -FinalDepth)
%
% as parse_with_depth_limit/4, but performs iterative deepening: if the
% depth limit is exceeded (while the search space is not yet exhausted)
% then the sentence is retried with a higher depth limit (1000 higher).
parse_id(N, Result, DL0, DepthLimit) :-
update_crossing(N),
parse_with_depth_limit(N, Result0, DL0, DepthLimit0),
(
DepthLimit0 = depth_limit_exceeded
->
DL is DL0 + 1000,
format('~nFailed~nNew Depth Limit: ~w~n', [DL]),
parse_id(N, Result, DL, DepthLimit)
;
Result = Result0,
DepthLimit = DepthLimit0
).
% = parse_with_time_limit(+SentNo, -Result, +Time)
%
% parses SentNo (with semantics Result) given the time limit Time, in case the time limit
% is exceeded, Result with be depth_limit_exceeded (for reasons of uniformity, no distinction
% is made between an exceeded depth or time limit).
parse_with_time_limit(N, Result, T) :-
catch(call_with_time_limit(T, parse_sentence(N, Result)), _, Result=depth_limit_exceeded).
% = parse_sentence(+SentNo, -Semantics)
%
% computes the first Semantics corresponding to sentence SentNo, returning Semantics=fail in case the
% parse is unsuccessful.
%
% In combination with call_with_depth_limit, this will return Semantics=fail in case the depth limit
% is exceeded; "fail" with values of less than the depth limit give an indication of the depth of
% the search space.
parse_sentence(N, Result) :-
(
user:sent(N, Result)
->
true
;
Result = fail
).
sentence(S, Sem) :-
update_crossing(S),
user:sent(S, Sem).
% = update_crossing(+SentNo)
%
% asserts basic facts in preparation for parsing SentNo; this includes, for each pair of string
% positions, the number of constituent boundaries it crosses.
update_crossing(S) :-
retractall(current_sentence(_)),
assert(current_sentence(S)),
retractall(crosses(_,_,_)),
retractall(constituent(_,_,_)),
% set three-argument crosses/constituent to current sentence
assert((crosses(X,Y,Z) :- crosses(S,X,Y,Z), !)),
assert((constituent(Y,Z) :- constituent(S,_,Y,Z), !)),
% default to no crosses
assertz(crosses(_,_,0)),
retractall(word(_,_,_)),
retractall(vp_left(_)),
retractall(let_right(_)),
assert((word(A,B,C) :- word(S,A,B,C))).
% = print_statistics
%
% output parse statistics to the log file
print_statistics(State, N0, DepthLimit, Inferences0, CPU0) :-
statistics(inferences, Inferences1),
statistics(process_cputime, CPU1),
CPU is CPU1 - CPU0,
Inferences is Inferences1 - Inferences0,
sentence_length(Length),
total_formulas(TotalForms),
robust_max_queue_size(MaxQ),
format(plog, '~w\t~w\t~w\t~w\t~w\t~2f\t~w\t~w\t', [N0, State, Length, TotalForms, DepthLimit, CPU, Inferences, MaxQ]),
output_rule_statistics.
% = statistics_header
%
% add header with column names to the parse logs file
statistics_header :-
check_plog_stream,
rule_counts_init(Counts),
format(plog, 'Sent\tState\tLength\tForms\tDepth\tCPU\tInfs\tQueue', []),
print_header(Counts).
% print the rule names
print_header([]) :-
nl(plog).
print_header([R-_|Rest]) :-
format(plog, '~w\t', [R]),
print_header(Rest).
% = try_recover_chart_semantics
%
% once the DepthLimit has been exceeded, check if the chart contains a solution
% and if so, recover its semantics (and count the parse as a success); if not
% the parse is added as a failure (for the current depth_limit) and noted as such.
try_recover_chart_semantics(N0, DL, Inferences, CPU) :-
final_item(Goal, Index, Sem),
item_in_chart(Goal, Index),
compute_proof(Index),
!,
increase_global_counter('$SOLUTION'),
assert(parsed(N0, Sem)),
print_grail_semantics(N0, Sem),
format('~nSuccess: ~w (MAX)~n', [N0]),
print_statistics('S', N0, DL, Inferences, CPU).
try_recover_chart_semantics(N0, DL, Inferences, CPU) :-
increase_global_counter('$CHART_LIMIT'),
sentence_length(Length),
assert('unparsed'(N0,Length,depth_limit)),
portray_clause(unparsed, unparsed(N0,Length,depth_limit)),
format('~nDepth limit exceeded: ~w~n', [N0]),
print_statistics('L', N0, DL, Inferences, CPU).
% = startsymbol(+Start, +Semantics)
%
% true if Start is a valid category for spanning the entire chart.
% Semantics is the semantic term for existantial closure and other "final" operations to produce proper DRSs
startsymbol(lit(txt), lambda(X,X)).
startsymbol(lit(s), lambda(S,merge(drs([event(E)],[]),appl(S,E)))).
startsymbol(lit(s(_)), lambda(S,merge(drs([event(E)],[]),appl(S,E)))).
startsymbol(lit(np(_,_,_)), lambda(P,appl(P,lambda(_V,drs([],[]))))).
startsymbol(lit(n), lambda(N,merge(drs([variable(X)],[]),appl(N,X)))).
startsymbol(dl(0,lit(np(_,_,_)),lit(s(_))), lambda(VP,merge(drs([event(E),variable(X)],[appl(generic,X)]),appl(appl(VP,lambda(P,appl(P,X))),E)))).
startsymbol(dl(0,lit(n),lit(n)), lambda(ADJ,merge(drs([variable(X)],[]),appl(appl(ADJ,lambda(_,drs([],[]))),X)))).
startsymbol(dr(0,lit(s),lit(s)), lambda(ADV,merge(drs([event(E)],[bool(E,=,'event?')]),appl(appl(ADV,lambda(_,drs([],[]))),E)))).
startsymbol(dr(0,lit(s(_)),lit(s(_))), lambda(ADV,merge(drs([event(E)],[bool(E,=,'event?')]),appl(appl(ADV,lambda(_,drs([],[]))),E)))).
startsymbol(lit(let), lambda(_,drs([],[]))).
chart_semantics(SemInfo0, Semantics0, Semantics) :-
(
'$PROOFAXIOMS'(PFs),
update_seminfo(SemInfo0, PFs, SemInfo)
->
true
;
/* proceed normally if no match is found */
SemInfo0 = SemInfo
),
compute_semantics(SemInfo, Subst),
substitute_sem(Subst, Semantics0, Semantics).
% = update_seminfo(+InitialEntries, +ProofAxioms, -MergedEntries)
%
% try to unify the initial lexical formulas with the axioms of the proof; this may further instantiate some
% underspecified lexical formulas.
% done when we have matched all proof axioms
update_seminfo(_, [], []) :-
!.
update_seminfo([IN-t(W,PosTT,Lemma,F)|Rest], [X-(W0-F0)|WFs], Update0) :-
(
W0 = W,
F = F0
->
Update0 = [IN-t(W,PosTT,Lemma,F)|Update],
update_seminfo(Rest, WFs, Update)
;
/* ignore axioms which don't match the given word-formula pair */
Update = Update0,
update_seminfo(Rest, [X-(W0-F0)|WFs], Update)
).
compute_semantics([], []).
compute_semantics([IN-t(W,PosTT,Lemma,F)|Rest0], [IN-Sem|Rest]) :-
get_item_semantics(W, PosTT, Lemma, F, Sem),
compute_semantics(Rest0, Rest).
print_grail_semantics_header :-
open_semantics_files,
get_option(paper_size, PaperSize),
latex_header(sem, PaperSize).
print_grail_semantics(SentN0, Sem) :-
renumbervars(Sem),
reduce_sem(Sem, RSem),
format('~nSemantics : ~p~n', [Sem]),
format('Reduced Sem : ~p~n', [RSem]),
format(log, '~n% = Semantics~2n ~W~2n', [Sem,[numbervars(true),quoted(true)]]),
format(log, '% = Reduced Semantics~2n~W~2n', [RSem,[numbervars(true),quoted(true)]]),
format(sem_pl, '~n% = Semantics~2nsemantics(~d, unreduced, ~W).~2n', [SentN0,Sem,[numbervars(true),quoted(true)]]),
format(sem_pl, '% = Reduced Semantics~2nsemantics(~d, reduced, ~W).~2n', [SentN0,RSem,[numbervars(true),quoted(true)]]),
format(sem, '~n\\begin{multline}~n', []),
(
display_unreduced_semantics(yes)
->
latex_drs_semantics(Sem, sem),
format(sem, '\\rightarrow_{\\beta}\\\\ ', [])
;
true
),
latex_drs_semantics(RSem, sem),
format(sem, '~n\\end{multline}~2n', []).
print_grail_semantics_tail :-
latex_tail(sem),
close(sem),
pdflatex_semantics.
% = prob_parse(+ListOfAxioms, -Result)
prob_parse(List, Result) :-
check_log_stream,
init_chart,
empty_heap(Heap),
list_to_chart(List, 0, Heap, Chart, [], 0, _V, SemInfo, []),
(
interactive
->
interactive_parse(Chart, Result0)
;
chart_parse(Chart, Result0)
),
chart_semantics(SemInfo, Result0, Result).
verify_word(W, N0, N) :-
word(W1, N0, N),
!,
(
W = W1
->
true
;
format('Alignment error: ~w-~w (~w-~w)~n', [W, W1, N0, N]),
format(log, 'Alignment error: ~w-~w (~w-~w)~n', [W, W1, N0, N])
).
verify_word(_, _ , _).
lemma_sequence([], N, N).
lemma_sequence([L|Ls], N0, N) :-
word(_, _, L, N0, N1),
lemma_sequence(Ls, N1, N).
% = list_to_chart
%
% convert a list of (weighted) lexical entries to an agenda.
% add the best item of each word to the agenda, while constructing a heap with
% all of the alternatives.
%
% The result is an agenda with the best items for each word from left to right
% followed by the alternatives in order of decreasing weight.
list_to_chart([], N, H, As0, As, V, V, S, S) :-
retractall(sentence_length(_)),
assert(sentence_length(N)),
add_heap_to_chart(H, As0, As).
% skip final punctuation if its formula is "boring"
%LPlist_to_chart([si(_, PUN, _, FP)], N, H, As0, As, V, V, S, S) :-
%LP is_punct(PUN),
%LP boring(FP) ,
%LP retractall(sentence_length(_)),
%LP assert(sentence_length(N)),
%LP !,
%LP add_heap_to_chart(H, As0, As).
list_to_chart([ex_si(_,_,_,_)|_], _N0, _H0, _As0, _As, _V0, _V, _S0, _S) :-
format('~N{Error: unlemmatized sentence!}~n', []),
fail.
list_to_chart([si(W,Pos,Lemma,FPs)|Ws], N0, H0, As0, As, V0, V, S0, S) :-
N1 is N0 + 1,
assert(word(W, Pos, Lemma, N0, N1)),
assert_if_verb(Pos, N0),
assert_if_let(Pos, N1),
append_item_and_update_heap(FPs, W, Pos, Lemma, N0, N1, V0, V1, S0, S1, H0, H, As0, As1),
list_to_chart(Ws, N1, H, As1, As, V1, V, S1, S).
% = add_heap_to_chart
%
% add the alternative items of the agenda by decreasing weight.
add_heap_to_chart(H0) -->
{get_from_heap(H0, _Key, Datum, H)},
!,
[Datum],
add_heap_to_chart(H).
add_heap_to_chart(_) -->
[].
% = append_item_and_update_heap
%
% adds best item to the list and all alternatives to the heap.
append_item_and_update_heap([], _, _, _, _, _, _, S, S, H, H) -->
[].
append_item_and_update_heap([F0-P|FPs], W, Pos, Lemma, N0, N1, IN0, IN, S0, S, H0, H) -->
!,
{create_item(F0, P, W, Pos, Lemma, N0, N1, IN0, S0, S1, Item),
IN1 is IN0 + 1},
[Item],
{update_heap(FPs, P, W, Pos, Lemma, N0, N1, IN1, IN, S1, S, H0, H)}.
append_item_and_update_heap([F0,P|FPs], W, Pos, Lemma, N0, N1, IN0, IN, S0, S, H0, H) -->
{create_item(F0, P, W, Pos, Lemma, N0, N1, IN0, S0, S1, Item),
IN1 is IN0 + 1},
[Item],
{update_heap(FPs, P, W, Pos, Lemma, N0, N1, IN1, IN, S1, S, H0, H)}.
% = update_heap
%
% adds items to the heap
update_heap([], _, _, _, _, _, _, IN, IN, S, S, H, H).
update_heap([F0-P|FPs], PMax, W, Pos, Lemma, N0, N1, IN0, IN, S0, S, H0, H) :-
!,
create_item(F0, P, W, Pos, Lemma, N0, N1, IN0, S0, S1, Item),
IN1 is IN0 + 1,
Key is PMax/P,
add_to_heap(H0, Key, Item, H1),
update_heap(FPs, PMax, W, Pos, Lemma, N0, N1, IN1, IN, S1, S, H1, H).
update_heap([F0,P|FPs], PMax, W, Pos, Lemma, N0, N1, IN0, IN, S0, S, H0, H) :-
create_item(F0, P, W, Pos, Lemma, N0, N1, IN0, S0, S1, Item),
IN1 is IN0 + 1,
Key is PMax/P,
add_to_heap(H0, Key, Item, H1),
update_heap(FPs, PMax, W, Pos, Lemma, N0, N1, IN1, IN, S1, S, H1, H).
% = create_item(+Formula, +Probability, +Word, +POStag, +Lemma, +Left, +Right, +ItemNo, ListIn, ListOut, -Item)
%
% construct Item based on all available information
create_item(F0, P, W, Pos, Lemma, N0, N1, IN, [word(IN)-t(W,PosTT,Lemma,F)|Ss], Ss, item(F, N0, N1, Data)) :-
macro_expand(F0, F1),
get_pos_tt(Pos, PosTT),
enrich_formula(Lemma, PosTT, F1),
correct_formula(Lemma, PosTT, F1, F),
create_data(W, F, Lemma, word(IN), P, N0, N1, Data).
% = get_semantics(+ChartItem, ?Semantics)
%
% true if ChartItem has meaning Semantics
get_semantics(item(_, _, _, Data), Sem) :-
get_data_semantics(Data, Sem).
get_data_semantics(data(_, Sem, _, _, _, _, _, _), Sem).
% = get_weight(+ChartItem, ?Weight)
%
% true if ChartItem has Weight
get_weight(item(_, _, _, Data), Weight) :-
get_data_weight(Data, Weight).
get_data_weight(data(_, _, Weight, _, _, _, _, _), Weight).
% = robust_max_queue_size(+QueueSize)
%
% computes the size of the queue; normally this is stored as a dynamic predicate max_queue_size/1.
% However, if it is not, this predicate will scan the chart to find the chart item with the
% highest value.
robust_max_queue_size(MaxQ) :-
(
max_queue_size(MaxQ)
->
true
;
robust_max_queue_size1(1000, 1000, MaxQ)
).
robust_max_queue_size1(Current, Step, MaxQ) :-
(
stored(Current, _, _, _, _, _)
->
New is Current + Step,
robust_max_queue_size1(New, Step, MaxQ)
;
NewStep is Step/10,
New is Current - Step + NewStep,
robust_max_queue_size2(NewStep, New, MaxQ)
).
robust_max_queue_size2(1, Current, MaxQ) :-
!,
(
stored(Current, _, _, _, _, _)
->
New is Current + 1,
robust_max_queue_size2(1, New, MaxQ)
;
MaxQ is Current - 1
).
robust_max_queue_size2(Step, Current, MaxQ) :-
robust_max_queue_size1(Current, Step, MaxQ).
% = is_punct(+POS)
%
% true if POS tag is an interpunction symbol
is_punct(ponct).
is_punct(pun).
is_punct(ponct-pun).
% = boring(+Entry)
%
% true if all solutions formulas assigned to a word are "boring"
boring([]).
boring([Item-_|FPs]) :-
boring_item(Item),
!,
boring(FPs).
boring([Item,_|FPs]) :-
boring_item(Item),
boring(FPs).
boring_item(let).
boring_item(dl(0,_,txt)).
boring_item(dl(0,_,lit(txt))).
% = enrich_formula(+Word, +POStag, ?Formula)
%
% given a Word-POStag pair, tries to unify Formula with a formula containing more detailed information;
% for example, Word with formula dr(0,pp(_),np) is instantiated to dr(0,pp(Word),np)
enrich_formula(à, _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(à)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula(à, _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(à)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula(à, _, dr(0,lit(pp(à)),lit(np(acc,_,_)))) :-
!.
enrich_formula(de, _, dr(0,lit(pp(de)),lit(n))) :-
!.
enrich_formula(de, _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(de)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula('d\'', _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(de)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula(de, _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(de)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula(de, _, dr(0,lit(pp(de)),lit(np(acc,_,_)))) :-
!.
enrich_formula(de, _, dr(0,lit(pp(de)),lit(n))) :-
!.
enrich_formula(par, _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(par)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula(par, _, dr(0,lit(pp(par)),lit(np(acc,_,_)))) :-
!.
enrich_formula(par, _, dr(0,lit(pp(par)),lit(n))) :-
!.
enrich_formula(pour, _, dr(0,dl(0,lit(np(_,_,_)),lit(s(inf(pour)))),dl(0,lit(np(_,_,_)),lit(s(inf(base)))))) :-
!.
enrich_formula(pour, _, dr(0,lit(pp(pour)),lit(np(acc,_,_)))) :-
!.
enrich_formula(pour, _, dr(0,lit(pp(pour)),lit(n))) :-
!.
enrich_formula(pour, _, dr(0,lit(pp(pour)),lit(s(q)))) :-
!.
enrich_formula(contre, _, dr(0,lit(pp(contre)),lit(np(acc,_,_)))) :-
!.
enrich_formula(contre, _, dr(0,lit(pp(contre)),lit(n))) :-
!.
enrich_formula(sous, _, dr(0,lit(pp(sous)),lit(np(acc,_,_)))) :-
!.
enrich_formula(sous, _, dr(0,lit(pp(sous)),lit(n))) :-
!.
enrich_formula(sur, _, dr(0,lit(pp(sur)),lit(np(acc,_,_)))) :-
!.
enrich_formula(sur, _, dr(0,lit(pp(sur)),lit(n))) :-
!.
enrich_formula(en, _, dr(0,lit(pp(en)),lit(np(acc,_,_)))) :-
!.
enrich_formula(en, _, dr(0,lit(pp(en)),lit(n))) :-
!.
enrich_formula(avant, _, dr(0,lit(pp(avant)),lit(np(acc,_,_)))) :-
!.
enrich_formula(avant, _, dr(0,lit(pp(avant)),lit(n))) :-
!.
enrich_formula(après, _, dr(0,lit(pp(après)),lit(np(acc,_,_)))) :-
!.
enrich_formula(après, _, dr(0,lit(pp(après)),lit(n))) :-
!.
enrich_formula(L, _, dr(0,lit(pp(L)),lit(np(acc,_,_)))) :-
!.
enrich_formula(L, _, dr(0,lit(pp(L)),lit(n))) :-
!.
% preposed prepositions
enrich_formula(L, _, dr(0, dr(0, lit(s(S)), dr(0, lit(s(S)), dia(1, box(1, lit(pp(L)))))), lit(np(acc,_,_)))) :-
!.
enrich_formula(L, _, dr(0, dr(0, lit(s(S)), dr(0, lit(s(S)), dia(1, box(1, lit(pp(L)))))), lit(n))) :-
!.
% = quoted speech (note that only sentence-modifier, as used here, works correctly for the entire corpus)
enrich_formula(_, ver:futu, dr(0, dl(1, lit(s(S)), lit(s(S))), lit(np(nom,_,_)))) :-
!.
enrich_formula(_, ver:pres, dr(0, dl(1, lit(s(S)), lit(s(S))), lit(np(nom,_,_)))) :-
!.
enrich_formula(_, ver:impf, dr(0, dl(1, lit(s(S)), lit(s(S))), lit(np(nom,_,_)))) :-
!.
enrich_formula(_, ver:impe, lit(s(impe))) :-
!.
enrich_formula(_, ver:_, lit(s(main))) :-
!.
enrich_formula(_, int, lit(s(main))) :-
!.
enrich_formula(_, adv, lit(s(main))) :-
!.
enrich_formula(_, ver:impe, dr(0, lit(s(impe)), lit(s(q)))) :-
!.
enrich_formula(_, ver:_, dr(0, lit(s(main)), lit(s(q)))) :-
!.
enrich_formula(_, ver:impe, dr(0, lit(s(impe)), lit(cl_r))) :-
!.
enrich_formula(_, ver:impe, dr(0,lit(s(impe)),dl(0,lit(np(nom,_,_)),lit(s(inf(_)))))) :-
!.
enrich_formula(_, ver:_, dr(0,lit(s(main)),dl(0,lit(np(nom,_,_)),lit(s(inf(_)))))) :-
!.
enrich_formula(_, prp, dr(0, dl(1, lit(s(S)), lit(s(S))), lit(np(acc,_,_)))) :-
!.
enrich_formula(_, prp, dr(0, dr(0, lit(s(S)), lit(s(S))), lit(np(acc,_,_)))) :-
!.
enrich_formula(_, pun, dr(0, dl(0, lit(np(_,_,_)), lit(s(S))), lit(s(S)))) :-
!.
enrich_formula(_, pun, dl(0, dl(0, dl(0, lit(np(_,_,_)), lit(s(_))), lit(s(S))), lit(s(S)))) :-
!.
enrich_formula(_, kon, dl(0, dl(0, lit(np(_,_,_)), lit(s(S))), lit(s(S)))) :-
!.
enrich_formula(_, ver:_, dr(0,dr(0,lit(s(main)),dl(1,lit(s(S)),lit(s(S)))),lit(np(nom,_,_)))) :-
!.
enrich_formula(le, pro:per, dr(0, _, dr(0, _, dia(1, box(1, lit(np(acc,_,3-s))))))) :-
!.
enrich_formula('l\'', pro:per, dr(0, _, dr(0, _, dia(1, box(1, lit(np(acc,_,3-s))))))) :-
!.
enrich_formula(la, pro:per, dr(0, _, dr(0, _, dia(1, box(1, lit(np(acc,_,3-s))))))) :-
!.
enrich_formula(les, pro:per, dr(0, _, dr(0, _, dia(1, box(1, lit(np(acc,_,3-p))))))) :-
!.
enrich_formula(il, pro:per, lit(np(nom,il,3-s))) :-
!.
enrich_formula('Il', pro:per, lit(np(nom,il,3-s))) :-
!.
enrich_formula('-il', pro:per, lit(np(nom,il,3-s))) :-
!.
enrich_formula('-t-il', pro:per, lit(np(nom,il,3-s))) :-
!.
enrich_formula(ce, pro:per, lit(np(nom,ce,3-s))) :-
!.
enrich_formula('c\'', pro:per, lit(np(nom,ce,3-s))) :-
!.
enrich_formula('-ce', pro:per, lit(np(nom,ce,3-s))) :-
!.
enrich_formula('Ce', pro:per, lit(np(nom,ce,3-s))) :-
!.
enrich_formula('C\'', pro:per, lit(np(nom,ce,3-s))) :-
!.
enrich_formula(_, _, _).
% = correct_formula(+Lemma, +TTPostag, +Formula, -CorrectedFormula)
%
% sometimes, the correct formula translation is decided in part by the POS-tag (eg. for an imperative, the argument np is an
% accusative instead of a nominative); this predicate corrects the formula based on the POS-tag information; defaults to
% leaving the formula as is
correct_formula(_, pro:rel, dl(0, dr(0, dl(0, lit(np(A,B,C)), lit(s(main))), lit(np(D,E,F))), lit(s(whq))),
dl(0, dr(0, dl(0, lit(np(A,B,C)), lit(s(_))), lit(np(D,E,F))), lit(s(whq)))) :-
!.
correct_formula(_, adv, dr(0, dl(0, lit(np(nom, A, B)), lit(s(main))), lit(s(q))), dr(0, dl(0,lit(np(nom,A,B)), lit(s(_))), lit(s(q)))) :-
!.
correct_formula(_, ver:impe, dr(0, lit(s(_)),lit(np(nom,A,B))), dr(0, lit(s(impe)), lit(np(acc,A,B)))) :-
!.
correct_formula(_, ver:impe, dr(0, dr(0, lit(s(_)),lit(np(nom,A,B))), lit(pp(P))), dr(0, dr(0, lit(s(impe)), lit(np(acc,A,B))), lit(pp(P)))) :-
!.
correct_formula(_, ver:impe, dr(0, dr(0, lit(s(_)), lit(pp(P))),lit(np(nom,A,B))), dr(0, dr(0, lit(s(impe)), lit(pp(P))), lit(np(acc,A,B)))) :-
!.
correct_formula(_, ver:impe, dr(0, dr(0, lit(s(_)), lit(s(Q))), lit(np(nom,A,B))), dr(0, dr(0, lit(s(impe)), lit(s(Q))), lit(np(acc,A,B)))) :-
!.
correct_formula(_, ver:impe, dr(0, dr(0, lit(s(_)), dl(0, lit(n), lit(n))), lit(np(nom,A,B))), dr(0, dr(0, lit(s(_)), dl(0, lit(n), lit(n))), lit(np(acc,A,B)))) :-
!.
correct_formula(_, ver:impe, dr(0, dr(0, lit(s(_)), dl(0,lit(np(nom,A,B)), lit(s(inf(C))))), lit(cl_r)),
dr(0, dr(0, lit(s(impe)), dl(0,lit(np(nom,A,B)), lit(s(inf(C))))), lit(cl_r))) :-
!.
correct_formula(_, ver:infi, dr(0, dl(0, lit(np(nom,A,B)), lit(s(inf(_)))), dl(0,lit(np(nom,A,B)), lit(s(inf(C))))),
dr(0, dl(0, lit(np(nom,A,B)), lit(s(inf(base)))), dl(0,lit(np(nom,A,B)), lit(s(inf(C)))))) :-
!.
% "faire echo/allusion/partie"
correct_formula(faire, ver:_, dr(0,dr(0,dr(0,lit(s(A)),lit(np(acc,B,C))),lit(pp(D))),lit(np(nom,E,F))),
dr(0,dr(0,dr(0,lit(s(A)),lit(np(nom,B,C))),lit(pp(D))),lit(np(acc,E,F)))).
% "donner lieu"
correct_formula(donner, ver:_, dr(0,dr(0,dr(0,lit(s(A)),lit(np(acc,B,C))),lit(pp(D))),lit(np(nom,E,F))),
dr(0,dr(0,dr(0,lit(s(A)),lit(np(nom,B,C))),lit(pp(D))),lit(np(acc,E,F)))).
%correct_formula(ver:_, dr(0, dl(1, lit(s(_)), lit(s(S2))), lit(np(_,A,B))), dr(0, dl(1, lit(s(S1)), lit(s(S2))), lit(np(nom,A,B)))
correct_formula(_, _, F, F).
get_pos_tt(Pos, PosTT) :-
(
Pos = _Melt0-Pos0:Sub
->
PosTT = Pos0:Sub
;
Pos = _Melt1-PosTT
->
true
;
PosTT = Pos
).
% =
chart_parse(Axioms, Sem) :-
init_agenda(Axioms, Agenda),
active_rules(Axioms),
(
/* succeed for empty sentences (eg. interpunction only) */
Agenda = queue(0,0)
->
Sem = drs([],[])
;
exhaust(Agenda),
check_solution(Sem)
).
% = active_rules(+Axioms)
%
% check all formulas used in the axioms and activate only the chart inferences
% which are required by these rules (eg. the gapping rules and products rules
% are useful only when there is a gap formula or a product formula in the
% axioms.
%
% TODO: it is worth thinking about a smarter version of this type of
% rule restriction by constraining the rules which can apply given a
% certain span of the active formulas.
active_rules(Axioms) :-
all_rules_triggers(Axioms, List, []),
sort(List, Set),
retractall(active_rule(_)),
% "dr" and "dl" are always active
assert(active_rule(dr)),
assert(active_rule(dl)),
assert_active_rules(Set).
all_rules_triggers([]) -->
[].
all_rules_triggers([item(F,_,_,_)|As]) -->
rules_trigger(F),
all_rules_triggers(As).
assert_active_rules([]).
assert_active_rules([R|Rs]) :-
assert(active_rule(R)),
assert_active_rules(Rs).
all_active_rule_statistics :-
clause(sent(_Number, Sem), prob_parse(List, Sem)),
all_active_rule_statistics(List),
fail.
all_active_rule_statistics.
all_active_rule_statistics(List) :-
init_chart,
empty_heap(Heap),
list_to_chart(List, 0, Heap, Axioms, [], 0, _V, _SemInfo, []),
all_active_rule_statistics1(Axioms).
% TODO: complete!
all_active_rule_statistics1([]).
all_active_rule_statistics1([item(F,_,_,_)|As]) :-
rules_trigger(F, L, []),
sort(L, Set),
do_something_with(Set),
all_active_rule_statistics1(As).
% = rules_trigger(+Formula, -ListOfInferences)
%
% given a formula, provide a list (with possible repetitions) of all special chart inference which we (may) need
% to apply (besides dl and dr) in order to complete the chart.
rules_trigger(lit(let)) -->
!,
[let],
[wr].
rules_trigger(dl(0, lit(cl_r), dl(I, lit(s(_)), dr(0, lit(s(_)), lit(np(_,_,_)))))) -->
{I > 0},
[wr],
[wr_a],
[wpop],
[e_endd],
[dit_np],
[se_dit].
rules_trigger(dl(I,_,dl(0,lit(np(_,_,_)),lit(s(_))))) -->
{I > 0},
!,
[wr],
[wr_a],
[wpop],
[a_dit],
[e_endd],
[dit_np],
[se_dit].
rules_trigger(dl(I,_,dl(0,lit(cl_r),dl(0,lit(np(_,_,_)),lit(s(_)))))) -->
{I > 0},
!,
[wr],
[wr_a],
[wpop],
[e_endd],
[a_dit],
[a_dit_se],
[dit_np],
[se_dit].
rules_trigger(dl(I,_,_)) -->
{I > 0},
!,
[wr],