% =================================================================== % File 'parser_e2c.pl' % Purpose: Attempto Controlled English to CycL conversions from SWI-Prolog % This implementation is an incomplete proxy for CycNL and likely will not work as well % Maintainer: Douglas Miles % Contact: $Author: dmiles $@users.sourceforge.net ; % Version: 'parser_e2c.pl' 1.0.0 % Revision: $Revision: 1.3 $ % Revised At: $Date: 2002/06/06 15:43:15 $ % =================================================================== :- shared_parser_data(in_continent/2). :- use_module(library(clpr)). :- install_constant_renamer_until_eof. :- set_prolog_flag(do_renames_sumo,never). /* _________________________________________________________________________ | Copyright (C) 1982 | | | | David Warren, | | SRI International, 333 Ravenswood Ave., Menlo Park, | | California 94025, USA; | | | | Fernando Pereira, | | Dept. of Architecture, University of Edinburgh, | | 20 Chambers St., Edinburgh EH1 1JZ, Scotland | | | | This program may be used, copied, altered or included in other | | programs only for academic purposes and provided that the | | authorship of the initial program is aknowledged. | | Use for commercial purposes without the previous written | | agreement of the authors is forbidden. | |_________________________________________________________________________| */ :-discontiguous(verb_type_db_0/2). :-discontiguous(verb_root_db/1). :-discontiguous(verb_form_db/4). :-discontiguous(trans_LF/9). :-discontiguous(regular_pres_db/1). :-discontiguous(regular_past_db/2). :-discontiguous(noun_form_db/3). :-discontiguous(loc_pred_prep_db/3). :- style_check(+discontiguous). :- style_check(-discontiguous). :- op(600,xfy,(('--'))). :- op(450,xfy,((:))). :- op(400,xfy,((&))). :- op(300,fx,(('`'))). :- op(200,xfx,(('--'))). :-shared_parser_data((trans_LF/9)). :-retractall(nldata_BRN_WSJ_LEXICON:text_bpos(the,nn)). % :- begin_dynamic_reader. :- asserta((t_l:enable_src_loop_checking)). deduce_subj_obj_LF(PropAttrib,Adj,Type,X,TypeY,Y,H):-subj_obj_LF(PropAttrib,Adj,Type,X,TypeY,Y,H). deduce_subject_LF(RS,Adj,Type,X,P):-subject_LF(RS,Adj,Type,X,P). verb_type_db(Verb,Type):-no_repeats(verb_type_db_0(Verb,Type)). txt_there_db(there,there). txt_not_db(not,not). % txt_not_db(never,never). :- must( \+ is_pfc_file). parser_chat80:txt_no_db(not,not). txt_no_db(no,no). :- listing(txt_no_db/2). % ================================================================= % General Dictionary % LEXICAL Data from newdic.pl terminator_db(.,_). terminator_db(?,?). terminator_db(!,!). % plt:-! ,fail. plt:- t_l:usePlTalk,!. plt2:- t_l:useAltPOS,!. % plt:- t_l:chat80_interactive,!. loop_check_chat80(Call):-loop_check_chat80(Call,fail). loop_check_chat80(Call,Else):-loop_check(Call,Else). not_violate(NotCCW,POS):-loop_check(not_violate0(NotCCW,POS)). not_violate0(NotCCW,POS):-loop_check_chat80((ccw_db(NotCCW,CC)->CC=POS;true),fail). :-meta_predicate(plt_call(+,+,0)). :-meta_predicate(plt2_call(+,+,0)). % plt_call(Goal):-plt,!,no_repeats(Goal),dmsg(succeed_plt_call(Goal)). plt_call(NotCCW,_POS,_Goal):-member(NotCCW,['?','river','borders']),!,fail. plt_call(NotCCW,POS,Goal):-plt,!,loop_check_chat80(no_repeats(Goal)),not_violate(NotCCW,POS),must(once(not_violate(NotCCW,POS);(dmsg(succeed_plt_call(NotCCW,POS,Goal)),!,fail))). plt2_call(NotCCW,_POS,_Goal):-member(NotCCW,['?','river','borders']),!,fail. plt2_call(NotCCW,POS,Goal):-plt2,!,loop_check_chat80(no_repeats(Goal)),not_violate(NotCCW,POS),must(once(not_violate(NotCCW,POS);(dmsg(succeed_plt_call(NotCCW,POS,Goal)),!,fail))). adverb_db(Quickly):-plt,talk_db(adv,Quickly),not_ccw(Quickly). conj_db(and). conj_db(or). conj_db(But):- cycQuery80(partOfSpeech(_,'CoordinatingConjunction',But)). :- listing(conj_db). :- do_renames( ((conj_db(But):- cycQuery80(partOfSpeech(Blank,'CoordinatingConjunction',But)))), Out), must((conj_db(But):- cycQuery80(partOfSpeech(Blank,'xtCoordinatingConjunction',But)))==Out). int_pron_db(what,undef). int_pron_db(which,undef). int_pron_db(who,subj80). int_pron_db(whom,compl). int_art_db(how,X,_,int_det(X)). int_art_db(what,X,_,int_det(X)). int_art_db(which,X,_,int_det(X)). det_db(the,No,the(No),def). det_db(a,sg,a,indef). det_db(an,sg,a,indef). det_db(every,sg,every,indef). det_db(some,_,some,indef). det_db(any,_,any,indef). det_db(all,pl,all,indef). det_db(each,sg,each,indef). det_db(no,_,no,indef). det_db(Det):-det_db(Det,_,_,_). det_db(W):-det_db0(W), \+ det_db(W,_,_,_), dif(CCW,'Determiner'), \+ ccw_db(W,CCW). det_db0(W):- (cycQuery80('determinerStrings'(_,W));cyckb_t('determinerStrings',_,W)),atom(W). :- listing(det_db/1). number_db(W,I,Nb) :- tr_number(W,I), ag_number(I,Nb). tr_number(nb(I),I). tr_number(one,1). tr_number(two,2). tr_number(three,3). tr_number(four,4). tr_number(five,5). tr_number(six,6). tr_number(seven,7). tr_number(eight,8). tr_number(nine,9). tr_number(ten,10). ag_number(1,sg). ag_number(N,pl) :- N>1. quantifier_pron_db(everybody,every,person). quantifier_pron_db(everyone,every,person). quantifier_pron_db(everything,every,thing). quantifier_pron_db(somebody,some,person). quantifier_pron_db(someone,some,person). quantifier_pron_db(something,some,thing). quantifier_pron_db(anybody,any,person). quantifier_pron_db(anyone,any,person). quantifier_pron_db(anything,any,thing). quantifier_pron_db(nobody,no,person). quantifier_pron_db(nothing,no,thing). prep_db(as). prep_db(at). noun_plu_db(times,time). %noun_plu_db(Liaisons, Liaison):- plt, lexicon_interface:noun_pl(Liaisons, Liaison, _Human). adverb_db(yesterday). adverb_db(tomorrow). prep_db(of). prep_db(to). prep_db(by). prep_db(with). prep_db(in). prep_db(on). prep_db(from). prep_db(into). prep_db(through). prep_db(Above):-plt,talk_db(preposition,Above). noun_form_db(Plu,Sin,pl) :- noun_plu_db(Plu,Sin),not_ccw(Plu). noun_form_db(Sin,Sin,sg) :- noun_sin_db(Sin),not_ccw(Sin). verb_form_db(V,V,inf,_) :- verb_root_db(V). verb_form_db(V,V,pres+fin,Agmt) :- regular_pres_db(V), root_form_db(Agmt), verb_root_db(V). verb_form_db(Past,Verb,past+_,_) :- regular_past_db(Past,Verb). root_form_db(1+sg). root_form_db(2+_). root_form_db(1+pl). root_form_db(3+pl). verb_root_db(BE):-aux_verb_root_db(BE). aux_verb_root_db(be). aux_verb_root_db(have). aux_verb_root_db(do). verb_form_db(am,be,pres+fin,1+sg). verb_form_db(are,be,pres+fin,2+sg). verb_form_db((is),be,pres+fin,3+sg). verb_form_db(are,be,pres+fin,_+pl). verb_form_db(was,be,past+fin,1+sg). verb_form_db(were,be,past+fin,2+sg). verb_form_db(was,be,past+fin,3+sg). verb_form_db(were,be,past+fin,_+pl). verb_form_db(been,be,past+part,_). verb_form_db(being,be,pres+part,_). verb_type_db_0(be,aux+be). regular_pres_db(have). regular_past_db(had,have). verb_form_db(has,have,pres+fin,3+sg). verb_form_db(having,have,pres+part,_). verb_type_db_0(have,aux+have). regular_pres_db(do). verb_form_db(does,do,pres+fin,3+sg). verb_form_db(did,do,past+fin,_). verb_form_db(doing,do,pres+part,_). verb_form_db(done,do,past+part,_). verb_type_db_0(do,aux+ditrans(_Prep)). % ================================================================= % PRONOUN DB % ================================================================= pron_db(W):-rel_pron_db(W,_). pron_db(W):-poss_pron_db(W,_,_,_). pron_db(W):-pers_pron_db(W,_,_,_,_). pron_db(W):-int_pron_db(W,_). pron_db(W):-quantifier_pron_db(W,_,_). rel_pron_db(who,subj80). rel_pron_db(whom,compl). rel_pron_db(which,undef). poss_pron_db(my,_,1,sg). poss_pron_db(your,_,2,_). poss_pron_db(his,masc,3,sg). poss_pron_db(her,fem,3,sg). poss_pron_db(its,neut,3,sg). poss_pron_db(our,_,1,pl). poss_pron_db(their,_,3,pl). pers_pron_db(i,_,1,sg,subj80). pers_pron_db(you,_,2,_,_). pers_pron_db(he,masc,3,sg,subj80). pers_pron_db(she,fem,3,sg,subj80). pers_pron_db(it,neut,3,sg,_). pers_pron_db(we,_,1,pl,subj80). % dmiles added pers_pron_db(they,_,3,pl,subj80). % dmiles removed % pers_pron_db(them,_,3,pl,subj80). pers_pron_db(me,_,1,sg,compl(_)). pers_pron_db(him,masc,3,sg,compl(_)). pers_pron_db(her,fem,3,sg,compl(_)). pers_pron_db(us,_,1,pl,compl(_)). pers_pron_db(them,_,3,pl,compl(_)). how_many_db([how,many]). pronoun_LF(_Argree2B,_C,_MoreIn,_X,_Y,_MoreOut,_PronounType):-fail. pronoun_LF(Argree2B,FemMasc,MoreIn,X,Y,[adj(Argree2B)|MoreIn],typeOf(FemMasc,Argree2B,X,Y)):-!,fail,trace. % ================================================================= % PROPER INSTANCES OF % ================================================================= noun_plu_db(places,place). noun_plu_db(P,S):-plt,talk_db(noun1,S,P). noun_plu_db(continents,continent). noun_plu_db(oceans,ocean). noun_plu_db(regions,region). noun_plu_db(rivers,river). noun_plu_db(seas,sea). noun_plu_db(seamasses,seamass). % should inhereit from e2c % ========================================================== % meetsForm(String,CycWord,Form) % ========================================================== meetsForm80(String,RootString,form80(MainPlusTrans,main+tv)):-!,fail,nop((String,RootString,form80(MainPlusTrans,main+tv))). noun_plu_db(PluralString,SingularString):- meetsForm80(PluralString,SingularString,noun+plural). noun_sin_db(Singular):- meetsForm80(Singular,Singular,noun+singular). noun_sin_db(Singular):- noun_plu_db(_,Singular). noun_sin_db(InWord):- var(InWord),!,freeze(InWord,noun_sin_db(InWord)). % noun_sin_db(InWord):- var(InWord),!,freeze(InWord,noun_sin_db(InWord)). subject_LF(thing,continent,feature&place&continent,X,continent(X)). subject_LF(thing,ocean,feature&place&seamass,X,ocean(X)). subject_LF(thing,river,feature&river,X,river(X)). subject_LF(thing,sea,feature&place&seamass,X,sea(X)). subject_LF(thing,seamass,feature&place&seamass,X,seamass(X)). subject_LF(thing,region,feature&place&_,X,region80(X)). /* WHICH WHICH DENOTES A */ subject_LF(thing,place,feature&place&_,X,place(X)). /* WHICH EXISTENCE STEMS FROM A */ place(X) :- continent(X); region80(X); seamass(X); country(X). region80(R) :- in_continent(R,_). continent(africa). continent(america). continent(antarctica). continent(asia). continent(australasia). continent(europe). circle_of_latitude(equator). circle_of_latitude(tropic_of_cancer). circle_of_latitude(tropic_of_capricorn). circle_of_latitude(arctic_circle). circle_of_latitude(antarctic_circle). seamass(X) :- ocean(X). seamass(X) :- sea(X). ocean(arctic_ocean). ocean(atlantic). ocean(indian_ocean). ocean(pacific). ocean(southern_ocean). sea(baltic). sea(black_sea). sea(caspian). sea(mediterranean). sea(persian_gulf). sea(red_sea). river(R) :- river_pathlist(R,_L). ==>in_continent(north_america, america). % ------------------------------ % "Whoable Count Nouns" % ------------------------------ noun_plu_db(persons,person). noun_plu_db(people,person). subject_LF(thing,person,_,X,person(X)). /* A CAPITOL (IS NOT _JUST_ A PLACE) */ noun_plu_db(capitals,capital). subject_LF(thing,capital,feature&city,X,capital(X)). subj_obj_LF(property,capital,feature&city,X,feature&place&country,Y, capital(Y,X)). capital(C,Cap) :- country(C,_,_,_,_,_,Cap,_). capital(C) :- capital(_X,C). /* IS A SPECIALIZATION OF A CITY ... */ noun_plu_db(cities,city). subject_LF(thing,city,feature&city,X,city(X)). city(C) :- city(C,_,_). :- show_shared_pred_info(city/1). :- dynamic(city/3). city(tehran,iran,1010). :- show_shared_pred_info(city/3). /* THAT INVOKES GOVERNING ACTIONS ... */ trans_LF(govern,feature&_,X,feature&place&country,Y,capital(Y,X),[], _,_). :- show_shared_pred_info((trans_LF/9)). verb_root_db(govern). regular_pres_db(govern). regular_past_db(governed,govern). verb_form_db(governs,govern,pres+fin,3+sg). verb_form_db(governing,govern,pres+part,_). verb_type_db_0(govern,main+tv). /* UPON A COUNTRY */ noun_plu_db(countries,country). subject_LF(thing,country,feature&place&country,X,country(X)). country(C) :- country(C,_,_,_,_,_,_,_). country(iran,middle_east,33,-53,636363,32001000,tehran,rial). % ================================================================= % A PROPERTY IS SPECIALIZION OF A MPRED THAT IS PRESENT ON TYPE % ================================================================= noun_plu_db(types,type). subject_LF(thing,type,feature&type&_,X,tSet(X)). noun_plu_db(formattypes,formattype). noun_plu_db(datatypes,datatype). subject_LF(thing,formattype,feature&formattype&_,X,ttFormatType(X)). noun_plu_db(TS,T):- noun_plu_db_via_types(TS,T). subject_LF(thing,Type,TYPEMASK,X,isa(X,Type)):- plt,loop_check(tSet(Type)),atom(Type),gen_typemask(Type,TYPEMASK). subject_LF(restriction,Type,TYPEMASK,X,isa(X,Type)):- plt,loop_check(tSet(Type)),atom(Type),gen_typemask(Type,TYPEMASK). gen_typemask(Type,measure&Type&_):-ttFormatType(Type),!. gen_typemask(Type,feature&Type&_). gen_typemask(_,feature&_). noun_plu_db_via_types(TS,T):- maybe_noun_or_adj(T),maybe_noun_or_adj(TS), (atom(TS)->atom_concat(T,'s',TS);true),tSet(T),atom(T),atom_concat(T,'s',TS). maybe_noun_or_adj(T):- var(T)->true;(atom(T),not_ccw(T)). % %TODO chat80("how many types are there?"). %TODO chat80("what formattypes are types?"). chat80([which,is,the,largest,african,country,?]). %TODO chat80("how are you?"). % test_chat80("you flow"). %test_chat80(U):- locally(t_l:chat80_interactive, must(chat80(U))). t10:- test_chat80("how many postures are there?"), test_chat80("what are the postures?"), test_chat80("how many oceans are seas?"), test_chat80("how many oceans are seamasses?"), test_chat80("how many types are there?"), test_chat80("how many formattypes are there?"), test_chat80("how many formattypes are there?"), !. /* A PROPERTY */ noun_plu_db(properties,property). subject_LF(thing,property,feature&mpred,X,isa_objectProperty(X)). subj_obj_LF(property,property,feature&mpred,X,feature&type&_,Y, hasPropertyOrValueISA(Y,X)). /* IS A SPECILIZATION OF A MPRED */ noun_plu_db(mpreds,mpred). subject_LF(thing,mpred,feature&mpred,X,mpred(X)). isa_objectProperty(P) :- hasProperty(_,P). hasPropertyOrValueISA(T,PorV):- (PorV=P;PorV=V), hasPropertyValueSVO(T,P,V),(PorV=P;PorV=V). hasPropertyOrValueISA(T,PorV):- isa(PorV,T). hasProperty(Type,P):-no_repeats((Type-P),hasPropertyValueSVO(Type,P,_)). hasPropertyValueSVO(SomeType,P,SomeVType):-mpred_arity(P,A),A>=2, cycQuery80(argIsa(P,1,SomeType)),cycQuery80(argIsa(P,A,SomeVType)). hasPropertyValueSVO(Type,P,Area) :- subj_obj_LF(property,Area,_Measure&Area,_X,feature&TYPELIST,_Y,Pred),deepestType(TYPELIST,Type),get_1st_order_functor(Pred,P),deepestType(TYPELIST,Type). get_1st_order_functor(Pred,P):-not(compound(Pred)),!,P=Pred. get_1st_order_functor(Pred,P):-get_functor(Pred,F),(is_2nd_order_holds(F)->((arg(1,Pred,A),!,get_1st_order_functor(A,P)));P=F). /* THAT IS HAD */ /* trans_LF(has,feature&mpred,X,feature&type,Y,hasProperty(Y,X),[], _,_). verb_root_db(has). regular_pres_db(has). regular_past_db(had,has). verb_form_db(has,has,pres+fin,3+sg). verb_form_db(having,has,pres+part,_). verb_type_db_0(has,main+tv). */ /* BY SOME TYPE */ deepestType(TYPE,_):-var(TYPE),!,fail. deepestType(TYPE&Next,Type):-var(Next),!,Type=TYPE. deepestType(_&LIST,Type):-!,deepestType(LIST,Type). deepestType(TYPE,Type):-Type=TYPE. typeAssignableTo(Type,SomeType):-transitive_subclass(Type,SomeType). typeAssignableTo(_Type,SomeType):-ttFormatType(SomeType). % TODO DECIDE IF UNEEDED hook:fact_always_true(isa(Type,type)):- clause(subject_LF(thing,Type,feature&_,_X,_),true). % TODO DECIDE IF UNEEDED hook:fact_always_true(isa(Type,type)):- clause(subject_LF(restriction,Type,feature&_,_X,_),true). type_allowed(feature&TYPEMASK,Type):-nonvar(TYPEMASK),!,type_allowed(TYPEMASK,Type),!. type_allowed(TM,Type):-gen_typemask(Type,TM). type_allowed0(NV&TypeM,Type):-nonvar(NV),!,type_allowed(TypeM,Type). type_allowed0(TypeM,Type):-Type==TypeM,!. type_allowed0(TypeM&_,Type):- Type==TypeM,!. % ================================================================= % Having Referant Proper nouns % ================================================================= :- shared_parser_data(name_template_db/2). name_db([black,sea],black_sea). name_db([upper,volta],upper_volta). name_db([Name],Name) :- name_template_db(Name,_), !. %name_db([Name],Name) :- t_l:useAltPOS,downcase_atom(Name,DCName),loop_check(not(cw_db(DCName,_))). name_template_db(X,feature&circle) :- circle_of_latitude(X). name_template_db(X,feature&city) :- city(X). name_template_db(X,feature&place&continent) :- continent(X). name_template_db(X,feature&place&country) :- country(X). name_template_db(X,feature&place&_) :- region80(X). name_template_db(X,feature&river) :- river(X). name_template_db(X,feature&place&seamass) :- seamass(X). name_template_db(X,feature& ISA) :- plt, nonvar(ISA), isa(X,ISA). name_template_db(X,feature& ISA & _) :- plt, nonvar(ISA), isa(X,ISA). name_template_db(X,feature& _ & ISA ) :- plt, nonvar(ISA), isa(X,ISA). :- show_shared_pred_info(name_template_db/2). % ================================================================= % FACETS (Adjectives) % ================================================================= subject_LF(restriction,happy,feature&_,X,isa(X,adjColFn(happy))). subject_LF(restriction,african,feature&_,X,african(X)). subject_LF(restriction,american,feature&_,X,american(X)). subject_LF(restriction,asian,feature&_,X,asian(X)). subject_LF(restriction,european,feature&_,X,european(X)). african(X) :- in_ploc(X,africa). american(X) :- in_ploc(X,america). asian(X) :- in_ploc(X,asia). european(X) :- in_ploc(X,europe). adj_db(happy,restr). adj_db(african,restr). adj_db(american,restr). adj_db(asian,restr). adj_db(european,restr). not_ccw(W):-not(ccw_db1(W,_)),!. % closed class words ccw_db(W,C):-no_repeats(ccw_db0(W,C);ccw_db3(W,C)). ccw_db0(W,C):-one_must(ccw_db1(W,C),ccw_db2(W,C)). ccw_db1(W,'Number-SP'):-no_repeats(W,number_db(W,_,_)). ccw_db1(W,'Symbol-SP'):-no_repeats(W,terminator_db(W,_)). ccw_db1(W,'Preposition'):-prep_db(W),not(ccw_db1(W,'Determiner')). ccw_db1(W,'Pronoun'):-pron_db(W). ccw_db1(W,'Conjunction'):-conj_db(W). ccw_db1(W,'Determiner'):-det_db(W). ccw_db1(W,'Conjunction'):-no_repeats(W,cycQuery80(partOfSpeech(_,'SubordinatingConjunction',W))). ccw_db1(W,'Pronoun'):-no_repeats(W,cyckb_t('pronounStrings',_,W)). ccw_db2(W,'Preposition'):-no_repeats(W,talk_db(preposition,W)). ccw_db3(W,C):-ccw_db4(W,C),not(loop_check(adj_db(W,_))),not_ccw(W). ccw_db4(W,'Verb'):-nonvar(W),verb_form_db(W,_,pres+_,_),!. ccw_db4(W,'Verb'):-verb_form_db(W,_,pres+_,_). compatible_pos_db(_MostLikley,_Wanted). cw_db(W,C):-deepen_pos(cw_db_code(W,C)). cw_db_code(W,C):-ccw_db(W,C). cw_db_code(W,C):-nonvar(W),!,cw_db0(W,WC),!,C=WC. cw_db_code(W,C):-cw_db0(W,C). cw_db0(W,C):-one_must(cw_db1(W,C),cw_db2(W,C)). cw_db1(W,C):-ccw_db(W,C). cw_db1(W,C):-ocw_db(W,C),dif(C,OC),not(ocw_db(W,OC)). cw_db2(W,C):-one_must(ocw_db0(W,C),ocw_db1(W,C)). ocw_db(W,'Verb'):-no_repeats(W,(verb_form_db(W,_,_,_),not(ccw_db(W,CCW)),CCW\=W)). ocw_db(W,C):-ocw_db0(W,C). ocw_db0(W,C):-one_must(ocw_db1(W,C),ocw_db3(W,C)). ocw_db1(W,'Interjection'):-talk_db(interj,W). ocw_db1(W,'Adverb'):-adverb_db(W),not(ocw_db2(W,_)). ocw_db1(W,C):-ocw_db2(W,C),not_ccw(W). ocw_db2(W,'Noun'):-noun_plu_db(W,_). ocw_db2(W,'Adjective'):-adj_db(W,_). ocw_db2(W,'Noun'):-noun_plu_db(_,W). ocw_db3(W,SPOS):- cycQuery80('suffixString'(CycWord,String)),String\='',atom_concat(_First,String,W),cycQuery80('derivationalAffixResultPOS'(CycWord,POS)),simplePOS(POS,SPOS). simplePOS(POS,SIMP):-posName(SIMP),atom_concat(_,SIMP,POS). subject_LF(restriction,AdjNounEan,feature&_,X,adjIsa(X,AdjNounEan)):- plt, adj_db(AdjNounEan,restr),not_ccw(AdjNounEan). adjIsa(E,C):- satisfy(isa_backchaing(E,C)). adj_db(AdjNounEan,restr):- plt,talk_db(adj,AdjNounEan),talk_db(noun1,AdjNounEan,_). adj_db(AdjRestr,restr):-plt,talk_db(adj,AdjRestr),not(adj_db(AdjRestr,quant)),not(adverb_db(AdjRestr)). adj_db(AdjRestr,restr):-meetsForm80(AdjRestr,AdjRestr,form80(adj+restr)). verb_type_db_0(Verb,main+tv) :-plt, trans_LF(Verb,_,_,_,_,_,_,_,_). verb_type_db_0(Verb,main+iv):-plt, intrans_LF(Verb,_,_,_,_,_). verb_type_db_0(Verb,main+ditrans(_Prep)):- plt, ditrans_LF(Verb,_,_,_,_,_,_,_,_,_,_,_). verb_type_db_0(Verb,main+tv):- plt, talk_db(transitive,Verb,_,_,_,_). verb_type_db_0(Verb,main+iv):-plt, talk_db(intransitive,Verb,_,_,_,_). :-style_check(-singleton). verb_root_db(Govern):-plt,talk_db(_Verb_i,Govern,_Governs,_GovernedImperfect,_Governing,_Governed). regular_pres_db(Govern):-plt,talk_db(_,Govern,_Governs,_GovernedImperfect,_Governing,_Governed). regular_past_db(Governed,Govern):-plt,talk_db(_,Govern,_Governs,_GovernedImperfect,_Governing,Governed). verb_form_db(Active,Verb,pres+part,_):-plt,talk_db(_,Verb,VerbPL,Imperfect,Active,PastPart). verb_form_db(VerbPL,Verb,pres+fin,3+sg):-plt,talk_db(_,Verb,VerbPL,Imperfect,Active,PastPart). verb_form_db(Imperfect,Verb,past+fin,_):-plt,talk_db(_,Verb,VerbPL,Imperfect,Active,PastPart). verb_form_db(PastPart,Verb,past+part,_):-plt,talk_db(_,Verb,VerbPL,Imperfect,Active,PastPart). verb_root_db(Verb):-meetsForm80(Verb,Verb,form80(verb+root)). verb_root_db(Verb):-meetsForm80(Verb,Verb,form80(3+sg)). verb_type_db_0(Verb,MainPlusTrans):-verb_root_db(Verb),meetsForm80(_Form,Verb,form80(MainPlusTrans,main+tv)). regular_pres_db(Verb):- meetsForm80(Verb,Verb,form80(regular_pres)). regular_past_db(Form,Verb):- meetsForm80(Form,Verb,form80(regular_past)). verb_form_db(Form,Verb,AsPresFin,As3_plus_sin):- meetsForm80(Form,Verb,form80(AsPresFin,pres+fin)), meetsForm80(Verb,Verb,form80(As3_plus_sin,3+sg)). verb_form_db(Form,Verb,TensePlusPart,_):- meetsForm80(Form,Verb,form80(TensePlusPart)). regular_pres_db(Verb):- verb_root_db(Verb). :-style_check(+singleton). verb_root_db(border). regular_pres_db(border). regular_past_db(bordered,border). verb_form_db(borders,border,pres+fin,3+sg). verb_form_db(bordering,border,pres+part,_). verb_type_db_0(border,main+tv). trans_LF(border, feature&place&_,X,feature&place&_,Y,borders(X,Y),[], _,_). borders(X,C) :- var(X), nonvar(C), !, borders(C,X). borders(afghanistan,iran). borders(iran,afghanistan). /* THAT HAS COUNTABLE ATTRIBUTES SUCH AS.. */ subject_LF(thing,longitude,measure&position,X,longitude80(X)). subject_LF(thing,latitude,measure&position,X,latitude80(X)). subj_obj_LF(property,longitude,measure&position,X,feature&_,Y,longitude80(Y,X)). subj_obj_LF(property,latitude, measure&position,X,feature&_,Y,latitude80(Y,X)). noun_plu_db(longitudes,longitude). noun_plu_db(latitudes,latitude). longitude80(C,L--degrees) :- country(C,_,_,L,_,_,_,_). latitude80(C,L--degrees) :- country(C,_,L,_,_,_,_,_). longitude80(_X--degrees). latitude80(_X--degrees). latitude80(tropic_of_capricorn,-23--degrees). latitude80(tropic_of_cancer,23--degrees). latitude80(equator,0--degrees). latitude80(arctic_circle,67--degrees). latitude80(antarctic_circle,-67--degrees). % ------------------------------ % "N/S/E/W/of" % ------------------------------ loc_pred_prep_db(east,prep(eastof),of). loc_pred_prep_db(west,prep(westof),of). loc_pred_prep_db(north,prep(northof),of). loc_pred_prep_db(south,prep(southof),of). adjunction_lf(eastof,feature&_-X,feature&_-Y,eastof(X,Y)). adjunction_lf(westof,feature&_-X,feature&_-Y,westof(X,Y)). adjunction_lf(northof,feature&_-X,feature&_-Y,northof(X,Y)). adjunction_lf(southof,feature&_-X,feature&_-Y,southof(X,Y)). eastof(X1,X2) :- longitude80(X1,L1), longitude80(X2,L2), exceeds(L2,L1). northof(X1,X2) :- latitude80(X1,L1), latitude80(X2,L2), exceeds(L1,L2). southof(X1,X2) :- latitude80(X1,L1), latitude80(X2,L2), exceeds(L2,L1). westof(X1,X2) :- longitude80(X1,L1), longitude80(X2,L2), exceeds(L1,L2). % ------------------------------ % "Population is having a quantitity" % ------------------------------ noun_plu_db(populations,population). subject_LF(thing,population,measure&countables,X,population(X)). subj_obj_LF(property,population, measure&countables,X,feature&_,Y,population(Y,X)). population(C,P--thousand) :- city(C,_,P). population(C,P--million) :- country(C,_,_,_,_,P0,_,_), P is integer(P0/1.0E6). population(_X--million). population(_X--thousand). measure_unit_type_db(thousand,measure&countables,[],thousand). measure_unit_type_db(million,measure&countables,[],million). % ------------------------------ /* % BREAKS THINGS? noun_sin_db(QuantProp):- quantity_props_db(_OfType,QuantProp). subject_LF(thing,QuantProp,measure&OfType,X,denotesQuantity(X,OfType)):- quantity_props_db(OfType,QuantProp). subj_obj_LF(property,QuantProp, measure&OfType,X,feature&_,Y,holds_t(QuantProp,Y,X)):- quantity_props_db(OfType,QuantProp). quantity_props_db(inches,height). denotesQuantity(_X--million,Countables):-quantity_props_db(Countables,_). denotesQuantity(_X--thousand,Countables):-quantity_props_db(Countables,_). denotesQuantity(N, Countables):-number(N),quantity_props_db(Countables,_). */ % ------------------------------ % "Contains" Inversion of the 'in' relation. % ------------------------------ verb_root_db(contain). verb_type_db_0(contain,main+tv). regular_pres_db(contain). regular_past_db(contained,contain). verb_form_db(contains,contain,pres+fin,3+sg). verb_form_db(containing,contain,pres+part,_). trans_LF(contain,feature&place&_,X,feature&_,Y,in_ploc(Y,X),[], _,_). contains80(X,Y) :- contains0(X,Y). contains80(X,Y) :- contains0(X,W), contains80(W,Y). contains0(america,north_america). % ------------------------------ % "In" % ------------------------------ context_pron_db(in,place,where). context_pron_db(at,time,when). % TODO context_pron_db(for,reason,why). % TODO context_pron_db(by,method,how). adjunction_lf(in,feature&_-X,feature&place&_-Y,in_ploc(X,Y)). :- share_mp(in_ploc/2). in_ploc(X,Y) :- var(X), nonvar(Y), !, contains80(Y,X). in_ploc(X,Y) :- in_01(X,W), ( W=Y ; in_ploc(W,Y) ). in_01(X,Y) :- in_continent(X,Y). in_01(X,Y) :- city(X,Y,_). in_01(X,Y) :- country(X,Y,_,_,_,_,_,_). in_01(X,Y) :- flows(X,Y). in_continent(middle_east, asia). % ================================================================= % INTERACTION OF TYPES % ================================================================= /* Verbs */ verb_root_db(rise). regular_pres_db(rise). verb_form_db(rises,rise,pres+fin,3+sg). verb_form_db(rose,rise,past+fin,_). verb_form_db(risen,rise,past+part,_). verb_type_db_0(rise,main+iv). intrans_LF(rise,feature&river,X,rises(X,Y), [slot(prep(in),feature&place&_,Y,_,free)],_). rises(R,C) :- river_pathlist(R,L), last(L,C). verb_root_db(drain). regular_pres_db(drain). regular_past_db(drained,drain). verb_form_db(drains,drain,pres+fin,3+sg). verb_form_db(draining,drain,pres+part,_). verb_type_db_0(drain,main+iv). intrans_LF(drain,feature&river,X,drains(X,Y), [slot(prep(into),feature&place&_,Y,_,free)],_). drains(R,S) :- river_pathlist(R,L), lists_first(L,S). lists_first([F|_],F). verb_root_db(flow). regular_pres_db(flow). regular_past_db(flowed,flow). verb_form_db(flows,flow,pres+fin,3+sg). verb_form_db(flowing,flow,pres+part,_). verb_type_db_0(flow,main+iv). intrans_LF(flow,feature&river,X,flows(X,Y), [slot(prep(through),feature&place&_,Y,_,free)],_). intrans_LF(flow,feature&river,X,flows(X,Y,Z), [slot(prep(into),feature&place&_,Z,_,free), slot(prep(from),feature&place&_,Y,_,free)],_). flows(R,C) :- flows(R,C,_). flows(R,C1,C2) :- river_pathlist(R,L), flow_links(L,C2,C1). flow_links([X1,X2|_],X1,X2). flow_links([_|L],X1,X2) :- flow_links(L,X1,X2). % ------------------------------ /* Measure of Mass Nouns*/ % ------------------------------ noun_plu_db(areas,area). subject_LF(thing,area,measure&area,X,isa_area(X)). subj_obj_LF(property,area,measure&area,X,feature&place&_,Y,areaOf(Y,X)). areaOf(C,A--ksqmiles) :- country(C,_,_,_,A0,_,_,_), A is A0/1000. isa_area(_X--ksqmiles). measure_unit_type_db(sqmile,measure&area,[],sqmiles). measure_unit_type_db(ksqmile,measure&area,[],ksqmiles). ratio_db(sqmiles,ksqmiles,1,1000). ratio_db(ksqmiles,sqmiles,1000,1). noun_plu_db(ksqmiles,ksqmile). noun_plu_db(sqmiles,sqmile). /* property_measured_in_db(area,sqmile,sqmiles). + subj_obj_LF(property,area,measure&area,X,feature&place&_,Y,areaOf(Y,X)). -> noun_plu_db(areas,area). subject_LF(thing,area,measure&area,X,isa_area(X)). subj_obj_LF(property,area,measure&area,X,feature&place&_,Y,areaOf(Y,X)). areaOf(C,A--ksqmiles) :- country(C,_,_,_,A0,_,_,_), A is integer(A0/1000). isa_area(_X--ksqmiles). measure_unit_type_db(sqmile,measure&area,[],sqmiles). measure_unit_type_db(ksqmile,measure&area,[],ksqmiles). ratio_db(sqmiles,ksqmiles,1,1000). ratio_db(ksqmiles,sqmiles,1000,1). noun_plu_db(ksqmiles,ksqmile). noun_plu_db(sqmiles,sqmile). */ :- shared_parser_data(clex_iface:clex_noun/5). subject_LF(thing,CountNoun,feature&_,X,isa(X,RootNoun)):- plt, clex_noun(CountNoun, RootNoun,_,_,_),not(ratio_db(RootNoun,_,_,_)). subject_LF(thing,CountNoun,feature&_,X,adjIsa2(X,RootNoun)):- plt, clex_adj(CountNoun, RootNoun,_),not(ratio_db(RootNoun,_,_,_)). /* Measure of Proportions and the like */ noun_form_db(proportion,proportion,_). comparator_db(proportion,_,V,[],proportion(V)). noun_plu_db(degrees,degree). measure_unit_type_db(degree,measure&position,[],degrees). comparator_db(percentage,_,V,[],proportion(V)). noun_form_db(percentage,percentage,_). noun_plu_db(thousand,thousand). noun_plu_db(million,million). ratio_db(million,thousand,1000,1). ratio_db(thousand,million,1,1000). adj_db(average,restr). aggr_adj_db(average,_,_,average). noun_plu_db(averages,average). aggr_noun_db(average,_,_,average). aggr_adj_db(minimum,_,_,minimum). adj_db(minimum,restr). aggr_adj_db(maximum,_,_,maximum). adj_db(maximum,restr). meta_noun_db(number,_,V,feature&_,X,P,numberof(X,P,V)). noun_plu_db(numbers,number). adj_db(total,restr). noun_plu_db(totals,total). aggr_adj_db(total,_,_,total). aggr_noun_db(total,_,_,total). aggr_noun_db(sum,_,_,total). noun_plu_db(sums,sum). /* Measure of Greater or Lesser amounts*/ verb_root_db(exceed). verb_type_db_0(exceed,main+tv). regular_pres_db(exceed). regular_past_db(exceeded,exceed). verb_form_db(exceeds,exceed,pres+fin,3+sg). verb_form_db(exceeding,exceed,pres+part,_). trans_LF(exceed,measure&Type,X,measure&Type,Y,exceeds(X,Y),[], _,_). subj_obj_LF(attribute,great,measure&Type,X,measure&Type,Y,exceeds(X,Y)). measure_op_db(id(_Why),X,X,true). measure_op_db(same,X,Y,X=Y). measure_op_db(less,X,Y,exceeds(Y,X)). measure_op_db(not(_Why)+less,X,Y,\+exceeds(Y,X)). measure_op_db(more,X,Y,exceeds(X,Y)). measure_op_db(not(_Why)+more,X,Y,\+exceeds(X,Y)). inverse_db(most,-,least). inverse_db(least,-,most). inverse_db(same,-,same). inverse_db(less,-,more). inverse_db(more,-,less). inverse_db(X,+,X). exceeds(X1--U1,X2--U2) :- !, (U1==U2 -> maybe_freeze(X1 > X2) ; (ratio_db(U1,U2,M1,M2), maybe_freeze(X1*M1 > X2*M2))). exceeds(X1U1,X2U2) :- to_dash_number(X1U1,N1),to_dash_number(X2U2,N2),!,maybe_freeze(N1 > N2). to_dash_number(X,N):- \+ ground(X), maybe_freeze(N = X). to_dash_number(X--thousand,N):- !, maybe_freeze(N = X * 10e+3). to_dash_number(X--million,N):- !, maybe_freeze(N = X * 10e+6). to_dash_number(X--billion,N):- !, maybe_freeze(N = X * 10e+9). to_dash_number(X,N):- maybe_freeze(N = X). maybe_freeze(G):- ground(G),!,call(G). maybe_freeze(G):- clpr:{G}. sup_adj_db(Biggest,Big):-plt,talk_db(superl,Big,Biggest). % /* Comparative */ rel_adj_db(Bigger,Big):-plt,talk_db(comp,Big,Bigger). subj_obj_LF(attribute,small,feature&place&_,X,measure&area,Y,areaOf(X,Y)). subj_obj_LF(attribute,large,feature&place&_,X,measure&area,Y,areaOf(X,Y)). subj_obj_LF(attribute,small,feature&Place&_,X,measure&Area,Y,holds_t(AreaPred,X,Y)):-type_measured_by_pred_db(Place,Area,AreaPred). subj_obj_LF(attribute,large,feature&Place&_,X,measure&Area,Y,holds_t(AreaPred,X,Y)):-type_measured_by_pred_db(Place,Area,AreaPred). type_measured_by_pred_db(human,feet,height). units_db(small,measure&_). units_db(large,measure&_). rel_adj_db(smaller,small). sup_adj_db(smallest,small). rel_adj_db(larger,large). sup_adj_db(largest,large). adj_sign_db(large,+). adj_sign_db(small,-). adj_sign_db(great,+). comp_adv_db(less). comp_adv_db(more). sup_adv_db(least). sup_adv_db(most). rel_adj_db(less,small). rel_adj_db(greater,great). rel_adj_db(bigger,big). sup_adj_db(biggest,big). adj_db(small,quant). adj_db(large,quant). adj_db(great,quant). adj_db(big,quant). adj_db(Big,quant):-plt,talk_db(superl,Big,_Biggest). adj_db(Big,quant):-plt,talk_db(comp,Big,_Bigger). adj_db(old,quant). adj_db(new,quant). rel_adj_db(older,old). sup_adj_db(oldest,old). rel_adj_db(newer,new). sup_adj_db(newest,new). /* We can parse: which is the largest X? but also need to parse: which X is the largest? chat80 what are the items? chat80 how many items are there? chat80 how many types are there? chat80 how many postures are there? chat80("what are the postures that are verbs?") chat80("how many rivers are rivers?"). chat80 you flow to the ocean */ current_dcg_predicate(F/A):-current_predicate(F/A). toDCPred(Type,Pred,In,Out):-compound(Type),!,functor(Type,F,A),A2 is A + 2,current_dcg_predicate(F/A2), once((length(Args,A),Type=..[F|Args],append(Args,[In,Out],Dargs))),Pred=..[F|Dargs]. toDCPred(Type,Pred,In,Out):- current_dcg_predicate(F/A2),A is A2 - 2, once((length(Args,A),Type=..[F|Args],append(Args,[In,Out],Dargs))),Pred=..[F|Dargs]. probeDCG(Left,Content,Right,Type):-length_between(0,1,Left),length_between(0,1,Right),append(Left,Content,First),append(First,Right,In), toDCPred(Type,Pred,In,[]),Pred. :-share_mp(ph/2). ph(Type,Content):-show_call(probeDCG(_,Content,_,Type)). length_between(S,E,Left):-between(S,E,X),length(Left,X). :-share_mp(must_test_801/3). must_test_801([which, are, the, largest, african, countries, ?], [ parse(whq(feature&place&country-B, s(np(3+sg, wh(feature&place&country-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [sup(most, adj(large)), adj(african)], country), []))], []))), sem((answer80([A]):-B^ (setof(C:D, (country(D), area(D, C), african(D)), B), aggregate80(max, B, A)))), qplan((answer80([D]):-C^ (setof(B:A, (african(A), {country(A)}, area(A, B)), C), aggregate80(max, C, D)))), answers([sudan])],[time(0.0)]). must_test_801([what, rivers, are, there, ?], [sent([what, rivers, are, there, ?]), parse(whq(feature&river-B, s(np(3+pl, np_head(int_det(feature&river-B), [], river), []), verb(be, active, pres+fin, [], pos(_)), [void(_Why)], []))), sem((answer80([A]):-river(A), A^true)), qplan((answer80([B]):-river(B), B^true)), answers([amazon, amu_darya, amur, brahmaputra, colorado, congo_river, cubango, danube, don, elbe, euphrates, ganges, hwang_ho, indus, irrawaddy, lena, limpopo, mackenzie, mekong, mississippi, murray, niger_river, nile, ob, oder, orange, orinoco, parana, rhine, rhone, rio_grande, salween, senegal_river, tagus, vistula, volga, volta, yangtze, yenisei, yukon, zambesi])],[time(0.0)]). must_test_801([does, afghanistan, border, china, ?], [sent([does, afghanistan, border, china, ?]), parse(q(s(np(3+sg, nameOf(afghanistan), []), verb(border, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, name(china), []))], []))), sem((answer80([]):-borders(afghanistan, china))), qplan((answer80([]):-{borders(afghanistan, china)})), answers([true])],[time(0.0)]). must_test_801([what, is, the, capital, of, upper_volta, ?], [sent([what, is, the, capital, of, upper_volta, ?]), parse(whq(feature&city-B, s(np(3+sg, wh(feature&city-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [], capital), [pp(prep(of), np(3+sg, name(upper_volta), []))]))], []))), sem((answer80([A]):-capital(upper_volta, A))), qplan((answer80([A]):-capital(upper_volta, A))), answers([ouagadougou])],[time(0.0010000000000000009)]). must_test_801([where, is, the, largest, country, ?], [sent([where, is, the, largest, country, ?]), parse(whq(feature&place&A-B, s(np(3+sg, np_head(det(the(sg)), [sup(most, adj(large))], country), []), verb(be, active, pres+fin, [], pos(_)), [varg(pred, pp(prep(in), np(_, np_head(int_det(feature&place&A-B), [], place), [])))], []))), sem((answer80([A]):-B^ (C^ (setof(D:E, (country(E), area(E, D)), C), aggregate80(max, C, B)), place(A), in_ploc(B, A)))), qplan((answer80([F]):-E^D^ (setof(C:B, (country(B), area(B, C)), D), aggregate80(max, D, E), in_ploc(E, F), {place(F)}))), answers([asia, northern_asia])],[time(0.0009999999999999731)]). must_test_801([which, countries, are, european, ?], [sent([which, countries, are, european, ?]), parse(whq(feature&place&country-B, s(np(3+pl, np_head(int_det(feature&place&country-B), [], country), []), verb(be, active, pres+fin, [], pos(_)), [varg(pred, adj(european))], []))), sem((answer80([A]):-country(A), european(A))), qplan((answer80([A]):-european(A), {country(A)})), answers([albania, andorra, austria, belgium, bulgaria, cyprus, czechoslovakia, denmark, east_germany, eire, finland, france, greece, hungary, iceland, italy, liechtenstein, luxembourg, malta, monaco, netherlands, norway, poland, portugal, romania, san_marino, spain, sweden, switzerland, united_kingdom, west_germany, yugoslavia])],[time(0.0)]). must_test_801([which, is, the, largest, african, country, ?], [sent([which, is, the, largest, african, country, ?]), parse(whq(feature&place&country-B, s(np(3+sg, wh(feature&place&country-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [sup(most, adj(large)), adj(african)], country), []))], []))), sem((answer80([A]):-B^ (setof(C:D, (country(D), area(D, C), african(D)), B), aggregate80(max, B, A)))), qplan((answer80([D]):-C^ (setof(B:A, (african(A), {country(A)}, area(A, B)), C), aggregate80(max, C, D)))), answers([sudan])],[time(0.0)]). must_test_801([what, is, the, ocean, that, borders, african, countries, and, that, borders, asian, countries, ?], [sent([what, is, the, ocean, that, borders, african, countries, and, that, borders, asian, countries, ?]), parse(whq(feature&place&seamass-B, s(np(3+sg, wh(feature&place&seamass-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [], ocean), [conj(and, rel(feature&place&seamass-C, s(np(3+sg, wh(feature&place&seamass-C), []), verb(border, active, pres+fin, [], pos(_)), [varg(dir, np(3+pl, np_head(generic, [adj(african)], country), []))], [])), rel(feature&place&seamass-C, s(np(3+sg, wh(feature&place&seamass-C), []), verb(border, active, pres+fin, [], pos(_)), [varg(dir, np(3+pl, np_head(generic, [adj(asian)], country), []))], [])))]))], []))), sem((answer80([A]):-ocean(A), B^ (country(B), african(B), borders(A, B)), C^ (country(C), asian(C), borders(A, C)))), qplan((answer80([A]):-B^C^ (ocean(A), {borders(A, B), {african(B)}, {country(B)}}, {borders(A, C), {asian(C)}, {country(C)}}))), answers([indian_ocean])],[time(0.0020000000000000018)]). must_test_801([what, are, the, capitals, of, the, countries, bordering, the, baltic, ?], [sent([what, are, the, capitals, of, the, countries, bordering, the, baltic, ?]), parse(whq(feature&city-B, s(np(3+pl, wh(feature&city-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+pl, np_head(det(the(pl)), [], capital), [pp(prep(of), np(3+pl, np_head(det(the(pl)), [], country), [reduced_rel(feature&place&country-D, s(np(3+pl, wh(feature&place&country-D), []), verb(border, active, inf, [prog], pos(_)), [varg(dir, np(3+sg, name(baltic), []))], []))]))]))], []))), sem((answer80([D]):-setof([A]:C, (country(A), borders(A, baltic), setof(B, capital(A, B), C)), D))), qplan((answer80([H]):-setof([E]:G, (country(E), borders(E, baltic), setof(F, capital(E, F), G)), H))), answers([[[denmark]:[copenhagen], [east_germany]:[east_berlin], [finland]:[helsinki], [poland]:[warsaw], [soviet_union]:[moscow], [sweden]:[stockholm], [west_germany]:[bonn]]])],[time(0.0010000000000000009)]). must_test_801([how, many, countries, does, the, danube, flow, through, ?], [sent([how, many, countries, does, the, danube, flow, through, ?]), parse(whq(feature&place&country-B, s(np(3+sg, nameOf(danube), []), verb(flow, active, pres+fin, [], pos(_)), [], [pp(prep(through), np(3+pl, np_head(quant(same, wh(feature&place&country-B)), [], country), []))]))), sem((answer80([A]):-numberof(B, (country(B), flows(danube, B)), A))), qplan((answer80([B]):-numberof(A, (flows(danube, A), {country(A)}), B))), answers([6])],[time(0.0010000000000000009)]). must_test_801([what, is, the, average, area, of, the, countries, in, each, continent, ?], [sent([what, is, the, average, area, of, the, countries, in, each, continent, ?]), parse(whq(A-C, s(np(3+sg, wh(A-C), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [adj(average)], area), [pp(prep(of), np(3+pl, np_head(det(the(pl)), [], country), [pp(prep(in), np(3+sg, np_head(det(each), [], continent), []))]))]))], []))), sem((answer80([B, E]):-continent(B), [ (0--ksqmiles):[andorra], (0--ksqmiles):[liechtenstein], (0--ksqmiles):[malta], (0--ksqmiles):[monaco], (0--ksqmiles):[san_marino], (1--ksqmiles):[luxembourg], (4--ksqmiles):[cyprus], (11--ksqmiles):[albania], (12--ksqmiles):[belgium], (14--ksqmiles):[netherlands], (16--ksqmiles):[switzerland], (17--ksqmiles):[denmark], (27--ksqmiles):[eire], (32--ksqmiles):[austria], (35--ksqmiles):[portugal], (36--ksqmiles):[hungary], (40--ksqmiles):[iceland], (41--ksqmiles):[east_germany], (43--ksqmiles):[bulgaria], (49--ksqmiles):[czechoslovakia], (51--ksqmiles):[greece], (92--ksqmiles):[romania], (94--ksqmiles):[united_kingdom], (96--ksqmiles):[west_germany], (99--ksqmiles):[yugoslavia], (116--ksqmiles):[italy], (120--ksqmiles):[poland], (125--ksqmiles):[norway], (130--ksqmiles):[finland], (174--ksqmiles):[sweden], (195--ksqmiles):[spain], (213--ksqmiles):[france]]^ (setof(D:[C], (area(C, D), country(C), in_ploc(C, B)), [ (0--ksqmiles):[andorra], (0--ksqmiles):[liechtenstein], (0--ksqmiles):[malta], (0--ksqmiles):[monaco], (0--ksqmiles):[san_marino], (1--ksqmiles):[luxembourg], (4--ksqmiles):[cyprus], (11--ksqmiles):[albania], (12--ksqmiles):[belgium], (14--ksqmiles):[netherlands], (16--ksqmiles):[switzerland], (17--ksqmiles):[denmark], (27--ksqmiles):[eire], (32--ksqmiles):[austria], (35--ksqmiles):[portugal], (36--ksqmiles):[hungary], (40--ksqmiles):[iceland], (41--ksqmiles):[east_germany], (43--ksqmiles):[bulgaria], (49--ksqmiles):[czechoslovakia], (51--ksqmiles):[greece], (92--ksqmiles):[romania], (94--ksqmiles):[united_kingdom], (96--ksqmiles):[west_germany], (99--ksqmiles):[yugoslavia], (116--ksqmiles):[italy], (120--ksqmiles):[poland], (125--ksqmiles):[norway], (130--ksqmiles):[finland], (174--ksqmiles):[sweden], (195--ksqmiles):[spain], (213--ksqmiles):[france]]), aggregate80(average, [ (0--ksqmiles):[andorra], (0--ksqmiles):[liechtenstein], (0--ksqmiles):[malta], (0--ksqmiles):[monaco], (0--ksqmiles):[san_marino], (1--ksqmiles):[luxembourg], (4--ksqmiles):[cyprus], (11--ksqmiles):[albania], (12--ksqmiles):[belgium], (14--ksqmiles):[netherlands], (16--ksqmiles):[switzerland], (17--ksqmiles):[denmark], (27--ksqmiles):[eire], (32--ksqmiles):[austria], (35--ksqmiles):[portugal], (36--ksqmiles):[hungary], (40--ksqmiles):[iceland], (41--ksqmiles):[east_germany], (43--ksqmiles):[bulgaria], (49--ksqmiles):[czechoslovakia], (51--ksqmiles):[greece], (92--ksqmiles):[romania], (94--ksqmiles):[united_kingdom], (96--ksqmiles):[west_germany], (99--ksqmiles):[yugoslavia], (116--ksqmiles):[italy], (120--ksqmiles):[poland], (125--ksqmiles):[norway], (130--ksqmiles):[finland], (174--ksqmiles):[sweden], (195--ksqmiles):[spain], (213--ksqmiles):[france]], E)))), qplan((answer80([F, J]):-continent(F), I^ (setof(H:[G], (area(G, H), country(G), in_ploc(G, F)), I), aggregate80(average, I, J)))), answers([[europe, 58.84375--ksqmiles]])],[time(0.0040000000000000036)]). must_test_801([is, there, more, than, one, country, in, each, continent, ?], [sent([is, there, more, than, one, country, in, each, continent, ?]), parse(q(s(there, verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(quant(more, nb(1)), [], country), [pp(prep(in), np(3+sg, np_head(det(each), [], continent), []))]))], []))), sem((answer80([]):- \+A^ (continent(A), \+C^ (numberof(B, (country(B), in_ploc(B, A)), C), C>1)))), qplan((answer80([]):- \+D^ (continent(D), \+F^ (numberof(E, (country(E), in_ploc(E, D)), F), F>1)))), answers([false])],[time(0.0010000000000000009)]). must_test_801([is, there, some, ocean, that, does, not, border, any, country, ?], [sent([is, there, some, ocean, that, does, not, border, any, country, ?]), parse(q(s(there, verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(some), [], ocean), [rel(feature&place&seamass-B, s(np(3+sg, wh(feature&place&seamass-B), []), verb(border, active, pres+fin, [], neg(_)), [varg(dir, np(3+sg, np_head(det(any), [], country), []))], []))]))], []))), sem((answer80([]):-A^ (ocean(A), \+B^ (country(B), borders(A, B))))), qplan((answer80([]):-A^{ocean(A), {\+B^ (borders(A, B), {country(B)})}})), answers([true])],[time(0.0010000000000000009)]). must_test_801([what, are, the, countries, from, which, a, river, flows, into, the, black_sea, ?], [sent([what, are, the, countries, from, which, a, river, flows, into, the, black_sea, ?]), parse(whq(feature&place&country-B, s(np(3+pl, wh(feature&place&country-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+pl, np_head(det(the(pl)), [], country), [rel(feature&place&country-D, s(np(3+sg, np_head(det(a), [], river), []), verb(flow, active, pres+fin, [], pos(_)), [], [pp(prep(from), np(3+pl, wh(feature&place&country-D), [])), pp(prep(into), np(3+sg, name(black_sea), []))]))]))], []))), sem((answer80([A]):-setof(B, (country(B), C^ (river(C), flows(C, B, black_sea))), A))), qplan((answer80([C]):-setof(B, A^ (flows(A, B, black_sea), {country(B)}, {river(A)}), C))), answers([[romania]])],[time(0.0010000000000000009)]). must_test_801([which, countries, have, a, population, exceeding, nb(10), million, ?], [sent([which, countries, have, a, population, exceeding, nb(10), million, ?]), parse(whq(feature&place&country-B, s(np(3+pl, np_head(int_det(feature&place&country-B), [], country), []), verb(have, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(a), [], population), [reduced_rel(measure&countables-C, s(np(3+sg, wh(measure&countables-C), []), verb(exceed, active, inf, [prog], pos(_)), [varg(dir, np(3+pl, np_head(quant(same, nb(10)), [], million), []))], []))]))], []))), sem((answer80([A]):-country(A), B^ (exceeds(B, 10--million), population(A, B)))), qplan((answer80([A]):-B^ (country(A), {population(A, B), {exceeds(B, 10--million)}}))), answers([malaysia, uganda])],[time(0.0010000000000000009)]). must_test_801([which, countries, with, a, population, exceeding, nb(10), million, border, the, atlantic, ?], [sent([which, countries, with, a, population, exceeding, nb(10), million, border, the, atlantic, ?]), parse(whq(feature&place&country-B, s(np(3+pl, np_head(int_det(feature&place&country-B), [], country), [pp(prep(with), np(3+sg, np_head(det(a), [], population), [reduced_rel(measure&countables-C, s(np(3+sg, wh(measure&countables-C), []), verb(exceed, active, inf, [prog], pos(_)), [varg(dir, np(3+pl, np_head(quant(same, nb(10)), [], million), []))], []))]))]), verb(border, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, name(atlantic), []))], []))), sem((answer80([A]):-B^ (population(A, B), exceeds(B, 10--million), country(A)), borders(A, atlantic))), qplan((answer80([A]):-B^ (borders(A, atlantic), {population(A, B), {exceeds(B, 10--million)}}, {country(A)}))), answers([venezuela])],[time(0.0010000000000000009)]). must_test_801([what, countries, are, there, in, europe, ?], [sent([what, countries, are, there, in, europe, ?]), parse(whq(feature&place&country-B, s(np(3+pl, np_head(int_det(feature&place&country-B), [], country), []), verb(be, active, pres+fin, [], pos(_)), [void], [pp(prep(in), np(3+sg, name(europe), []))]))), sem((answer80([A]):-country(A), in_ploc(A, europe))), qplan((answer80([A]):-in_ploc(A, europe), {country(A)})), answers([albania, andorra, austria, belgium, bulgaria, cyprus, czechoslovakia, denmark, east_germany, eire, finland, france, greece, hungary, iceland, italy, liechtenstein, luxembourg, malta, monaco, netherlands, norway, poland, portugal, romania, san_marino, spain, sweden, switzerland, united_kingdom, west_germany, yugoslavia])],[time(0.0010000000000000009)]). must_test_801(U,R,O):-must_test_804(U,R,O). must_test_801(U,R,O):-must_test_802(U,R,O). must_test_801(U,R,O):-must_test_803(U,R,O). must_test_802([how, large, is, the, smallest, american, country, ?], [sent([how, large, is, the, smallest, american, country, ?]), parse(whq(measure&area-B, s(np(3+sg, np_head(det(the(sg)), [sup(most, adj(small)), adj(american)], country), []), verb(be, active, pres+fin, [], pos(_)), [varg(pred, value(adj(large), wh(measure&area-B)))], []))), sem((answer80([A]):-B^ (C^ (setof(D:E, (country(E), area(E, D), american(E)), C), aggregate80(min, C, B)), area(B, A)))), qplan((answer80([E]):-D^C^ (setof(B:A, (american(A), {country(A)}, area(A, B)), C), aggregate80(min, C, D), area(D, E)))), answers([0--ksqmiles])],[time(0.0)]). must_test_802([what, is, the, total, area, of, countries, south, of, the, equator, and, not, in, australasia, ?], [sent([what, is, the, total, area, of, countries, south, of, the, equator, and, not, in, australasia, ?]), parse(whq(A-B, s(np(3+sg, wh(A-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [adj(total)], area), [pp(prep(of), np(3+pl, np_head(generic, [], country), [conj(and, reduced_rel(feature&place&country-F, s(np(3+pl, wh(feature&place&country-F), []), verb(be, active, pres+fin, [], pos(_)), [varg(pred, pp(prep(southof), np(3+sg, name(equator), [])))], [])), reduced_rel(feature&place&country-F, s(np(3+pl, wh(feature&place&country-F), []), verb(be, active, pres+fin, [], neg(_)), [varg(pred, pp(prep(in), np(3+sg, name(australasia), [])))], [])))]))]))], []))), sem((answer80([A]):-B^ (setof(C:[D], (area(D, C), country(D), southof(D, equator), \+in_ploc(D, australasia)), B), aggregate80(total, B, A)))), qplan((answer80([E]):-D^ (setof(C:[B], (southof(B, equator), area(B, C), {country(B)}, {\+in_ploc(B, australasia)}), D), aggregate80(total, D, E)))), answers([10239--ksqmiles])],[time(0.0010000000000000009)]). must_test_802([which, countries, are, bordered, by, two, seas, ?], [sent([which, countries, are, bordered, by, two, seas, ?]), parse(whq(feature&place&country-B, s(np(3+pl, np_head(int_det(feature&place&country-B), [], country), []), verb(border, passive, pres+fin, [], pos(_)), [], [pp(prep(by), np(3+pl, np_head(quant(same, nb(2)), [], sea), []))]))), sem((answer80([A]):-country(A), numberof(B, (sea(B), borders(B, A)), 2))), qplan((answer80([B]):-numberof(A, (sea(A), borders(A, B)), 2), {country(B)})), answers([egypt, iran, israel, saudi_arabia, turkey])],[time(0.0)]). must_test_803([which, country, bordering, the, mediterranean, borders, a, country, that, is, bordered, by, a, country, whose, population, exceeds, the, population, of, india, ?], [sent([which, country, bordering, the, mediterranean, borders, a, country, that, is, bordered, by, a, country, whose, population, exceeds, the, population, of, india, ?]), parse(whq(feature&place&country-B, s(np(3+sg, np_head(int_det(feature&place&country-B), [], country), [reduced_rel(feature&place&country-B, s(np(3+sg, wh(feature&place&country-B), []), verb(border, active, inf, [prog], pos(_)), [varg(dir, np(3+sg, name(mediterranean), []))], []))]), verb(border, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(a), [], country), [rel(feature&place&country-C, s(np(3+sg, wh(feature&place&country-C), []), verb(border, passive, pres+fin, [], pos(_)), [], [pp(prep(by), np(3+sg, np_head(det(a), [], country), [rel(feature&place&country-D, s(np(3+sg, np_head(det(the(sg)), [], population), [pp(poss, np(3+sg, wh(feature&place&country-D), []))]), verb(exceed, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(the(sg)), [], population), [pp(prep(of), np(3+sg, name(india), []))]))], []))]))]))]))], []))), sem((answer80([A]):-country(A), borders(A, mediterranean), B^ (country(B), C^ (country(C), D^ (population(C, D), E^ (population(india, E), exceeds(D, E))), borders(C, B)), borders(A, B)))), qplan((answer80([B]):-C^D^E^A^ (population(india, A), borders(B, mediterranean), {country(B)}, {borders(B, C), {country(C)}, {borders(D, C), {country(D)}, {population(D, E), {exceeds(E, A)}}}}))), answers([turkey])],[time(0.0020000000000000018)]). must_test_803([which, country, '\'', s, capital, is, london, ?], [sent([which, country, '\'', s, capital, is, london, ?]), parse(whq(feature&place&country-B, s(np(3+sg, np_head(det(the(sg)), [], capital), [pp(poss, np(3+sg, np_head(int_det(feature&place&country-B), [], country), []))]), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, name(london), []))], []))), sem((answer80([A]):-country(A), capital(A, london))), qplan((answer80([A]):-capital(A, london), {country(A)})), answers([united_kingdom])],[time(0.0010000000000000009)]). must_test_803([what, are, the, continents, no, country, in, which, contains, more, than, two, cities, whose, population, exceeds, nb(1), million, ?], [sent([what, are, the, continents, no, country, in, which, contains, more, than, two, cities, whose, population, exceeds, nb(1), million, ?]), parse(whq(feature&place&continent-B, s(np(3+pl, wh(feature&place&continent-B), []), verb(be, active, pres+fin, [], pos(_)), [varg(dir, np(3+pl, np_head(det(the(pl)), [], continent), [rel(feature&place&continent-D, s(np(3+sg, np_head(det(no), [], country), [pp(prep(in), np(3+pl, wh(feature&place&continent-D), []))]), verb(contain, active, pres+fin, [], pos(_)), [varg(dir, np(3+pl, np_head(quant(more, nb(2)), [], city), [rel(feature&city-G, s(np(3+sg, np_head(det(the(sg)), [], population), [pp(poss, np(3+pl, wh(feature&city-G), []))]), verb(exceed, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(quant(same, nb(1)), [], million), []))], []))]))], []))]))], []))), sem((answer80([F]):-setof(A, (continent(A), \+B^ (country(B), in_ploc(B, A), E^ (numberof(C, (city(C), D^ (population(C, D), exceeds(D, 1--million)), in_ploc(C, B)), E), E>2))), F))), qplan((answer80([L]):-setof(G, (continent(G), \+H^ (country(H), in_ploc(H, G), K^ (numberof(I, (city(I), J^ (population(I, J), exceeds(J, 1--million)), in_ploc(I, H)), K), K>2))), L))), answers([[africa, america, antarctica, asia, australasia, europe]])],[time(0.05499999999999999)]). must_test_804([what, percentage, of, countries, border, each, ocean, ?], [sent([what, percentage, of, countries, border, each, ocean, ?]), parse(whq(A-C, s(np(3+pl, np_head(int_det(A-C), [], percentage), [pp(prep(of), np(3+pl, np_head(generic, [], country), []))]), verb(border, active, pres+fin, [], pos(_)), [varg(dir, np(3+sg, np_head(det(each), [], ocean), []))], []))), sem((answer80([B, E]):-ocean(B), [afghanistan, albania, algeria, andorra, angola, argentina, australia, austria, bahamas, bahrain, bangladesh, barbados, belgium, belize, bhutan, bolivia, botswana, brazil, bulgaria, burma, burundi, cambodia, cameroon, canada, central_african_republic, chad, chile, china, colombia, congo, costa_rica, cuba, cyprus, czechoslovakia, dahomey, denmark, djibouti, dominican_republic, east_germany, ecuador, egypt, eire, el_salvador, equatorial_guinea, ethiopia, fiji, finland, france, french_guiana, gabon, gambia, ghana, greece, grenada, guatemala, guinea, guinea_bissau, guyana, haiti, honduras, hungary, iceland, india, indonesia, iran, iraq, israel, italy, ivory_coast, jamaica, japan, jordan, kenya, kuwait, laos, lebanon, lesotho, liberia, libya, liechtenstein, luxembourg, malagasy, malawi, malaysia, maldives, mali, malta, mauritania, mauritius, mexico, monaco, mongolia, morocco, mozambique, nepal, netherlands, new_zealand, nicaragua, niger, nigeria, north_korea, norway, oman, pakistan, panama, papua_new_guinea, paraguay, peru, philippines, poland, portugal, qatar, romania, rwanda, san_marino, saudi_arabia, senegal, seychelles, sierra_leone, singapore, somalia, south_africa, south_korea, south_yemen, soviet_union, spain, sri_lanka, sudan, surinam, swaziland, sweden, switzerland, syria, taiwan, tanzania, thailand, togo, tonga, trinidad_and_tobago, tunisia, turkey, uganda, united_arab_emirates, united_kingdom, united_states, upper_volta, uruguay, venezuela, vietnam, west_germany, western_samoa, yemen, yugoslavia, zaire, zambia, zimbabwe]^ (setof(C, country(C), [afghanistan, albania, algeria, andorra, angola, argentina, australia, austria, bahamas, bahrain, bangladesh, barbados, belgium, belize, bhutan, bolivia, botswana, brazil, bulgaria, burma, burundi, cambodia, cameroon, canada, central_african_republic, chad, chile, china, colombia, congo, costa_rica, cuba, cyprus, czechoslovakia, dahomey, denmark, djibouti, dominican_republic, east_germany, ecuador, egypt, eire, el_salvador, equatorial_guinea, ethiopia, fiji, finland, france, french_guiana, gabon, gambia, ghana, greece, grenada, guatemala, guinea, guinea_bissau, guyana, haiti, honduras, hungary, iceland, india, indonesia, iran, iraq, israel, italy, ivory_coast, jamaica, japan, jordan, kenya, kuwait, laos, lebanon, lesotho, liberia, libya, liechtenstein, luxembourg, malagasy, malawi, malaysia, maldives, mali, malta, mauritania, mauritius, mexico, monaco, mongolia, morocco, mozambique, nepal, netherlands, new_zealand, nicaragua, niger, nigeria, north_korea, norway, oman, pakistan, panama, papua_new_guinea, paraguay, peru, philippines, poland, portugal, qatar, romania, rwanda, san_marino, saudi_arabia, senegal, seychelles, sierra_leone, singapore, somalia, south_africa, south_korea, south_yemen, soviet_union, spain, sri_lanka, sudan, surinam, swaziland, sweden, switzerland, syria, taiwan, tanzania, thailand, togo, tonga, trinidad_and_tobago, tunisia, turkey, uganda, united_arab_emirates, united_kingdom, united_states, upper_volta, uruguay, venezuela, vietnam, west_germany, western_samoa, yemen, yugoslavia, zaire, zambia, zimbabwe]), 4^ (numberof(D, (one_of([afghanistan, albania, algeria, andorra, angola, argentina, australia, austria, bahamas, bahrain, bangladesh, barbados, belgium, belize, bhutan, bolivia, botswana, brazil, bulgaria, burma, burundi, cambodia, cameroon, canada, central_african_republic, chad, chile, china, colombia, congo, costa_rica, cuba, cyprus, czechoslovakia, dahomey, denmark, djibouti, dominican_republic, east_germany, ecuador, egypt, eire, el_salvador, equatorial_guinea, ethiopia, fiji, finland, france, french_guiana, gabon, gambia, ghana, greece, grenada, guatemala, guinea, guinea_bissau, guyana, haiti, honduras, hungary, iceland, india, indonesia, iran, iraq, israel, italy, ivory_coast, jamaica, japan, jordan, kenya, kuwait, laos, lebanon, lesotho, liberia, libya, liechtenstein, luxembourg, malagasy, malawi, malaysia, maldives, mali, malta, mauritania, mauritius, mexico, monaco, mongolia, morocco, mozambique, nepal, netherlands, new_zealand, nicaragua, niger, nigeria, north_korea, norway, oman, pakistan, panama, papua_new_guinea, paraguay, peru, philippines, poland, portugal, qatar, romania, rwanda, san_marino, saudi_arabia, senegal, seychelles, sierra_leone, singapore, somalia, south_africa, south_korea, south_yemen, soviet_union, spain, sri_lanka, sudan, surinam, swaziland, sweden, switzerland, syria, taiwan, tanzania, thailand, togo, tonga, trinidad_and_tobago, tunisia, turkey, uganda, united_arab_emirates, united_kingdom, united_states, upper_volta, uruguay, venezuela, vietnam, west_germany, western_samoa, yemen, yugoslavia, zaire, zambia, zimbabwe], D), borders(D, B)), 4), 156^ (card([afghanistan, albania, algeria, andorra, angola, argentina, australia, austria, bahamas, bahrain, bangladesh, barbados, belgium, belize, bhutan, bolivia, botswana, brazil, bulgaria, burma, burundi, cambodia, cameroon, canada, central_african_republic, chad, chile, china, colombia, congo, costa_rica, cuba, cyprus, czechoslovakia, dahomey, denmark, djibouti, dominican_republic, east_germany, ecuador, egypt, eire, el_salvador, equatorial_guinea, ethiopia, fiji, finland, france, french_guiana, gabon, gambia, ghana, greece, grenada, guatemala, guinea, guinea_bissau, guyana, haiti, honduras, hungary, iceland, india, indonesia, iran, iraq, israel, italy, ivory_coast, jamaica, japan, jordan, kenya, kuwait, laos, lebanon, lesotho, liberia, libya, liechtenstein, luxembourg, malagasy, malawi, malaysia, maldives, mali, malta, mauritania, mauritius, mexico, monaco, mongolia, morocco, mozambique, nepal, netherlands, new_zealand, nicaragua, niger, nigeria, north_korea, norway, oman, pakistan, panama, papua_new_guinea, paraguay, peru, philippines, poland, portugal, qatar, romania, rwanda, san_marino, saudi_arabia, senegal, seychelles, sierra_leone, singapore, somalia, south_africa, south_korea, south_yemen, soviet_union, spain, sri_lanka, sudan, surinam, swaziland, sweden, switzerland, syria, taiwan, tanzania, thailand, togo, tonga, trinidad_and_tobago, tunisia, turkey, uganda, united_arab_emirates, united_kingdom, united_states, upper_volta, uruguay, venezuela, vietnam, west_germany, western_samoa, yemen, yugoslavia, zaire, zambia, zimbabwe], 156), ratio(4, 156, E)))))), qplan((answer80([F, L]):-ocean(F), H^ (setof(G, country(G), H), J^ (numberof(I, (one_of(H, I), borders(I, F)), J), K^ (card(H, K), ratio(J, K, L)))))), answers([[arctic_ocean,2.5641025641025643], [atlantic,35.2564], [indian_ocean,14.1026] , [pacific,20.5128]])],[time(0.0020000000000000018)]). % answers([[arctic_ocean, 2.5641025641025643]])],[time(0.0020000000000000018)]). :- share_mp((t11/0,t12/0,t13/0)). t11:- locally_hide(thglobal:use_cyc_database,locally(t_l:tracing80, forall(must_test_801(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))). t12:- locally_hide(thglobal:use_cyc_database,locally(t_l:tracing80, forall(must_test_802(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))). t13:- locally_hide(thglobal:use_cyc_database,locally(t_l:tracing80, forall(must_test_803(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))). t14:- locally_hide(thglobal:use_cyc_database,locally(t_l:tracing80, forall(must_test_804(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))). answer804([OCEAN, RATIO]):- ocean(OCEAN), satisfy(( ALL^(setof(C, country(C), ALL), COUNT_BORDER^(numberof(BC, (one_of(ALL, BC), borders(BC, OCEAN)), COUNT_BORDER), COUNT_ALL^(card(ALL, COUNT_ALL), ratio(COUNT_BORDER, COUNT_ALL, RATIO)))) )). t15:- forall(answer804([OCEAN, RATIO]),wdmsg(answer804([OCEAN, RATIO]))).