% =================================================================== % 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). :- multifile(baseKB:expect_file_mpreds/1). :- dynamic(baseKB:expect_file_mpreds/1). % WHY DID I HAVE? :- prolog_load_context(file, File),(baseKB:expect_file_mpreds(File)->true;asserta(baseKB:expect_file_mpreds(File))). :- 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). :-kb_shared(ditrans_LF/13). :-discontiguous(regular_pres_db/1). :-discontiguous(regular_past_db/2). :-discontiguous(noun_form_db/3). :-discontiguous(noun_form_db_0/3). :-discontiguous(loc_pred_prep_db/3). % :- ensure_loaded(library(dra/tabling3/swi_toplevel)). :- kb_shared((contains0/2,country/8,city/3,borders/2,in_continent/2)). %:- kb_shared contains/2. % :- kb_shared fact_always_true/1. :- 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)). verb_type_to_kind(Var,Var2):-(var(Var);nonvar(Var2)),!,trace_or_throw(var_verb_type_to_kind(Var,Var2)). verb_type_to_kind(Aux+Have,tv):-Aux == aux, Have == have. verb_type_to_kind(_+Type,Kind):-must(nonvar(Type)),!,verb_type_to_kind(Type,Kind),!,must(not(Kind=have)). verb_type_to_kind(Kind,Kind):-must(not(Kind=have)). verb_type_db(Verb,Type):- no_repeats((one_must(verb_type_db_0(Verb,Type),verb_type_db_1(Verb,Type)))). verb_type_db_1( Look,main+iv):- iv_finsg(_Looks, Look),!. verb_type_db_1(Verb,main+ditrans(_)):-!, plt2, talk_db(iv,Verb,_,_,_,_). % ditrans(_) verb_type_db_1(_Verb,main+tv):-!. verb_type_db_1(_Verb,main+iv). txt_there_db(there,there). txt_not_db(not,not). % txt_not_db(never,never). txt_no_db(not,not). txt_no_db(no,no). % ================================================================= % General Dictionary % LEXICAL Data from newdic.pl terminator_db(.,_). terminator_db(?,?). terminator_db(!,!). 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_call(Quickly,'Adverb',(talk_db(adv,Quickly))). conj_db(and). conj_db(or). conj_db(But):-cyckb_t(partOfSpeech,_,'CoordinatingConjunction',But). 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_call(Above,'Preposition',talk_db(preposition,Above)). noun_form_db(Plu,Sin,PS):- noun_form_db_0(Plu,Sin,PS),must(Sin\==the). noun_form_db_0(Plu,Sin,pl) :- noun_plu_db(Plu,Sin),not_ccw(Plu). noun_form_db_0(Sin,Sin,sg) :- noun_sin_db(Sin),not_ccw(Sin). noun_form_db_0(Sin,Sin,sg):-text_bpos(Sin,'nn'),not_ccw(Sin). noun_form_db_0(Sin,Sin,sg):-text_bpos(N,Sin,'nn'),N>=0.5 ,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,_). memoize_pos_to_db(WHY,_CYCPOS,W1,W1):- t_l:old_text,!, WHY. memoize_pos_to_db(WHY,CYCPOS,W2,W1):- use_open_marker,!, memoize_pos_to_db_old(WHY,CYCPOS,W2,W1). memoize_pos_to_db(WHY,_CYCPOS,W2,W1):- W2= w(W1,_),!,WHY,must(nb_setarg(2,W2,set(WHY))). memoize_pos_to_db(WHY,_CYCPOS,W2,W1):- W2= w(W1,LIST),member(penn(WHY2),LIST),!,WHY2=WHY. memoize_pos_to_db(WHY,CYCPOS,W2,W1):- W2= w(W1,LIST), once(member(penn(DATA),LIST);DATA=open), ( DATA==open -> ((pos_to_db_precache(W1,GOODL),dmsg(W1=GOODL),nb_setarg(2,W2,GOODL))) ; DATA=GOODL ),!, (GOODL==[] -> WHY ; member(WHY-CYCPOS,GOODL)),must((nonvar(W1),nonvar(W2))). memoize_pos_to_db_old(WHY,_CYCPOS,W2,W1):- W2= w(W1,open),!,WHY,must(nb_setarg(2,W2,set(WHY))). memoize_pos_to_db_old(WHY,_CYCPOS,W2,W1):- W2= w(W1,set(WHY2)),!,WHY2=WHY. memoize_pos_to_db_old(WHY,CYCPOS,W2,W1):- W2= w(W1,DATA), ( DATA==open -> ((pos_to_db_precache(W1,GOODL),dmsg(W1=GOODL),nb_setarg(2,W2,GOODL))) ; DATA=GOODL ),!, (GOODL==[] -> WHY ; member(WHY-CYCPOS,GOODL)),must((nonvar(W1),nonvar(W2))). pos_to_db_precache(W,GOODL):- findall(WHY-CYCPOS, (member(theTextC(W,CYCPOS,WHY), [ theTextC(W,'Pronoun',context_pron_db(_In,_Place,W)), theTextC(W,'Pronoun',rel_pron_db(W,Case)), theTextC(W,'Pronoun',quantifier_pron_db(W,Det,Noun)), theTextC(W,'Pronoun',poss_pron_db(W,Gender,Person,Number)), theTextC(W,'Pronoun',pers_pron_db(W,Gender,Person,Number,Case)), theTextC(W,'Preposition',loc_pred_prep_db(W,_P,_OFPREP)), theTextC(W,'Number-SP',number_db(W,_I,_Number)), theTextC(W,'Determiner',det_db(W,Number,Det,_Def)), theTextC(W,'Symbol-SP',terminator_db(W,Type)), theTextC(W,'Symbol-SP',W=','), theTextC(W,'Pronoun',int_pron_db(W,Case)), theTextC(Prep,'Preposition',prep_db(Prep)), theTextC(Name,'ProperNoun',name_db([Name],_)), theTextC(Conj,'Conjunction',conj_db(Conj)), theTextC(Art,'Determiner', int_art_db(Art,_X,Agmt,_DX)), theTextC(W,'Noun',noun_form_db_0(W,Noun,Agmt)), theTextC(W,'Adjective',rel_adj_db(W,NW)), theTextC(W,'Adjective',sup_adj_db(W,NW)), theTextC(W,'Adjective',adj_db(W,Type)), theTextC(W,'Adverb',comp_adv_db(W)), theTextC(W,'Adverb',sup_adv_db(W)), theTextC(W,'Adverb',adverb_db(W)), theTextC(W,VerbPOS,v_db(W,_Verb,_Tense,Agmt,VerbPOS))]), no_repeats(WHY)),GOODL), ignore((GOODL==[],dmsg(W=[]))),!. posVerbOrAuxVerb(being,be,pres+part,_BEING). posVerbOrAuxVerb(_,be,_,'BeAux'). posVerbOrAuxVerb(_,have,_,'HaveAux'). posVerbOrAuxVerb(_,can,_,'Verb'). % _TINCAN posVerbOrAuxVerb(_,do,_,'DoAux'). posVerbOrAuxVerb(_,_,_+part,'Verb'). posVerbOrAuxVerb(_,_,_,'Verb'). v_db(W,Verb,Tense,Agmt,POSVerbOrAuxVerb):-no_repeats(v_db0(W,Verb,Tense,Agmt,POSVerbOrAuxVerb)). v_db0(W,Verb,Tense,Agmt,POSVerbOrAuxVerb):- verb_form_db(W,Verb,Tense,Agmt),once(posVerbOrAuxVerb(W,Verb,Tense,AuxVerb)),domain(POSVerbOrAuxVerb,['Verb',AuxVerb]). % v_db(W,Verb,Tense,Agmt,'Verb'):-!,verb_form_db(W,Verb,Tense,Agmt). v_db0(W,Verb,pres+_,_,'Modal'):- plt_call(W,'Modal',((el_holds(partOfSpeech,Should_TheWord,'Modal',W,_,_),el_holds('presentTense-Universal',Should_TheWord,Verb,_,_)))). verb_type_db_0(be,aux+be). regular_pres_db(have). regular_past_db(had,have). verb_form_db(have,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(_)). modal(can,could,able). %may,might %must,should,Ought to % obligated %Have to % have got to modal(will,would,shall). :-style_check(-singleton). regular_pres_db(Can):-modal(Can,Could,Able). verb_form_db(Could,Can,pres+fin,3+sg):-modal(Can,Could,Able). verb_form_db(Could,Can,past+fin,_):-modal(Can,Could,Able). verb_form_db(Can,Can,pres+part,_):-modal(Can,Could,Able). verb_form_db(Able,Can,past+part,_):-modal(Can,Could,Able). % verb_type_db_0(Can,aux+ditrans(_)):-modal(Can,Could,Able). :-style_check(+singleton). % ================================================================= % 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,agent,1,sg). poss_pron_db(your,agent,2,_). % might be a group 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,agentgroup,1,pl). poss_pron_db(their,agentgroup,3,pl). pers_pron_db(i,agent,1,sg,subj80). pers_pron_db(you,agent,2,_,_). % might be a group 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,agentgroup,1,pl,subj80). % dmiles added pers_pron_db(they,agent,3,pl,subj80). % dmiles removed % pers_pron_db(them,agentgroup,3,pl,subj80). pers_pron_db(me,agent,1,sg,compl(_)). pers_pron_db(him,masc,3,sg,compl(_)). pers_pron_db(her,fem,3,sg,compl(_)). pers_pron_db(us,agentgroup,1,pl,compl(_)). pers_pron_db(them,agentgroup,3,pl,compl(_)). how_many_db([how,many]). pronoun_LF(_Argree2B,np_head(generic,ADJS,Type),_MoreIn,_X,_Y,_ADJLIST,_OUT):-contains_var(typeOf,some(Type,ADJS)),!,fail. pronoun_LF(Argree2B,pronoun(FemMasc),MoreIn,X,_Y,[adj(lf(X,nlAgreement(X,Argree2B)&dbase_t(typeOf,X,FemMasc)))|MoreIn],FemMasc):-nonvar(Argree2B),nonvar(FemMasc), t_l:useAltPOS,!. pronoun_LF(Argree2B,FemMasc,MoreIn,X,_Y,[adj(lf(X,nlAgreement(X,Argree2B)&dbase_t(typeOf,X,FemMasc)))|MoreIn],FemMasc):-nonvar(Argree2B),nonvar(FemMasc),t_l:useAltPOS. kyqdhq(K,Kernel,Y,Q,Det,T,Head,Pred0,QMods):- K= np(_,Kernel,_),Y=Y, Q = quant(Det,T,Head,Pred0,QMods,Y),nop(dmsg(good_kyqdhq(K,Kernel,Y,Q,Det,T,Head,Pred0,QMods))),!. kyqdhq(K,Kernel,Y,Q,Det,T,Head,Pred0,QMods):- t_l:useAltPOS,t_l:chat80_interactive,dmsg(unused_kyqdhq(K,Kernel,Y,Q,Det,T,Head,Pred0,QMods)),fail. np_head_rewrite(np(Argree2B,C,MoreIn),Y,Quant,X,Det,np(Argree2B,np_head(generic,MoreOut,PronounTypePath),MoreIn),Y,Quant,Det):- not(contains_var(typeOf,C)), t_l:chat80_interactive,!,show_call(pronoun_LF(Argree2B,C,MoreIn,X,Y,MoreOut,PronounTypePath)). %np_head_rewrite(np(Argree2B,pronoun(B),[]),Y,Quant,X,Det,np(Argree2B,np_head(generic,[],dbase_t(typeOf,X,Y,B,Argree2B),[]),[]),Y,Quant,Det):- !. :-dynamic(subject_LF/5). :-dynamic(subject_slots_LF/7). :-dynamic(subj_obj_LF/7). :-dynamic(subj_obj_slots_LF/10). clause_head_arg1_wrong(Call):-arg(1,Call,LFType),arg(2,Call,Word),clause_head_arg1_wrong(Call,Word,LFType). clause_head_arg1_wrong(_,Word,LFType):- Word==river,!,LFType \== thing. clause_head_arg1_wrong(_,Word,LFType):- Word==country,!,LFType \== thing. clause_head_arg1_wrong(_,Word,_LFType):- Word==percentage,!. clause_head_arg1_wrong(_Call,_Word,_LFType):-!,fail. /* clause_head_arg1_wrong(Call,Word,LFType):- must(nonvar(LFType)), functor(Call,F,A),functor(Post,F,A), arg(1,Post,Other),arg(2,Post,Word), dif(LFType,Other), clause(Post,PreMaybe), call_if_required(PreMaybe), nonvar(Other), dmsg((error_wrong_clause(Word->Other,not(LFType)):-PreMaybe)),!. */ call_if_required(_PreMaybe). deduce_subject_LF(LFKind,Word,SType,SVar,LFProlog):-subject_slots_LF(LFKind,Word,SType,SVar,LFProlog,[],SlotS), var(SlotS),not(contains_var(SlotS,this(LFKind,Word,SType,SVar,LFProlog))),not_wrong_subj_lf(LFKind,Word). deduce_subject_LF(LFKind,Word,SType,SVar,LFProlog):-subject_LF(LFKind,Word,SType,SVar,LFProlog),not_wrong_subj_lf(LFKind,Word). deduce_subject_slots_LF(LFKind,Word,SType,SVar,LFProlog,Slots,SlotS):-subject_slots_LF(LFKind,Word,SType,SVar,LFProlog,Slots,SlotS),not_wrong_subj_lf(LFKind,Word). deduce_subject_slots_LF(LFKind,Word,SType,SVar,LFProlog,[],_):-subject_LF(LFKind,Word,SType,SVar,LFProlog),not_wrong_subj_lf(LFKind,Word). not_wrong_subj_lf(A,B):-not(wrong_subj_lf(A,B)). wrong_subj_lf(LFKind,Word):-clause_head_arg1_wrong(subject_slots_LF(LFKind,Word,_,_,_,_,_)),!. wrong_subj_lf(LFKind,Word):-clause_head_arg1_wrong(subject_LF(LFKind,Word,_,_,_)),!. wrong_subj_lf(_OK_LFKind,_OK_Word):-!,fail. deduce_subj_obj_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog):-subj_obj_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog),not_wrong_subj_obj_lf(LFKind,Word). deduce_subj_obj_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog):- subj_obj_slots_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog,EmptyList,SlotS,SlotD), [] == EmptyList, once((var(SlotS),var(SlotD), THIS=this(LFKind,Word,SType,SVar,DType,DVar,LFProlog), not(contains_var(SlotS,THIS)), not(contains_var(SlotD,THIS)))), not_wrong_subj_obj_lf(LFKind,Word). deduce_subj_obj_slots_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog,Slots,SlotD,SlotS):-subj_obj_slots_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog,Slots,SlotD,SlotS),not_wrong_subj_obj_lf(LFKind,Word). deduce_subj_obj_slots_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog,[],_,_):-subj_obj_LF(LFKind,Word,SType,SVar,DType,DVar,LFProlog),not_wrong_subj_obj_lf(LFKind,Word). not_wrong_subj_obj_lf(A,B):-not(wrong_subj_obj_lf(A,B)). wrong_subj_obj_lf(LFKind,Word):- clause_head_arg1_wrong(subj_obj_slots_LF(LFKind,Word,_,_,_,_,_,_,_,_)),!. wrong_subj_obj_lf(LFKind,Word):- clause_head_arg1_wrong(subj_obj_LF(LFKind,Word,_,_,_,_,_)),!. wrong_subj_obj_lf(_OK_LFKind,_OK_Word):-!,fail. % ================================================================= % PROPER INSTANCES OF % ================================================================= noun_plu_db(places,place). noun_plu_db(P,S):-plt_call(P,'Noun',plt_call(S,'Noun',(talk_db(noun1,S,P),not_ccw(P),not_ccw(S)))). 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). 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,isa_capital(X)). subj_obj_LF(property,capital,feature&city,X,feature&place&country,Y, capital(Y,X)). capital(C,Cap) :- country(C,_,_,_,_,_,Cap,_). isa_capital(C) :- capital(_X,C). /* IS A SPECILIZATION OF A CITY */ noun_plu_db(cities,city). subject_LF(thing,city,feature&city,X,city(X)). city(C) :- city(C,_,_). city(tehran,iran,1010). /* THAT INVOKES ACTION */ subj_obj_LF(trans,govern,feature&_,X,feature&place&country,Y,capital(Y,X)). 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,tSet,feature&tSet&_,X,tSet(X)). noun_plu_db(datatypes,datatype). subject_LF(thing,datatype,feature&datatype&_,X,ttFormatType(X)). subject_LF(thing,Type,feature&Type&_,X,isa(X,Type)):-plt,tSet(Type). noun_plu_db(TS,T):- noun_plu_db_via_types(TS,T). subject_LF(thing,Type,TYPEMASK,X,isa(X,Type)):- atom(Type), plt_call(Type,'Noun',((loop_check_chat80(tSet(Type)),atom(Type),gen_typemask(Type,TYPEMASK)))). subject_LF(restriction,Type,TYPEMASK,X,isa(X,Type)):- atom(Type), plt_call(Type,'Noun',((loop_check_chat80(tSet(Type)),atom(Type),gen_typemask(Type,TYPEMASK)))). subject_LF(restriction,Type,TYPEMASK,X,isa(X,Type)):- atom(Type), plt2, once(cw_db(Type,Adj)),Adj='Adjective',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)). % % chat80("how many types are there?"). % chat80("what formattypes are types?"). % test_chat80( [which,is,the,largest,african,country,?]). % chat80("how are you?"). % test_chat80("you flow"). parser_chat80:t11:- test_chat80("how many postures are there?"), test_chat80("what are the postures?"), test_chat80("what are the types?"), %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("what formattypes are there?"), !. parser_chat80:t22 :- test_chat80("how many countries are in antarctica?"), test_chat80("how many countries are in australia?"). t33:- test_chat80('I do not know if the can can do the dance called the can can.'). subj_obj_indirect_slots_LF(ditrans,verb_prep(Verb,Prep), feature&X1,X, feature&Y1,Y, feature&Z1,Z, callDitrans(Verb,Prep,X1,Y1,Z1,X,Y,Z),[],_DC2,_DC1,_DC0):-!. callDitrans(Verb,Prep,X1,Y1,Z1,verbPrep(subj80:X1,Verb,Prep),verbPrep(o:Y1,Verb,Prep),verbPrep(io:Z1,Verb,Prep)). /* A PROPERTY */ noun_plu_db(properties,property). subject_LF(thing,property,feature&mpred,X,objectProperty(X)). subj_obj_LF(property,property,feature&mpred,X,feature&tSet&_,Y, hasPropertyOrValue(Y,X)). /* IS A SPECILIZATION OF A MPRED */ noun_plu_db(mpreds,mpred). subject_LF(thing,mpred,feature&mpred,X,mpred(X)). objectProperty(P) :- hasProperty(_,P). hasPropertyOrValue(T,PorV):- (PorV=P;PorV=V), hasPropertyValue(T,P,V),(PorV=P;PorV=V). hasProperty(Type,P):-hasPropertyValue(Type,P,_). hasPropertyValue(SomeType,P,SomeVType):-mpred_arity(P,A),A>=2,argIsa_call(P,1,SomeType),argIsa_call(P,A,SomeVType). hasPropertyValue(Type,P,Area) :- deduce_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):-functor_h(Pred,F),(is_2nd_order_holds(F)->((arg(1,Pred,A),!,get_1st_order_functor(A,P)));P=F). /* THAT IS HAD */ /* subj_obj_LF(trans,have,feature&mpred,X,feature&tSet,Y,hasProperty(Y,X)). verb_root_db(have). 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,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):-subclass_backchaing(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_code(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) :- plt2_call(X,'Noun',( nonvar(ISA), isa(X,ISA),not_ccw(X))). name_template_db(X,feature& ISA & _) :- plt2_call(X,'Noun',( nonvar(ISA), isa(X,ISA),not_ccw(X))). name_template_db(X,feature& _ & ISA ) :-plt2_call(X,'Noun',( nonvar(ISA), isa(X,ISA),not_ccw(X))). % ================================================================= % FACETS (Adjectives) % ================================================================= 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(african,restr). adj_db(american,restr). adj_db(asian,restr). adj_db(european,restr). :-dynamic(not_ccw_db/1). :-dynamic(is_ccw_db/1). not_ccw(ok(W)):-must(nonvar(W)),!,not_ccw(W),!. not_ccw(W):-not_ccw_db(W),!. not_ccw(W):-is_ccw_db(W),!,fail. not_ccw(W):-not(lmcache:ilc(_,'new_dict.pl':_)),!,show_call(not((ccw_db0(W,G),!,ground(G))) -> asserta(not_ccw_db(W)) ; ((asserta(is_ccw_db(W)),!,fail))),!. not_ccw(W):-not((ccw_db0(W,G),!,ground(G))),!. % closed class words ccw_db(W,C):-loop_check_chat80(no_repeats(ccw_db0(W,C))). ccw_db0(W,C):-one_must(ccw_db1(W,C),one_must(ccw_db2(W,C),ccw_db3(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,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_chat80(adj_db(W,_))),not((ccw_db1(W,OTHER),OTHER\==C)). obviously_verb(W,Pres+Part,Num+Plu,VPOS):-part==Part->true;(Pres==pres,Num==3,Plu==sg,VPOS\='Verb',not(loop_check_chat80(once(noun_plu_db(W,_)),fail))). ccw_db4(W,VPOS):-nonvar(W),v_db(W,_,PP,NumPlu,VPOS),once((loop_check_chat80(obviously_verb(W,PP,NumPlu,VPOS)))),!. ccw_db4(W,VPOS):-v_db(W,_,PP,NumPlu,VPOS),once(loop_check_chat80(obviously_verb(W,PP,NumPlu,VPOS))). 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):-plt_call(W,POS,with_assertions(t_l:useOnlyExternalDBs, (( 'suffixString'(CycWord,String),String\='',atom_concat(_First,String,W),'derivationalAffixResultPOS'(CycWord,POS),simplePOS(POS,SPOS))))). simplePOS(POS,SIMP):-posName(SIMP),atom_concat(_,SIMP,POS). subject_LF(restriction,lf(X,Formula),feature&_,X,Formula):-nonvar(Formula),!. subject_LF(restriction,lf(Formula),feature&_,_X,Formula):-nonvar(Formula),!. subject_LF(restriction,AdjNounEan,feature&_,X,adjIsa(X,AdjNounEan)):-atom(AdjNounEan), plt_call(AdjNounEan,'Adjective',( adj_db(AdjNounEan,restr),not_ccw(AdjNounEan) )). adjIsa(E,C):- call_mpred(isa_backchaing(E,C)). adj_db(AdjNounEan,restr):- plt_call(AdjNounEan,'Adjective',(talk_db(adj,AdjNounEan),talk_db(noun1,AdjNounEan,_))). adj_db(AdjRestr,restr):-plt_call(AdjRestr,'Adjective',(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_call(Verb,'Verb', deduce_subj_obj_LF(trans,Verb,_,_,_,_,_)). verb_type_db_0(Verb,main+iv):-plt_call(Verb,'Verb', verb_LF(iv,Verb,_,_,_,_,_)). verb_type_db_0(Verb,main+ditrans(Prep)):- plt_call(Verb,'Verb', subj_obj_indirect_slots_LF(trans,verb_prep(Verb,Prep),_,_,_,_,_,_, _, _,_,_,_)). verb_type_db_0(Verb,main+TIV):-plt_call(Verb,'Verb', talk_db(TIV,Verb,_,_,_,_)). :- dmsg(warn(error(remove_falure_next_line))). verb_root_db(Govern):-plt_call(Govern,'Verb',(nop(verb_root_db),fail,talk_db(_Verb_i,Govern,_Governs,_GovernedImperfect,_Governing,_Governed))). regular_pres_db(Govern):-plt_call(Govern,'Verb',(nop(regular_pres_db),talk_db(_,Govern,_Governs,_GovernedImperfect,_Governing,_Governed))). regular_past_db(Governed,Govern):-plt_call(Governed,'Verb',(nop(regular_past_db),talk_db(_,Govern,_Governs,_GovernedImperfect,_Governing,Governed))). verb_form_db(Active,Verb,pres+part,_):-plt_call((Active),'Verb',((nop(active),talk_db(_,Verb,_VerbPL,_Imperfect,Active,_PastPart)))). verb_form_db(VerbPL,Verb,pres+fin,_):- t_l:useAltPOS ,plt2_call(VerbPL,'Verb',(nop(verb_ptl),talk_db(_,Verb,VerbPL,_Imperfect,_Active,_PastPart))). verb_form_db(Imperfect,Verb,past+fin,_):-plt_call(Imperfect,'Verb',(nop(imperfect),talk_db(_,Verb,_VerbPL,Imperfect,_Active,_PastPart))). verb_form_db(PastPart,Verb,past+part,_):-plt_call((PastPart),'Verb',(nop(past_part),talk_db(_,Verb,_VerbPL,_Imperfect,_Active,PastPart))). verb_form_db(VerbS,Verb,pres+part,_+sg):-plt_call(VerbS,'Verb',((nop(root_active),(atom(VerbS)->atom_concat(Verb,'s',VerbS);true),cw_db_code(Verb,'Verb'),atom(Verb),atom_concat(Verb,'s',VerbS)))). 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). subj_obj_LF(trans,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) :- longitude(X1,L1), longitude(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) :- longitude(X1,L1), longitude(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,_). subj_obj_LF(trans,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). verb_LF(iv,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). verb_LF(iv,drain,feature&river,X,drains(X,Y), [slot(prep(into),feature&place&_,Y,_,free)],_). drains(R,S) :- river_pathlist(R,L), first(L,S). 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). verb_LF(iv,flow,feature&river,X,call(flows,X,Y), [slot(prep(through),feature&place&_,Y,_,free)],_). verb_LF(iv,flow,feature&river,X,call(flows,X,Y,Z), [slot(prep(into),feature&place&_,Z,_,free), slot(prep(from),feature&place&_,Y,_,free)],_). verb_root_db(Look):- clex_verb(_Formed,Look,_Iv,_Finsg). regular_pres_db(Look):- no_loop_check(verb_root_db(Look)). regular_past_db(Looked,Look):-clex_verb(Looked,Look,_Iv,pp). verb_form_db(Looks,Look,pres+fin,3+sg):- clex_verb(Looks,Look,_,finsg). verb_form_db(LookPL,Look,pres+fin,3+pl):- clex_verb(LookPL,Look,_,infpl). verb_form_db(Looking,Look,pres+part,_):- (atom(Looking)->atom_concat(Look,'ing',Looking);var(Looking)),no_loop_check(verb_root_db(Look)),atom(Look),atom_concat(Look,'ing',Looking). verb_type_db_0(Look,main+ITDV):- clex_verb(_Formed,Look,ITDV,_Finsg). verb_LF(_,Assign,feature&_,X,dbase_t(Assign,X,Y), [slot(prep(To),feature&_,Y,_,free)],_):- clex_verb(_Assigned, Assign, dv(To),_). verb_LF(_,Look,feature&_,X,dbase_t(Look,X,Y), [slot(prep(At),feature&_,Y,_,free)],_):- (tv_infpl(S,S);tv_finsg(S,S)),atomic_list_concat([Look,At],'-',S). % verb_LF(iv,Look,feature&_,X,dbase_t(Look,X,Y,Z), [slot(prep(at),feature&_,Z,_,free), slot(prep(with),feature&_,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_0(proportion,proportion,X):-member(X,[pl,sg]). 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_0(percentage,percentage,X):-member(X,[pl,sg]). 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,_). subj_obj_LF(trans, 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,U1)) :- \+ \+ (U1==U2 -> X1 > X2 ; (ratio_db(U1,U2,M1,M2), X1*M1 > X2*M2)). sup_adj_db(Biggest,Big):-plt2_call(Big,'Adjective',plt2_call(Biggest,'Adjective',talk_db(superl,Big,Biggest))). sup_adj_db(Biggest,Big):-plt_call(Big,'Adjective',plt_call(Biggest,'Adjective',adj_itr_sup(Biggest,Big))). % /* Comparative */ rel_adj_db(Bigger,Big):-plt2_call(Big,'Adjective',plt_call(Bigger,'Adjective',talk_db(comp,Big,Bigger))). rel_adj_db(Bigger,Big):-plt_call(Big,'Adjective',plt_call(Bigger,'Adjective',adj_itr_comp(Bigger,Big))). 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_call(Big,'Adjective',(talk_db(superl,Big,_Biggest))). adj_db(Big,quant):-plt_call(Big,'Adjective',(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):-atom(F),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,Fisrt),append(Fisrt,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). :-kb_shared(must_test_801/3). 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], []))), 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), [arg(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), [arg(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), [arg(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), aggregate(max, C, B)), place(A), in_ploc(B, A)))), qplan((answer80([F]):-E^D^ (setof(C:B, (country(B), area(B, C)), D), aggregate(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), [arg(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), [arg(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), aggregate(max, B, A)))), qplan((answer80([D]):-C^ (setof(B:A, (african(A), {country(A)}, area(A, B)), C), aggregate(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), [arg(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), [arg(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), [arg(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), [arg(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), [arg(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, name(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), [arg(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]]), aggregate(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), aggregate(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), [arg(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), [arg(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), [arg(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), [arg(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), [arg(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), [arg(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), [arg(dir, np(3+pl, np_head(quant(same, nb(10)), [], million), []))], []))]))]), verb(border, active, pres+fin, [], pos), [arg(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, 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), [arg(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]])],[time(0.0020000000000000018)]). 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_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), [arg(pred, value(adj(large), wh(measure&area-B)))], []))), sem((answer80([A]):-B^ (C^ (setof(D:E, (country(E), area(E, D), american(E)), C), aggregate(min, C, B)), area(B, A)))), qplan((answer80([E]):-D^C^ (setof(B:A, (american(A), {country(A)}, area(A, B)), C), aggregate(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), [arg(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), [arg(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), [arg(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), aggregate(total, B, A)))), qplan((answer80([E]):-D^ (setof(C:[B], (southof(B, equator), area(B, C), {country(B)}, {\+in_ploc(B, australasia)}), D), aggregate(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), [arg(dir, np(3+sg, name(mediterranean), []))], []))]), verb(border, active, pres+fin, [], pos), [arg(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), [arg(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), [arg(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), [arg(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), [arg(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), [arg(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_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), [arg(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), aggregate(max, B, A)))), qplan((answer80([D]):-C^ (setof(B:A, (african(A), {country(A)}, area(A, B)), C), aggregate(max, C, D)))), answers([sudan])],[time(0.0)]). :-share_mp((t1/0,t12/0,t13/0)). t1:- with_no_assertions(lmconf:use_cyc_database,with_assertions(t_l:tracing80, forall(must_test_801(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))). t12:- with_no_assertions(lmconf:use_cyc_database,with_assertions(t_l:tracing80, forall(must_test_802(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))). t13:- with_no_assertions(lmconf:use_cyc_database,with_assertions(t_l:tracing80, forall(must_test_803(U,R,O),once(ignore(must_det(process_run_diff(report,U,R,O))))))).