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33_a_voice_of_america
The United Nations says December's Indian Ocean tsunami caused around 520 million in damage to fishing industries in seven of the worst hit countries.

%3 r_0033_0004__says says r_0033_0001__The_r_0033_0002__United_r_0033_0003__Nations The United Nations r_0033_0004__says->r_0033_0001__The_r_0033_0002__United_r_0033_0003__Nations [arg0] r_0033_0010__caused caused r_0033_0004__says->r_0033_0010__caused [arg1] r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami Indian Ocean tsunami r_0033_0010__caused->r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami [arg0] r_0033_0012__520_r_0033_0013__million 520 million r_0033_0010__caused->r_0033_0012__520_r_0033_0013__million [arg1] r_0033_0005__December_r_0033_0006___apos_s December 's r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami->r_0033_0005__December_r_0033_0006___apos_s [gen] r_0033_0011__around around r_0033_0012__520_r_0033_0013__million->r_0033_0011__around [qual] r_0033_0015__damage damage r_0033_0012__520_r_0033_0013__million->r_0033_0015__damage in r_0033_0017__fishing_r_0033_0018__industries fishing industries r_0033_0015__damage->r_0033_0017__fishing_r_0033_0018__industries to r_0033_0020__seven seven r_0033_0017__fishing_r_0033_0018__industries->r_0033_0020__seven in r_0033_0022__the_r_0033_0025__countries the countries r_0033_0020__seven->r_0033_0022__the_r_0033_0025__countries of r_0033_0024__hit hit r_0033_0024__hit->r_0033_0022__the_r_0033_0025__countries [arg1] r_0033_0023__worst worst r_0033_0024__hit->r_0033_0023__worst [nim] z_000_33_a_voice_of_america_62 r_0033_0024__hit->z_000_33_a_voice_of_america_62 [arg0] 
arc(r_0033_0004__says, r_0033_0001__The_r_0033_0002__United_r_0033_0003__Nations, arg0).
arc(r_0033_0004__says, r_0033_0010__caused, arg1).
arc(r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami, r_0033_0005__December_r_0033_0006___apos_s, gen).
arc(r_0033_0010__caused, r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami, arg0).
arc(r_0033_0010__caused, r_0033_0012__520_r_0033_0013__million, arg1).
arc(r_0033_0012__520_r_0033_0013__million, r_0033_0011__around, qual28).
arc(r_0033_0012__520_r_0033_0013__million, r_0033_0015__damage, r_0033_0014__in).
arc(r_0033_0015__damage, r_0033_0017__fishing_r_0033_0018__industries, r_0033_0016__to).
arc(r_0033_0017__fishing_r_0033_0018__industries, r_0033_0020__seven, r_0033_0019__in).
arc(r_0033_0020__seven, r_0033_0022__the_r_0033_0025__countries, r_0033_0021__of).
arc(r_0033_0024__hit, r_0033_0022__the_r_0033_0025__countries, arg1).
arc(r_0033_0024__hit, r_0033_0023__worst, nim64).
arc(r_0033_0024__hit, z_000_33_a_voice_of_america_62, arg0).


%3 r_0033_0024__hit hit z_000_33_a_voice_of_america_62 r_0033_0024__hit->z_000_33_a_voice_of_america_62 [arg0] r_0033_0023__worst worst r_0033_0024__hit->r_0033_0023__worst [nim] r_0033_0022__the_r_0033_0025__countries the countries r_0033_0024__hit->r_0033_0022__the_r_0033_0025__countries [arg1] r_0033_0020__seven seven r_0033_0020__seven->r_0033_0022__the_r_0033_0025__countries of r_0033_0017__fishing_r_0033_0018__industries fishing industries r_0033_0017__fishing_r_0033_0018__industries->r_0033_0020__seven in r_0033_0015__damage damage r_0033_0015__damage->r_0033_0017__fishing_r_0033_0018__industries to r_0033_0012__520_r_0033_0013__million 520 million r_0033_0012__520_r_0033_0013__million->r_0033_0015__damage in r_0033_0011__around around r_0033_0012__520_r_0033_0013__million->r_0033_0011__around [qual] r_0033_0010__caused caused r_0033_0010__caused->r_0033_0012__520_r_0033_0013__million [arg1] r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami Indian Ocean tsunami r_0033_0010__caused->r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami [arg0] r_0033_0005__December_r_0033_0006___apos_s December 's r_0033_0007__Indian_r_0033_0008__Ocean_r_0033_0009__tsunami->r_0033_0005__December_r_0033_0006___apos_s [gen] r_0033_0004__says says r_0033_0004__says->r_0033_0010__caused [arg1] r_0033_0001__The_r_0033_0002__United_r_0033_0003__Nations The United Nations r_0033_0004__says->r_0033_0001__The_r_0033_0002__United_r_0033_0003__Nations [arg0] 
fof(formula,axiom,
    ? [R_33_4_SAYS,R_33_1_THE_UNITED_NATIONS,R_33_10_CAUSED,R_33_7_INDIAN_OCEAN_TSUNAMI,R_33_5_DECEMBER_APOS_S,R_33_12_520_MILLION,R_33_11_AROUND,R_33_15_DAMAGE,R_33_17_FISHING_INDUSTRIES,R_33_20_SEVEN,R_33_24_HIT,Z_33_A_VOICE_OF_AMERICA_62,R_33_22_THE_COUNTRIES,R_33_23_WORST] :
      ( the_United_Nations(R_33_1_THE_UNITED_NATIONS)
      & december_apos_s(R_33_5_DECEMBER_APOS_S)
      & around(R_33_11_AROUND)
      & the_countries(R_33_22_THE_COUNTRIES)
      & worst(R_33_23_WORST)
      & says(R_33_4_SAYS,R_33_1_THE_UNITED_NATIONS,R_33_10_CAUSED)
      & caused(R_33_10_CAUSED,R_33_7_INDIAN_OCEAN_TSUNAMI,R_33_12_520_MILLION)
      & indian_Ocean_tsunami(R_33_7_INDIAN_OCEAN_TSUNAMI)
      & gen(R_33_7_INDIAN_OCEAN_TSUNAMI,R_33_5_DECEMBER_APOS_S)
      & 520_million(R_33_12_520_MILLION)
      & qual28(R_33_12_520_MILLION,R_33_11_AROUND)
      & in(R_33_12_520_MILLION,R_33_15_DAMAGE)
      & damage(R_33_15_DAMAGE)
      & to(R_33_15_DAMAGE,R_33_17_FISHING_INDUSTRIES)
      & fishing_industries(R_33_17_FISHING_INDUSTRIES)
      & in(R_33_17_FISHING_INDUSTRIES,R_33_20_SEVEN)
      & seven(R_33_20_SEVEN)
      & of(R_33_20_SEVEN,R_33_22_THE_COUNTRIES)
      & hit(R_33_24_HIT,Z_33_A_VOICE_OF_AMERICA_62,R_33_22_THE_COUNTRIES)
      & nim64(R_33_24_HIT,R_33_23_WORST) ) ).


n33_a_voice_of_america n33_a_voice_of_america__1_1_1_1 The n33_a_voice_of_america__1_1_2_1 United n33_a_voice_of_america__1_1_3_1 Nations n33_a_voice_of_america__1_2_1 says n33_a_voice_of_america__1_3_1_1_1_1_1 December n33_a_voice_of_america__1_3_1_1_1_2_1 's n33_a_voice_of_america__1_3_1_1_2_1 Indian n33_a_voice_of_america__1_3_1_1_3_1 Ocean n33_a_voice_of_america__1_3_1_1_4_1 tsunami n33_a_voice_of_america__1_3_1_2_1 caused n33_a_voice_of_america__1_3_1_3_1_1_1 around n33_a_voice_of_america__1_3_1_3_2_1 520 n33_a_voice_of_america__1_3_1_3_3_1 million n33_a_voice_of_america__1_3_1_3_4_1_1 in n33_a_voice_of_america__1_3_1_3_4_2_1_1 damage n33_a_voice_of_america__1_3_1_3_4_2_2_1_1 to n33_a_voice_of_america__1_3_1_3_4_2_2_2_1_1 fishing n33_a_voice_of_america__1_3_1_3_4_2_2_2_2_1 industries n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_1_1 in n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_1_1 seven n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_1_1 of n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_1_1 the n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_1_1 * n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2_1_1 worst n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_3_1 hit n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_3_1 countries n33_a_voice_of_america__1_4_1 . n33_a_voice_of_america__1 IP-MAT n33_a_voice_of_america__1_1 NP-SBJ n33_a_voice_of_america__1->n33_a_voice_of_america__1_1 n33_a_voice_of_america__1_2 VBP;_Tf_ n33_a_voice_of_america__1->n33_a_voice_of_america__1_2 n33_a_voice_of_america__1_3 CP-THT-OB1 n33_a_voice_of_america__1->n33_a_voice_of_america__1_3 n33_a_voice_of_america__1_4 PUNC n33_a_voice_of_america__1->n33_a_voice_of_america__1_4 n33_a_voice_of_america__1_1_1 D n33_a_voice_of_america__1_1->n33_a_voice_of_america__1_1_1 n33_a_voice_of_america__1_1_2 NPR n33_a_voice_of_america__1_1->n33_a_voice_of_america__1_1_2 n33_a_voice_of_america__1_1_3 NPRS n33_a_voice_of_america__1_1->n33_a_voice_of_america__1_1_3 n33_a_voice_of_america__1_1_1->n33_a_voice_of_america__1_1_1_1 n33_a_voice_of_america__1_1_2->n33_a_voice_of_america__1_1_2_1 n33_a_voice_of_america__1_1_3->n33_a_voice_of_america__1_1_3_1 n33_a_voice_of_america__1_2->n33_a_voice_of_america__1_2_1 n33_a_voice_of_america__1_3_1 IP-SUB n33_a_voice_of_america__1_3->n33_a_voice_of_america__1_3_1 n33_a_voice_of_america__1_3_1_1 NP-SBJ n33_a_voice_of_america__1_3_1->n33_a_voice_of_america__1_3_1_1 n33_a_voice_of_america__1_3_1_2 VBD;_Tn_ n33_a_voice_of_america__1_3_1->n33_a_voice_of_america__1_3_1_2 n33_a_voice_of_america__1_3_1_3 NP-OB1 n33_a_voice_of_america__1_3_1->n33_a_voice_of_america__1_3_1_3 n33_a_voice_of_america__1_3_1_1_1 NP-GEN n33_a_voice_of_america__1_3_1_1->n33_a_voice_of_america__1_3_1_1_1 n33_a_voice_of_america__1_3_1_1_2 NPR n33_a_voice_of_america__1_3_1_1->n33_a_voice_of_america__1_3_1_1_2 n33_a_voice_of_america__1_3_1_1_3 NPR n33_a_voice_of_america__1_3_1_1->n33_a_voice_of_america__1_3_1_1_3 n33_a_voice_of_america__1_3_1_1_4 N n33_a_voice_of_america__1_3_1_1->n33_a_voice_of_america__1_3_1_1_4 n33_a_voice_of_america__1_3_1_1_1_1 NPR n33_a_voice_of_america__1_3_1_1_1->n33_a_voice_of_america__1_3_1_1_1_1 n33_a_voice_of_america__1_3_1_1_1_2 GENM n33_a_voice_of_america__1_3_1_1_1->n33_a_voice_of_america__1_3_1_1_1_2 n33_a_voice_of_america__1_3_1_1_1_1->n33_a_voice_of_america__1_3_1_1_1_1_1 n33_a_voice_of_america__1_3_1_1_1_2->n33_a_voice_of_america__1_3_1_1_1_2_1 n33_a_voice_of_america__1_3_1_1_2->n33_a_voice_of_america__1_3_1_1_2_1 n33_a_voice_of_america__1_3_1_1_3->n33_a_voice_of_america__1_3_1_1_3_1 n33_a_voice_of_america__1_3_1_1_4->n33_a_voice_of_america__1_3_1_1_4_1 n33_a_voice_of_america__1_3_1_2->n33_a_voice_of_america__1_3_1_2_1 n33_a_voice_of_america__1_3_1_3_1 ADVP n33_a_voice_of_america__1_3_1_3->n33_a_voice_of_america__1_3_1_3_1 n33_a_voice_of_america__1_3_1_3_2 NUM n33_a_voice_of_america__1_3_1_3->n33_a_voice_of_america__1_3_1_3_2 n33_a_voice_of_america__1_3_1_3_3 N n33_a_voice_of_america__1_3_1_3->n33_a_voice_of_america__1_3_1_3_3 n33_a_voice_of_america__1_3_1_3_4 PP n33_a_voice_of_america__1_3_1_3->n33_a_voice_of_america__1_3_1_3_4 n33_a_voice_of_america__1_3_1_3_1_1 ADV n33_a_voice_of_america__1_3_1_3_1->n33_a_voice_of_america__1_3_1_3_1_1 n33_a_voice_of_america__1_3_1_3_1_1->n33_a_voice_of_america__1_3_1_3_1_1_1 n33_a_voice_of_america__1_3_1_3_2->n33_a_voice_of_america__1_3_1_3_2_1 n33_a_voice_of_america__1_3_1_3_3->n33_a_voice_of_america__1_3_1_3_3_1 n33_a_voice_of_america__1_3_1_3_4_1 P-ROLE n33_a_voice_of_america__1_3_1_3_4->n33_a_voice_of_america__1_3_1_3_4_1 n33_a_voice_of_america__1_3_1_3_4_2 NP n33_a_voice_of_america__1_3_1_3_4->n33_a_voice_of_america__1_3_1_3_4_2 n33_a_voice_of_america__1_3_1_3_4_1->n33_a_voice_of_america__1_3_1_3_4_1_1 n33_a_voice_of_america__1_3_1_3_4_2_1 N n33_a_voice_of_america__1_3_1_3_4_2->n33_a_voice_of_america__1_3_1_3_4_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2 PP n33_a_voice_of_america__1_3_1_3_4_2->n33_a_voice_of_america__1_3_1_3_4_2_2 n33_a_voice_of_america__1_3_1_3_4_2_1->n33_a_voice_of_america__1_3_1_3_4_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_1 P-ROLE n33_a_voice_of_america__1_3_1_3_4_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2 NP n33_a_voice_of_america__1_3_1_3_4_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2 n33_a_voice_of_america__1_3_1_3_4_2_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_1 N n33_a_voice_of_america__1_3_1_3_4_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_2 NS n33_a_voice_of_america__1_3_1_3_4_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_2 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3 PP n33_a_voice_of_america__1_3_1_3_4_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3 n33_a_voice_of_america__1_3_1_3_4_2_2_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_1 P-ROLE n33_a_voice_of_america__1_3_1_3_4_2_2_2_3->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2 NP n33_a_voice_of_america__1_3_1_3_4_2_2_2_3->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_1 NUM n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2 PP n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_1 P-ROLE n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2 NP n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_1 D n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2 IP-PPL n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_3 NS n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_3 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_1 NP-LGS n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2 ADVP-NIM n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_3 VVN;_Tn_ n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_3 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2_1 ADVS n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2_1->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_2_1_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_3->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_2_3_1 n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_3->n33_a_voice_of_america__1_3_1_3_4_2_2_2_3_2_2_2_3_1 n33_a_voice_of_america__1_4->n33_a_voice_of_america__1_4_1 
( (IP-MAT (NP-SBJ (D The;{the})
                  (NPR United;{United})
                  (NPRS Nations;{Nations}))
          (VBP;_Tf_ says;{say})
          (CP-THT-OB1 (IP-SUB (NP-SBJ (NP-GEN (NPR December;{December})
                                              (GENM <apos>s))
                                      (NPR Indian;{Indian})
                                      (NPR Ocean;{Ocean})
                                      (N tsunami;{tsunami}))
                              (VBD;_Tn_ caused;{cause})
                              (NP-OB1 (ADVP (ADV around;{around}))
                                      (NUM 520)
                                      (N million)
                                      (PP (P-ROLE in;{in})
                                          (NP (N damage;{damage})
                                              (PP (P-ROLE to;{to})
                                                  (NP (N fishing;{fishing})
                                                      (NS industries;{industry})
                                                      (PP (P-ROLE in;{in})
                                                          (NP (NUM seven;{seven})
                                                              (PP (P-ROLE of;{of})
                                                                  (NP (D the;{the})
                                                                      (IP-PPL (NP-LGS *)
                                                                              (ADVP-NIM (ADVS worst;{bad}))
                                                                              (VVN;_Tn_ hit;{hit}))
                                                                      (NS countries;{country}))))))))))))
          (PUNC .))
  (ID 33_a_voice_of_america;p00d0215))