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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.

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_1 Indian n33_a_voice_of_america__1_3_1_1_2_2_1 Ocean n33_a_voice_of_america__1_3_1_1_3_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 NLYR 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 N 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_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_1 NPR 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_2_2 NPR n33_a_voice_of_america__1_3_1_1_2->n33_a_voice_of_america__1_3_1_1_2_2 n33_a_voice_of_america__1_3_1_1_2_1->n33_a_voice_of_america__1_3_1_1_2_1_1 n33_a_voice_of_america__1_3_1_1_2_2->n33_a_voice_of_america__1_3_1_1_2_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_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))
                                      (NLYR (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))


%3 r_0033_0024__hit hit z_0033_5010___star_ * r_0033_0024__hit->z_0033_5010___star_ [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 [inv_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_0009__tsunami tsunami r_0033_0010__caused->r_0033_0009__tsunami [arg0] r_0033_0007__Indian_r_0033_0008__Ocean Indian Ocean r_0033_0009__tsunami->r_0033_0007__Indian_r_0033_0008__Ocean [nim] r_0033_0005__December December r_0033_0009__tsunami->r_0033_0005__December [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] 
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_0009__tsunami,r_0033_0005__December,gen).
arc(r_0033_0009__tsunami,r_0033_0007__Indian_r_0033_0008__Ocean,nim).
arc(r_0033_0010__caused,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,qual).
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,inv_arg1).
arc(r_0033_0024__hit,r_0033_0023__worst,nim).
arc(r_0033_0024__hit,z_0033_5010___star_,arg0).


%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_0009__tsunami tsunami r_0033_0010__caused->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 December r_0033_0009__tsunami->r_0033_0005__December [gen] r_0033_0007__Indian_r_0033_0008__Ocean Indian Ocean r_0033_0009__tsunami->r_0033_0007__Indian_r_0033_0008__Ocean [nim] 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_0022__the_r_0033_0025__countries->r_0033_0024__hit [inv_arg1] r_0033_0023__worst worst r_0033_0024__hit->r_0033_0023__worst [nim] z_0033_5010___star_ * r_0033_0024__hit->z_0033_5010___star_ [arg0] 
fof(formula,axiom,
    ? [R_0033_0001__THE_R_0033_0002__UNITED_R_0033_0003__NATIONS,R_0033_0005__DECEMBER,R_0033_0007__INDIAN_R_0033_0008__OCEAN,R_0033_0009__TSUNAMI,R_0033_0011__AROUND,R_0033_0023__WORST,Z_0033_5010___STAR_,R_0033_0024__HIT,R_0033_0022__THE_R_0033_0025__COUNTRIES,R_0033_0020__SEVEN,R_0033_0017__FISHING_R_0033_0018__INDUSTRIES,R_0033_0015__DAMAGE,R_0033_0012__520_R_0033_0013__MILLION,R_0033_0010__CAUSED,R_0033_0004__SAYS] :
      ( r_0033_0001__The_r_0033_0002__United_r_0033_0003__Nations(R_0033_0001__THE_R_0033_0002__UNITED_R_0033_0003__NATIONS)
      & r_0033_0005__December(R_0033_0005__DECEMBER)
      & r_0033_0007__Indian_r_0033_0008__Ocean(R_0033_0007__INDIAN_R_0033_0008__OCEAN)
      & r_0033_0011__around(R_0033_0011__AROUND)
      & r_0033_0023__worst(R_0033_0023__WORST)
      & z_0033_5010___star_(Z_0033_5010___STAR_)
      & r_0033_0004__says(R_0033_0004__SAYS)
      & has_arg1(R_0033_0004__SAYS,R_0033_0010__CAUSED)
      & r_0033_0010__caused(R_0033_0010__CAUSED)
      & has_arg1(R_0033_0010__CAUSED,R_0033_0012__520_R_0033_0013__MILLION)
      & r_0033_0012__520_r_0033_0013__million(R_0033_0012__520_R_0033_0013__MILLION)
      & has_r_0033_0014__in(R_0033_0012__520_R_0033_0013__MILLION,R_0033_0015__DAMAGE)
      & r_0033_0015__damage(R_0033_0015__DAMAGE)
      & has_r_0033_0016__to(R_0033_0015__DAMAGE,R_0033_0017__FISHING_R_0033_0018__INDUSTRIES)
      & r_0033_0017__fishing_r_0033_0018__industries(R_0033_0017__FISHING_R_0033_0018__INDUSTRIES)
      & has_r_0033_0019__in(R_0033_0017__FISHING_R_0033_0018__INDUSTRIES,R_0033_0020__SEVEN)
      & r_0033_0020__seven(R_0033_0020__SEVEN)
      & has_r_0033_0021__of(R_0033_0020__SEVEN,R_0033_0022__THE_R_0033_0025__COUNTRIES)
      & r_0033_0022__the_r_0033_0025__countries(R_0033_0022__THE_R_0033_0025__COUNTRIES)
      & has_inv_arg1(R_0033_0022__THE_R_0033_0025__COUNTRIES,R_0033_0024__HIT)
      & r_0033_0024__hit(R_0033_0024__HIT)
      & has_arg0(R_0033_0024__HIT,Z_0033_5010___STAR_)
      & has_nim(R_0033_0024__HIT,R_0033_0023__WORST)
      & has_qual(R_0033_0012__520_R_0033_0013__MILLION,R_0033_0011__AROUND)
      & has_arg0(R_0033_0010__CAUSED,R_0033_0009__TSUNAMI)
      & r_0033_0009__tsunami(R_0033_0009__TSUNAMI)
      & has_nim(R_0033_0009__TSUNAMI,R_0033_0007__INDIAN_R_0033_0008__OCEAN)
      & has_gen(R_0033_0009__TSUNAMI,R_0033_0005__DECEMBER)
      & has_arg0(R_0033_0004__SAYS,R_0033_0001__THE_R_0033_0002__UNITED_R_0033_0003__NATIONS) ) ).