% this file was generated by the following command(s):
%   bin/soap_server --models models --candc-printer xml --server nlp6.it.usyd.edu.au:9000 --log standard.log

:- multifile w/8, ccg/2, id/2.
:- discontiguous w/8, ccg/2, id/2.
:- dynamic w/8, ccg/2, id/2.

ccg(1,
 rp('S[dcl]',
  ba('S[dcl]',
   ba('NP',
    ba('NP',
     fa('NP[nb]',
      lf(1,1,'NP[nb]/N'),
      lf(1,2,'N')),
     fa('NP\NP',
      lf(1,3,'(NP\NP)/NP'),
      lex('N','NP',
       lf(1,4,'N')))),
    fa('NP\NP',
     lf(1,5,'(NP\NP)/NP'),
     lex('N','NP',
      lf(1,6,'N')))),
   fa('S[dcl]\NP',
    lf(1,7,'(S[dcl]\NP)/NP'),
    ba('NP',
     fa('NP[nb]',
      lf(1,8,'NP[nb]/N'),
      ba('N',
       lf(1,9,'N'),
       conj('conj','N','N\N',
        lf(1,10,'conj'),
        lf(1,11,'N')))),
     fa('NP\NP',
      lf(1,12,'(NP\NP)/(S[dcl]/NP)'),
      fc('S[dcl]/NP',
       tr('S[X]/(S[X]\NP)',
        lex('N','NP',
         fa('N',
          lf(1,13,'N/N'),
          lf(1,14,'N')))),
       fc('(S[dcl]\NP)/NP',
        lf(1,15,'(S[X]\NP)/(S[X]\NP)'),
        bx('(S[dcl]\NP)/NP',
         lf(1,16,'(S[dcl]\NP)/NP'),
         fa('(S[X]\NP)\(S[X]\NP)',
          lf(1,17,'((S[X]\NP)\(S[X]\NP))/NP'),
          ba('NP',
           fa('NP[nb]',
            lf(1,18,'NP[nb]/N'),
            lf(1,19,'N')),
           fa('NP\NP',
            lf(1,20,'(NP\NP)/NP'),
            lex('N','NP',
             lf(1,21,'N')))))))))))),
  lf(1,22,'.'))).

w(1, 1, 'The', 'the', 'DT', 'I-NP', 'O', 'NP[nb]/N').
w(1, 2, 'events', 'event', 'NNS', 'I-NP', 'O', 'N').
w(1, 3, 'of', 'of', 'IN', 'I-PP', 'O', '(NP\NP)/NP').
w(1, 4, 'April', 'April', 'NNP', 'I-NP', 'I-DAT', 'N').
w(1, 5, 'through', 'through', 'IN', 'I-PP', 'I-DAT', '(NP\NP)/NP').
w(1, 6, 'June', 'June', 'NNP', 'I-NP', 'I-DAT', 'N').
w(1, 7, 'damaged', 'damage', 'VBD', 'I-VP', 'O', '(S[dcl]\NP)/NP').
w(1, 8, 'the', 'the', 'DT', 'I-NP', 'O', 'NP[nb]/N').
w(1, 9, 'respect', 'respect', 'NN', 'I-NP', 'O', 'N').
w(1, 10, 'and', 'and', 'CC', 'I-NP', 'O', 'conj').
w(1, 11, 'confidence', 'confidence', 'NN', 'I-NP', 'O', 'N').
w(1, 12, 'which', 'which', 'WDT', 'B-NP', 'O', '(NP\NP)/(S[dcl]/NP)').
w(1, 13, 'most', 'most', 'RBS', 'B-NP', 'O', 'N/N').
w(1, 14, 'Americans', 'Americans', 'NNPS', 'I-NP', 'O', 'N').
w(1, 15, 'previously', 'previously', 'RB', 'I-ADVP', 'O', '(S[X]\NP)/(S[X]\NP)').
w(1, 16, 'had', 'have', 'VBD', 'I-VP', 'O', '(S[dcl]\NP)/NP').
w(1, 17, 'for', 'for', 'IN', 'I-PP', 'O', '((S[X]\NP)\(S[X]\NP))/NP').
w(1, 18, 'the', 'the', 'DT', 'I-NP', 'O', 'NP[nb]/N').
w(1, 19, 'leaders', 'leader', 'NNS', 'I-NP', 'O', 'N').
w(1, 20, 'of', 'of', 'IN', 'I-PP', 'O', '(NP\NP)/NP').
w(1, 21, 'China', 'China', 'NNP', 'I-NP', 'I-LOC', 'N').
w(1, 22, '.', '.', '.', 'O', 'O', '.').