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*********************************************************************************
id_573F_2
Ratio of Tags per Word for Sentence no: 5
Word Ambiguity Ratio: 1.33333
Lookahead Start Active Chart
0-[n-Tony_Blair] 1-[n-belongs, v-belongs] 2-[p-to] 3-[d-the] 4-[n-Labor_Party, q-Labor_Party] 5-[x- .] 


New Ratio of Tags per Word after FSA Disambiguation: 
1.16667
0-[n-Tony_Blair] 1-[v-belongs] 2-[p-to] 3-[d-the] 4-[n-Labor_Party, q-Labor_Party] 5-[x- .] 

0-[n-Tony_Blair] 1-[v-belongs] 2-[p-to] 3-[d-the] 4-[n-Labor_Party, q-Labor_Party] 5-[x- .] 


PennTreebank Style Tagging

5
Tony_Blair-nnp
belongs-vbz
to-to
the-dt
Labor_Party-nnp
. - punto

Tagging and Syntactic Constituency

[Tony_Blair-n, belongs-vin, to-p, the-art, Labor_Party-n, . - punto]

f-[subj-[Tony_Blair-n-sn], ibar-[belongs-vin-ibar], sp-[to-p-sp, the-art-sn, Labor_Party-n-sn], cp-[. - punto-cp]] 

5


Functional and Syntactic Constituency

subj-[Tony_Blair-n-sn]
ibar-[belongs-vin-ibar]
obl-[to-p-sp, the-art-sn, Labor_Party-n-sn]

Output of Anaphora Resolution Module

all_prons([1-[]])
main  resolved as  Blair  with semantic index  id1
second  resolved as  Labor_Party  with semantic index  id5

############   TOPICS   ############
MAIN TOPIC:  'Blair'
SECONDARY TOPIC:  'Labor_Party'


Augmented Head Dependent Indexed Structures

det('Labor_Party'-sn2, the).
'iobj-goal'(to, belong-cl5, 'Labor_Party'-sn2).
'subj-actor'(belong-cl5, 'Tony_Blair'-sn1).
voice(active, '_', belong).

Semantic Interpretation and Informational Structure

[6, indirect, belong, nil, active, nil, nil, nil, indic, nil, attivita]
sinfo(6, main/prop, external, factive, null, background, attivita, belong, nil, explanation, objective, nil)


id_573F_2
Discourse Relations and Discourse Structure

sd_structure(id_573F_2, 6, objective, explanation, nil, belong, background, level, down(4-6))
p_o_view:narrator

