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id_769F_3
Ratio of Tags per Word for Sentence no: 11
Word Ambiguity Ratio: 1.28571
Lookahead Start Active Chart
0-[n-Putin] 1-[n-will, v-will] 2-[n-win, v-win] 3-[d-the] 4-[d-2008] 5-[n-elections] 6-[x- .] 


New Ratio of Tags per Word after FSA Disambiguation: 
1
0-[n-Putin] 1-[v-will] 2-[v-win] 3-[d-the] 4-[d-2008] 5-[n-elections] 6-[x- .] 

0-[n-Putin] 1-[v-will] 2-[v-win] 3-[d-the] 4-[d-2008] 5-[n-elections] 6-[x- .] 


PennTreebank Style Tagging

11
Putin-nnp
will-md
win-vbd_vbn
the-dt
2008-cd
elections-nns
. - punto

Tagging and Syntactic Constituency

[Putin-n, will-vsup, win-vt, the-art, 2008-num, elections-n, . - punto]

f-[subj-[Putin-n-sn], ibar-[will-vsup-ibar, win-vt-ibar], sn-[the-art-sn, 2008-num-sn, elections-n-sn], cp-[. - punto-cp]] 

11


Functional and Syntactic Constituency

subj-[Putin-n-sn]
ibar-[will-vsup-ibar, win-vt-ibar]
obj-[the-art-sn, 2008-num-sn, elections-n-sn]

Output of Anaphora Resolution Module

all_prons([1-[]])
main  resolved as  Mr_Putin  with semantic index  id1
second  resolved as  elections  with semantic index  id8

############   TOPICS   ############
MAIN TOPIC:  'Mr_Putin'
SECONDARY TOPIC:  elections


Augmented Head Dependent Indexed Structures

det(elections-sn2, the).
'obj-theme_aff'(win-cl10, elections-sn2).
det(sn2, elections, 2008).
'subj-agent'(win-cl10, 'Putin'-sn1).
modal(win, will).
tense(pres, '_', win).
voice(active, '_', win).

Semantic Interpretation and Informational Structure

[12, indirect, win, fut, active, nil, will, nil, unreal, nil, attivita]
sinfo(12, main/prop, external, nonfactive, null, background, attivita, win, fut, narration, subjective, nil)


id_769F_3
Discourse Relations and Discourse Structure

sd_structure(id_769F_3, 12, subjective, narration, fut, win, background, level, down(10-12))
p_o_view:narrator

