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id_1549f_2
Ratio of Tags per Word for Sentence no: 4
Word Ambiguity Ratio: 1.125
Lookahead Start Active Chart
0-[d-the] 1-[n-World_Conference] 2-[av-on, p-on] 3-[n-Women] 4-[v-took_place] 5-[p-in] 6-[n-Beijing] 7-[x- .] 


New Ratio of Tags per Word after FSA Disambiguation: 
1
0-[d-the] 1-[n-World_Conference] 2-[p-on] 3-[n-Women] 4-[v-took_place] 5-[p-in] 6-[n-Beijing] 7-[x- .] 

0-[d-the] 1-[n-World_Conference] 2-[p-on] 3-[n-Women] 4-[v-took_place] 5-[p-in] 6-[n-Beijing] 7-[x- .] 


PennTreebank Style Tagging

4
the-dt
World_Conference-nnp
on-in
Women-nnp
took_place-vbd-nn
in-in
Beijing-nnp
. - punto

Tagging and Syntactic Constituency

[the-art, World_Conference-n, on-p, Women-n, took_place-vin, in-p, Beijing-n, . - punto]

f-[sn-[the-art-sn, World_Conference-n-sn, obl-[on-p-sp, Women-n-sn]], ibar-[took_place-vin-ibar], sp-[in-p-sp, Beijing-n-sn], cp-[. - punto-cp]] 

4


Functional and Syntactic Constituency

subj-[the-art-sn, World_Conference-n-sn, obl-[on-p-sp, Women-n-sn]]
ibar-[took_place-vin-ibar]
obl-[in-p-sp, Beijing-n-sn]

Output of Anaphora Resolution Module

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

############   TOPICS   ############
MAIN TOPIC:  world
SECONDARY TOPIC:  beijing
POTENTIAL TOPICS:  Women-id2 


Augmented Head Dependent Indexed Structures

'ncmod-modale'(on, 'World_Conference'-sn1, 'Women'-sn3).
'ncmod-prop'(in, take_place-cl3, beijing-sn2).
'subj-agent'(take_place-cl3, 'World_Conference'-sn1).
tense(past, '_', take_place).
voice(active, '_', take_place).

Semantic Interpretation and Informational Structure

[5, indirect, take_place, past, active, nil, nil, nil, indic, nil, attivita]
sinfo(5, main/prop, external, factive, culminated, foreground, attivita, take_place, past, narration, objective, nil)


id_1549f_2
Discourse Relations and Discourse Structure

sd_structure(id_1549f_2, 5, objective, narration, past, take_place, foreground, level, down(3-5))
p_o_view:narrator

