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id_123F_2
Ratio of Tags per Word for Sentence no: 7
Word Ambiguity Ratio: 1.6
Lookahead Start Active Chart
0-[n-Nokia] 1-[n-produces, v-produces] 2-[a-mobile, n-mobile] 3-[n-chips, v-chips] 4-[x- .] 


New Ratio of Tags per Word after FSA Disambiguation: 
1.4
0-[n-Nokia] 1-[n-produces, v-produces] 2-[a-mobile, n-mobile] 3-[n-chips] 4-[x- .] 

0-[n-Nokia] 1-[n-produces, v-produces] 2-[a-mobile, n-mobile] 3-[n-chips] 4-[x- .] 


PennTreebank Style Tagging

7
Nokia-nnp
produces-vbz
mobile-jj
chips-nns
. - punto

Tagging and Syntactic Constituency

[Nokia-n, produces-vt, mobile-ag, chips-n, . - punto]

f-[subj-[Nokia-n-sn], ibar-[produces-vt-ibar], sn-[mobile-ag-sn, chips-n-sn], cp-[. - punto-cp]] 

7


Functional and Syntactic Constituency

subj-[Nokia-n-sn]
ibar-[produces-vt-ibar]
obj-[mobile-ag-sn, chips-n-sn]

Output of Anaphora Resolution Module

all_prons([1-[]])
main  resolved as  chipmaker  with semantic index  id3
second  resolved as  nokia  with semantic index  id5

############   TOPICS   ############
MAIN TOPIC:  chipmaker
SECONDARY TOPIC:  nokia


Augmented Head Dependent Indexed Structures

mod(sn2, chips, mobile).
'obj-tema_eff'(produce-cl6, chips-sn2).
'subj-actor'(produce-cl6, nokia-sn1).
tense(pres, '_', produce).
voice(active, '_', produce).

Semantic Interpretation and Informational Structure

[8, indirect, produce, pres, active, nil, nil, nil, indic, nil, attivita]
sinfo(8, main/prop, external, factive, null, background, attivita, produce, pres, narration, objective, nil)


id_123F_2
Discourse Relations and Discourse Structure

sd_structure(id_123F_2, 8, objective, narration, pres, produce, background, level, down(6-8))
p_o_view:narrator

