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PAPILLON 2002. Mathieu Lafourcade. LIRMM - France. Overwiew & Objectives. Lexical soup ... H : thesaurus hierarchy K concepts. Thesaurus Larousse = 873 concepts ... – PowerPoint PPT presentation

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Title: Pr


1
Automatically Populating Acception Lexical
Database through Bilingual Dictionaries and
Conceptual Vectors
PAPILLON 2002 Mathieu Lafourcade LIRMM - France
2
Overwiew Objectives
  • Lexical soup
  • what ? Bilingual dic Conceptual vectors
  • which heuristics ?
  • for what ? linking decision and quality
    assessment

3
Conceptual vectorsvector space
  • An idea
  • Concept combination a vector
  • Idea space
  • vector space
  • A concept
  • an idea a vector V
  • with augmentation V neighboorhood
  • Meaning space
  • vector space v

?
4
Conceptual vectors Thesaurus
  • H thesaurus hierarchy K concepts
  • Thesaurus Larousse 873 concepts
  • V(Ci) lta1, , ai, , a873gt
  • aj 1/ (2 Dum(H, i, j))

1/4
1
1/4
1/4
1/16
1/16
1/64
1/64
2
6
4
5
Conceptual vectors Concept c4peace
peace
conflict relations
hiérarchical relations
society
The world, manhood
6
Conceptual vectors Term peace
c4peace
7
Angular distance
  • DA(x, y) angle (x, y)
  • 0 ? DA(x, y) ? ?
  • if 0 then x y colinear same idea
  • if ?/2 then nothing in common
  • if ? then DA(x, -x) with -x anti-idea of x

x
x
?
y
8
Angular distance
  • DA(x, y) acos(sim(x,y))
  • DA(x, y) acos(x.y/xy))
  • DA(x, x) 0
  • DA(x, y) DA(y, x)
  • DA(x, y) DA(y, z) ? DA(x, z)
  • DA(0, 0) 0 and DA(x, 0) ?/2 by definition
  • DA(?x, ?y) DA(x, y) with ?? ? 0
  • DA(?x, ?y) ? - DA(x, y) with ?? lt 0
  • DA(xx, xy) DA(x, xy) ? DA(x, y)

9
Thematic distance
  • Examples
  • DA(tit, tit) 0
  • DA(tit, passerine) 0.4
  • DA(tit, bird) 0.7
  • DA(tit, train) 1.14
  • DA(tit, insect) 0.62
  • tit insectivorous passerine bird

10
Conceptual vector base
v
v
v
v
v
v
English entry base
French entry base
fleuve
  
river
  
rivière
acc y
map
acc
carte.2
carte.1
card.1
acc x
Malay entry base
Japanese entry base
acc z
sungai
acc x

  
  
  
  
  
  
Acception base
11
Conceptual vector base
v
v
v
v
v
v
French entry base
v
fleuve
v
fleuve
v
rivière
v

rivière

acc x
v
carte.2
v
carte.2
v
carte.1
v
carte.1
acc y
acc x
empty
acc z
  
  
  
Acception base
12
English Vectorized monolingualdictionary
English-French Bilingualdictionary
Left over meaning
demand
Association
v
demand
v
v
v
v
Vector space
Glosses 2
Equivalents 2
Glosses 2
Equivalents 2
Glosses 2
Equivalents 2
Glosses 2
Equivalents 2
Associations between definitions, vectors,
glosses and equivalents
13
Source Language
Target Language
Acceptions
already existing link
created link
W-SL i
equiv W-TL

W-TL
equiv W-SL,

  
warning if not close
vectors are close
W-SL i
W-TL
v
W-SL,
W-TL
v
  
W-TL
W-SL,
v
  
W-TL
W-SL,
v
  
left over acceptions
W-TL


  
14
Source Language
Target Language
Acceptions
W-TL1
Equiv W-SL,
v
  
W-TL1
Equiv W-SL,
v
  
v
W-TL1
Equiv W-SL,
  
W-TL1
Equiv

W-SL i
W-TL1,W-TL2,
v
  
W-TL2
Equiv W-SL,
v
  
W-TL2
Equiv W-SL,
v
  
v
W-TL2
Equiv W-SL,
  
W-TL2

Equiv
  

15
  
equiv W-TL
W-SL i
  
createdacception
  
  
W-SL i
equiv W-TL
refinement links
  
W-SL i
equiv W-TL


  
W-SL i
equiv W-TL

closest vector
W-SL i
equiv W-TL


  
W-SL i
equiv W-TL

16
W-SL i
equiv W-TL
  


W-SL j
equiv W-TL


  
W-SL j
equiv W-TL

1
equiv W-TL
W-SL i

  

  
W-SL j
equiv W-TL


  
W-SL j
equiv W-TL

2
W-SL i
equiv W-TL

  

  
W-SL j
equiv W-TL


  
equiv W-TL
W-SL j

closest vector
17
Conclusion
  • System in continuous learning
  • Evolving results
  • Hopefully converging
  • Assisting and begin assisted by
  • Vectorized lexical functions
  • Human annotators
  • Toward
  • Community of lexical agents
  • Lexical knowledge negotiation
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