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Learning word meanings

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Title: Learning word meanings


1
Learning word meanings

2
Concept learning review
  • Simple associations not enough
  • Goal direction / determining tendency
  • Essences for some types of concept (natural
    kinds)
  • Defining features present early for some concepts
    (robber)
  • Characteristic ? defining for others (uncle)

3
Concept learning review ctd
  • Concept of race
  • Interaction of universal / innate part with
    social learning
  • A developmental approach

4
Concept learning review ctd
  • But
  • Simple associationism illuminates asymmetric
    category learning
  • Its failures highlight what remains to be
    explained
  • Its limitations dont mean we cant model concept
    learning

5
Overview of lecture
  1. The computational problem
  2. Constraints that might help
  3. Summary

6
A. The computational problem
  • 1. Quines rabbit
  • 2. Searching a concept space
  • 3. Winstons arch

7
  • Gavagai

8
  • Inductive concept learning
  • (eats-meat fluffy small red)
  • (eats-meat fluffy big red) -
  • (eats-fruit fluffy small red) -
  • (eats-fruit smooth small red) -
  • (eats-meat fluffy small red)
  • What's the concept?
  • (eats-meat fluffy small)
  • Can a concept like this be learned automatically?

9
  • A search problem
  • For a given number of attributes, a space can be
    defined of possible concepts
  • ()
  • (eats-meat) (eats-fruit) (fluffy)
    (smooth) ...
  • (eats-meat fluffy) (eats-meat
    smooth) (eats-fruit fluffy)...
  • (eats-meat fluffy small) (eats-meat smooth
    small) ...
  • etc.
  • Operators generalisation specialisation

10
  • Generalisation
  • Cover more examples
  • drop an attribute from a concept
  • First positive case initialises concept
  • (eats-meat fluffy small red)
  • (eats-meat fluffy small blue)
  • Generalise (eats-meat fluffy small)
  • This is a 'move in concept space'

11
  • Specialisation
  • Cover fewer examples
  • add an attribute to a concept
  • (eats-meat fluffy)
  • (eats-meat fluffy) -
  • Specialise try (eats-meat fluffy small)
  • a 'move in concept space'

12
Winston's arch learner

13
B. Constraints that might help
  • 1. General expectations
  • 2. Cognitive constraints
  • 3. Language form (syntax) constraints
  • 4. Pragmatic constraints
  • 5. World knowledge

14
Balaban Waxman (1997)
  • 9 month old children
  • prediction - if child forms category while
    viewing instance
  • 1. they get bored (habituate)
  • 2. they'll show a novelty preference
  • is the effect greater with naming?
  • 9 rabbits then a pig and a rabbit
  • More children showed pig preference (sig.)
  • with words than tones accompanying

15
Waxman Markow (1995)
  • novelty preference method
  • 12-13 mths - N or Adj (novel word), or no label
  • Train 4 instances (eg. 4 animals)
  • Test choice of new instance, or non-member
  • This one is an X Novelty preference
  • This one is X-ish Novelty preference
  • Look at this No novelty preference

16
Waxman Markow ctd
  • Words prompt (very young) children to form
    concepts
  • A general expectation about word forms
  • The infants didnt differentiate between the noun
    and adjective form
  • However
  • Children with a high vocabulary
  • facilitated superordinate but not basic level
    category formation
  • Children with a low vocabulary
  • neither clearly assisted

17
Booth Waxman (2002)
  • Stages 1 and 2 Training
  • Stage 1 Familiarisation
  • 4 novel objects with characteristic shape
    colour
  • This one is a dax, and this one,
  • Look what I can do with this one demo
  • Look at this one
  • Stage 2 Contrast

18
Booth Waxman ctd
  • Stage 3 Generalisation
  • Forced choice between a new instance and a
    non-member
  • Can you find me another one of these?
  • At 14 mths, demo of function helps
  • - because it focuses child on a relevant subset
    of properties

19
Cognitive constraints
  • Perceptual constraints eg. shape
  • Constraints can be learned
  • Ontological constraint
  • Taxonomic constraint
  • Mutual exclusivity

20
Landau, Smith Jones (1988)
Is this a Dax?
Does this one match?
NO
YES
NO
YES
21
Jones, Smith Landau (1991)
Trained example
.53
.50
.76
.48
.82
.80
22
Soja, Carey, Spelke (1991)
  • 2 yrs
  • Novel object introduced, described, and handled
  • My blicket, this blicket
  • Then a forced choice point to the blicket

23
Soja et al. ctd
  • Object learned
  • another same shape different stuff
  • or three little chunks same stuff
  • Substance learned
  • another pile or slick the same shape, but
    different stuff
  • or three blobs the same stuff

24
Soja et al. ctd
  • If just ask to choose (no trained item, no word)
    responses were at chance
  • another same shape different stuff
  • three little chunks same stuff
  • and
  • another pile or slick the same shape, but
    different stuff
  • three blobs the same stuff

25
Soja et al. ctd
  • By 2 years
  • Children know about the distinction between
    objects and substances
  • And they use it to organise the generalisation of
    word meanings

26
Colunga Smith (2003)
  • Previously
  • (Soja, Carey, Spelke, 1991, Cognition, 38,
    pp179-211)
  • Children aged 24/30 months
  • solid objects ? same shape
  • non-solid objects ? same material
  • But not at 18 months
  • Hypothesis learn this pattern by association
  • First 300 words
  • Most denote solid objects, objects that have a
    consistent shape
  • and non-solid mostly denote substances
  • i.e. child learns to apply this mapping pattern
    from associations present in first words learned

27
Colunga Smith (2003)
  • Output units words
  • Hidden units
  • Inputs shape substance solid, not
    s.
  • Train ball ball-shape random
    1 0
  • Test novel shapes/materials
  • Prediction - hidden unit activation patterns
    ("representations") will be similar for
  • non-solid / same material
  • or
  • solid / same shape

28
Colunga Smith (2003)
  • Prediction - hidden unit activation patterns
    ("representations") will be similar when
  • non-solid and same material
  • solid and same shape
  • Testing
  • Forced choice Pick shape
  • non-solid / same material 30
  • solid / same shape 55

29
Markman Hutchinson (1984)
  • Taxonomic constraint
  • words refer to whole objects of same type
  • 3-4 year old children
  • Target picture eg. poodle
  • Test pictures eg. alsation or dog food
  • Give the puppet the one thats the same.
  • without label - prefer thematic
  • with label - prefer taxonomic

30
Markman Wachtel (1988)
  • mutual exclusivity constraint
  • - two words dont mean the same thing
  • Expt 1 (3 years old)
  • Offer child choice of objects, one unfamiliar.
    Familiar object already has a name.
  • Give me a merk
  • Children tend to choose the novel object

31
Markman Wachtel (1988)
  • Expt 2 to check for response bias
  • Present one object (with a salient part)
  • FAMILIAR fish (fin)
  • UNFAMILIAR microscope (platform)
  • Which is the fripe, the whole thing or just this
    part?
  • - What predictions do the constraints make?
  • whole object constraint?
  • mutual exclusivity?
  • 20 chose part for unfamiliar object
  • 57 chose part for familiar object

32
Syntactic constraints
  • General expectation differentiates into more
    specific, syntactically driven, expectations
  • Soja
  • Language specificity

33
Syntax a very brief intro!
  • Word order indicates relationships among event
    participants
  • The boy kicked the dog
  • Part of speech is indicated by word order
    function words, and morphology
  • The boy function word ( closed class word)
  • kicked morphology (changes word shape)

34
Syntax brief intro ctd
  • Word order indicates relationships among event
    participants
  • Part of speech is indicated by word order,
    function words, and morphology
  • In some languages, morphology can do nearly all
    the work, and word order matters less (eg. Latin)

35
Waxman Booth (2001 2003)
  • 1. Training on 4 purple animals, presented in 2
    pairs (same colour, same category)
  • 2. Contrast example orange carrot
  • 3. Then test generalisation
  • 11 mths 14 mths
  • Nouns
  • Category new animal, purple or purple
    plate 0.57 0.68
  • Property new animal, purple or new animal,
    blue 0.55 0.44
  • Adjectives
  • Category new animal, purple or purple
    plate 0.59 0.50
  • Property new animal, purple or new animal,
    blue 0.58 0.52
  • No word
  • Category new animal, purple or purple
    plate 0.46 -
  • Property new animal, purple or new animal,
    blue 0.49 -

36
Soja, Carey, Spelke (1991)
  • 2 yrs
  • Novel object introduced, described, and handled
  • My blicket, this blicket
  • Then a forced choice point to the blicket

37
Soja et al. ctd
  • Object learned
  • another same shape different stuff
  • or three little chunks same stuff
  • Substance learned
  • another pile or slick the same shape, but
    different stuff
  • or three blobs the same stuff

38
Soja et al. ctd
  • If just ask to choose (no trained item, no word)
    responses were at chance
  • another same shape different stuff
  • three little chunks same stuff
  • and
  • another pile or slick the same shape, but
    different stuff
  • three blobs the same stuff

39
Soja et al. ctd
  • By 2 years
  • Children know about the distinction between
    objects and substances
  • And they use it to organise the generalisation of
    word meanings

40
Soja et al. (1991)
  • If the learned object was introduced with
    selective syntax
  • a blicket
  • some blicket
  • it made no difference

41
Soja (1992)
  • 2 and 2.5 year olds who had mastered mass-count
    syntax in their speaking
  • Were partly sensitive to syntax in word learning
  • GENERALISES TO
  • some substance substance
  • a substance bounded pile

42
Language specificity
  • English, Spanish - plural marks noun
  • English - mass/count distinction
  • draws attention to shape
  • Korean - classifier language
  • Experiment (3-5 years n 16)
  • novel word applied to an object "fep", a magnet
  • choice cube of same substance
  • wood block same shape
  • English, Spanish - prefer shape similar
  • Korean - prefer substance

43
Language specificity ctd
  • But, classifiers highlight shape
  • Empitsu o gohon kudasi
  • pencil five long thin given
  • Yonpil tasot caru
  • pencil five long thin

44
Pragmatic influences
  • Principle of contrast
  • Clark (1993)
  • - every difference of form marks difference in
  • meaning
  • - economical for learning
  • - a pragmatic principle
  • -- used once understand speaker is
  • intentional
  • For Clark, contrast means any difference in
    meaning (including connotation, register
    dialect).
  • Identity of reference is not sufficient

45
  • Tomasello Barton (1994) DevPsych 30 639-650
  • 2 years "Let's go find the toma"
  • look in one of buckets (5)
  • Either find it straight away
  • or
  • first find and reject two
  • ("oh no", scowl, put back)
  • then find the right thing

46
  • Akhtar Tomasello (1996) 2 years
  • Similar expt but one (distinctively shaped)
    bucket is shut and can't be opened
  • Pre-play, so that child is familiar with the
    objects in each bucket (no naming)
  • Put them back
  • Adult - "Now, let's find the toma!"
  • Adult expresses disappointment at no access, but
    plays with other objects
  • Learned equally well whether no access or did
    retrieve

47
Role of world knowledge
  • Schank, Collins Hunter (1986)
  • Hijackings cuba
  • generalisation? cuba?
  • Hijacking libya
  • syntactically, do what?
  • drop destination as a dimension?
  • or generalise feature content?
  • e.g. warm country?
  • Target concept - a model of how terrorists select
    destinations
  • Which are relevant features has to be worked out
  • often not perceptually available

48
C. Summary
  • 1. Quines rabbit the problem
  • 2. Constraints guide search of the space
  • 3. A variety of factors influence learning word
    meanings

49
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