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Human simulations of vocabulary learning

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They spot that ' cat ' is uttered most frequently when there is a cat around ... Syntactic structures in which words occur (e.g. a verb with one subject and two ... – PowerPoint PPT presentation

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Title: Human simulations of vocabulary learning


1
Human simulations of vocabulary learning
Gillette, Gleitman, Gleitman, Lederer
  • Présentation Interface Syntaxe-Psycholinguistique
  • Y-Lan BOUREAU

2
Outline
  • Some background
  • The problem to be solved
  • Facts nouns acquisition precedes verbs
    acquisition
  • Existing theory
  • Gillette et al.s hypothesis
  • Simulation experiment
  • Learning from observation
  • Learning from linguistic hints
  • Discussion

3
The problem of language learning
  • Children learn language from scratch
  • Traditional hypothesis
  • Children hear adults speak
  • They spot that cat is uttered most frequently
    when there is a cat around
  • They infer that cat means cat
  • But babies vocabulary does not reflect input
    frequencies
  • much more nouns than verbs in babies vocabulary

4
Nouns are learnt earlier
  • A conceptual hypothesis
  • Verbs are conceptually more difficult
  • So cannot be learnt until babies display adequate
    conceptual knowledge
  • Alternative hypothesis information requirements
  • Verbs require some syntax to be already acquired
    (e.g. I know that Mommy is coming)

5
Pairing word to world
  • Three sources of information
  • Nonlinguistic evidence (e.g. Mommy says cat
    when the cat is there)
  • Linguistic evidence
  • Co-occurrence of semantically related words in
    sentences (e.g. food names usually appear with
    verbs like eat )
  • Syntactic structures in which words occur (e.g. a
    verb with one subject and two complements is
    likely to be of the give kind)

6
Hypothesis
  • Hypothesis the baby
  • (1) acquires a small stock of nouns by
    word-to-world pairing
  • (2) uses that stock of nouns as a scaffold for
    constructing representations of the linguistic
    input that will support a more efficient learning
    procedure
  • Support correlation of changes in vocabulary
    size with appearance of multiword speech

7
A simulation experiment
  • Principle
  • Adult learners
  • (no conceptual issues any more)
  • Trying to guess most frequently used nouns or
    verbs
  • Observational clues video clips
  • Linguistic clues co-occurring words, syntactic
    frame

8
First experiment
  • Only videoclips
  • Adults trying to guess 24 nouns and 24 verbs

9
Results, Part I Nouns win
  • Nouns are guessed with much better results than
    verbs

10
Imageability rules
  • Provided clues are exclusively visual
  • Nouns of the set (e.g. elephant, plane, bag) are
    a lot more imageable than verbs (e.g. think,
    know, wait)

11
Results, part II
Nouns
Nouns
Verbs
Verbs
12
Conclusion of experiment I
  • The one relevant factor seems to be imageability
  • Not that surprising from a video, you learn
    imageable things a thing that is not imageable
    would be hard to picture !!

13
Linguistic clues vs. Observational clues
  • All nouns removed.
  • 6 conditions
  • 1 videoclips (but with a bip for the verb)
  • 2 alphabetical lists of nouns
  • 3 12 (videoclips alphabetical lists)
  • 4 syntactic frames with all nonsense words
  • 5 sentences with only the verb as nonsense
  • 6 15 (videoclips sentences)

14
Linguistic clues vs. Observational clues
15
Linguistic clues vs. Observational clues
  • 6 conditions
  • 1 videoclips (but with a bip for the verb)
  • 2 alphabetical lists of nouns
  • 3 12 (videoclips alphabetical lists)
  • 4 syntactic frames with all nonsense words
  • 5 sentences with only the verb as nonsense
  • 6 15 (videoclips sentences)

16
Results
Nouns reintroduced
No nouns provided !! No more visual information !!
Visuals reintroduced
17
Linguistic clues vs. Observational clues
  • Remarkably leap between 3 and 4, whereas the
    reverse could have been expected !
  • Interestingly, those verbs that were best learnt
    in the observational learnings show a decrease
    between 3 and 4

18
Discussion
  • Verbs complementary distributions (12 never
    learnt with visual clues 12 best learnt with
    linguistic clues)
  • This distribution corresponds to the
    imageability criterion
  • Quite logically, you can learn visually only what
    is visually representable
  • Verbs that use higher level linguistic
    representations have to wait until those can be
    constructed

19
Discussion general scheme
  • First, imageable words are learnt on a
    word-to-world pairing basis
  • Those imageable words are mostly nouns
  • That would explain why nouns make up most of
    young infants vocabulary
  • Second, this first set of words allows learning
    of new words on a sentence-to-world pairing
  • Thus conceptual words can be learnt as well

20
Some reservations
  • The argument structure is the same across
    languages (logical requirements), but
  • Adults already know the words, so they could try
    to guess the verbs by exhaustive search with all
    the information given (e.g. the best
    performance is for look , and it is probably
    due to the use of look with at )

21
The End
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