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The impact of wordend phonology and morphology on stuttering

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Title: The impact of wordend phonology and morphology on stuttering


1
The impact of word-end phonology and morphology
on stuttering
  • Chloe Marshall
  • Centre for Developmental Language Disorders and
    Cognitive Neuroscience,
  • Department of Human Communication Science,
  • University College London
  • UCL, 27th June, 2005

2
Acknowledgements
  • Peter Howell and Jenny Hayes
  • Heather van der Lely and John Harris

3
Aims of todays talk
  • Are stuttering rates in English-speaking adults
    and children influenced by morphological and
    phonological complexity at the ends of words?
  • Study 1 adult corpus data (UCLASS database)
  • Study 2 non-word repetition task
  • Study 3 elicitation task (inflected forms)

4
Background 1
  • Definition of phonological complexity
  • Based on what typically developing children find
    hard to acquire
  • e.g. late-acquired consonants (dorsals,
    fricatives, liquids)
  • e.g. multisyllabic forms
  • e.g. consonant clusters
  • Definition of morphological complexity
  • inflected forms e.g. runs, walked, singing
  • derived forms e.g. unreal, happier, sunny

5
Background 2
  • Why should we expect phonological and
    morphological complexity to affect stuttering?
  • Evidence that consonant clusters influence
    stuttering rates
  • Howell, Au-Yeung Sackin (2000)
  • Word-initially, adults
  • Weiss Jakielski (2003)
  • Children 60 115

6
Background 3
  • English inflection (-ed, -s) adds a consonant,
    and therefore increases the phonological
    complexity of the word, often forming a cluster.
  • e.g. wrap wrapped
  • e.g. drive drives
  • Confound between morphological and phonological
    complexity.
  • How can they be teased apart?

7
Study 1 adult corpus data (UCLASS database)
  • Contrasts 4 sets of words

phonological complexity
4
3
morphological complexity
2
1
1 phon simple, morph simple bad 2 phon
simple, morph complex died 3 phon complex,
morph simple month 4 phon complex, morph
complex looked
8
What we might find (1)
Phonological complexity influences stuttering
independently of morphology
9
What we might find (2)
Morphological complexity influences stuttering
independently of phonology
10
What we might find (3)
Interaction between phonological complexity and
morphological complexity
11
Details of study participants
  • 16 males, diagnosed as PWS
  • 16 47 years, mean age 25, sd 9
  • Spontaneous material in response to questions
    from an interviewer, casual speech
  • words stuttered for each speaker 2.61 - 20.33

12
Details of study words
Phonology word-shape is CVC or CVCC
Morphology past tense -ed, plural -s, third
person -s
13
Details of study selecting words from corpus
  • Perl program identified words of shape CVC and
    CVCC
  • Words hand-coded as being morphologically complex
    or not
  • Irregular verbs removed by hand (e.g. had, got,
    has)
  • Each word classified as stuttered (1) or not
    stuttered (0), based on such events marked in
    original transcriptions

14
Results 1
15
Results 2
16
Conclusions
  • Presence of a cluster at the end of a word does
    not influence stuttering rates in spontaneous
    speech
  • Nor is there an effect of inflectional morphology
  • However data not amenable to individual
    analysis
  • For certain speakers either type of complexity
    might have an effect

17
Study 2 Non-word repetition task
  • Aim to investigate whether the presence of a
    consonant cluster at the word-end influences
    stuttering rates in absence of morphological
    complexity
  • Advantage over spontaneous studies can elicit
    enough tokens of interest from all participants,
    therefore data amenable to individual analysis

18
Details of study participants
  • 19 speakers
  • Average age 14 years
  • Divided into 2 groups
  • Group 1 lt or 14 years (N12)
  • Group 2 or gt 15 years (N7)

19
Details of study stimuli(Test of
Phonological Structure, van der Lely Harris,
1999)
  • 2 experimental conditions
  • No word-final cluster ket, prif (N 8)
  • Word-final cluster kest, prilf (N 8)
  • 1 filler condition
  • Multisyllabic deppary, sapiffy (N 12)
  • Responses scored according to presence (1) or
    absence (0) of stuttering

20
Results
21
Conclusion
  • No impact of word-end phonological complexity
    detected in this task

22
Study 3 Elicitation task (inflected forms)
  • Task designed to elicit 3rd person singular and
    past tense forms
  • Aim to investigate whether the presence of a
    consonant cluster at the word-end influences
    stuttering rates in morphologically complex words

23
Details of study participants
  • Same as study 2
  • 19 speakers
  • Average age 14 years
  • Divided into 2 groups
  • Group 1 lt or 14 years (N12)
  • Group 2 or gt 15 years (N7)

24
Details of study stimuli
  • 2 conditions, varying phonological complexity
  • Condition 1 5 verbs whose inflected word-shape
    is CVC, e.g. weighs, weighed
  • Condition 2 5 verbs whose inflected word-shape
    is CVCC, e.g. wraps, wrapped

25
Details of study procedure
  • Experimenter
  • Everyday I pour a drink.
  • Participant
  • Your friend also ________ .
  • Yesterday you both __________ .

26
Results
27
Individual results
28
Conclusion
  • A few individuals stutter on morphologically
    complex forms
  • Only Participant 2 showed an effect of
    phonological complexity on stuttering

29
Discussion
  • Some experimental evidence that phonological and
    morphological complexity influence stuttering in
    English PWS, but not for all speakers.
  • Still to look at
  • Syllabic suffixes (wanted, horses, washes)
  • Derivational morphology (heavier, unreal)
  • Much younger children what happens at age 3?

30
Reference
Marshall, C.R. (2005) The impact of word-end
phonology and morphology on stuttering.
Stammering Research, 1 375-391 http//www.stamres
.psychol.ucl.ac.uk/ My web page
www.ucl.ac.uk/DLDCN
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