Modeling probabilistic reduction with NDL

25.01.23 - Diversity in Linguistics

Anna Stein 

anna.stein@hhu.de

Modeling probabilistic reduction with NDL

Index

WHAT IS PROBABILISTIC REDUCTION?

Probabilistic

  • More predictable words become shorter(Lohmann 2018)
    • time is shorter than thyme
    • air is shorter than heir

Reduction

  • Predictability in context affects word duration     (Seyfarth 2014)
    • ​'a cup of tea' vs. 'a barrel of tea'

Probabilistic reduction

  • Predictability affects syllable and segment duration (Aylett & Turk 2004)

Research question

syllable

word duration

context

segment

arc

flat

Research question

What is the relative contribution of a word’s segment and syllable domain and its adjacent context to word duration (reduction)?

syllable

word duration

context

segment

naive discriminative learning

naive discriminative learning

  • NDL has previously been used to model duration effects (Tucker et al. 2019, Tomaschek et al. 2019)
  • Cues included context, syllables, segments
  • They did not explicitly compare their prediction for word duration

 

  • NDL could validate whether these domains play a role in speech production and to what degree
  • Conversational speech data from the Buckeye corpus

NDL Model

 'fat cat'

Context cues Syllable cues Segment cues Outcome
-, cat fæt f, æ, t fat
fat , - kæt kæt cat

NDL predictors

arc cat
fat -- +
big + -
ɑrk + -
kæt - +
k + +
æ - +
t -- +
r + -
ɑ + -

Specific:

  • Context
  • Syllables
  • Segments

Global:

  • Segments
  • Syllables
  • Context 

Statistical analysis

Word duration ~

Independent variables:

  • Specific context, segments, syllables
  • Global context, segments, syllables          

Control variables:

  • Segment, syllable count
  • Speaker, interviewer gender
  • Speaker age
  • Part of speech
  • Speech rate                                                        

Random effects:

  • Speaker, Word                                                     

 

statistical analysis

Word duration ~

 

ActivationContext + ActivationSyllables+ ActivationSegment + PriorContext + PriorSyllables +

 

(1 | Speaker) + (1 | Word)  + control variables

Results

Results

Results

Results

Results

Discussion

What is the relative contribution of a word’s segment and syllable domain and its adjacent context to word duration (reduction)?

Research question:

Not all domains seem to play a role in speech production

  • The syllable and context domain are mixed 
    • Both are stronger than the segment domain
  • The segment domain has the least contribution

references

Aylett, M., & Turk, A. (2004). The smooth signal redundancy hypothesis: A functional explanation for relationships between redundancy, prosodic prominence, and duration in spontaneous speech. Language and speech, 47(1), 31-56.

Lohmann, A. (2018). Cut (n) and cut (v) are not homophones: Lemma frequency affects the duration of noun–verb conversion pairs. Journal of Linguistics, 54(4), 753-777.

Seyfarth, S. (2014). Word informativity influences acoustic duration: Effects of contextual predictability on lexical representation. Cognition, 133(1), 140-155.

Tucker, B. V., Sims, M., & Baayen, R. H. (2019). Opposing forces on acoustic duration.

Tomaschek, F., Plag, I., Ernestus, M., & Baayen, R. H. (2021). Phonetic effects of morphology and context: Modeling the duration of word-final S in English with naïve discriminative learning. Journal of Linguistics, 57(1), 123-161.

Picture sources

https://3.bp.blogspot.com/-xPGtKecKSyg/VyHvDcNkRcI/AAAAAAAA6Gw/pMMaFXoXoBgEqsI9PTQPKhl7HhBUjTzeACLcB/s800/animal_rat_black.png

https://1.bp.blogspot.com/-23RzpcbS5R4/XXXOrXeT1kI/AAAAAAABUxQ/KpvTE1WQ0cQ2XZXQTmAfYbruwff7XoI5wCLcBGAs/s1600/pet_cat_oddeye_black.png

Thank you for your attention!

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naive discriminative learning

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