Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition

Maria Wolters, Sarah E. MacPherson, Jung-Ho Kim, Najong Kim, Jong C. Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Semantic fluency is a commonly used task in psychology that provides data about executive function and semantic memory. Performance on the task is affected by conditions ranging from depression to dementia. The task involves participants naming as many members of a given category (e.g. animals) as possible in sixty seconds. Most of the analyses reported in the literature only rely on word counts and transcribed data, and do not take into account the evidence of utterance planning present in the speech signal. Using data from Korean, we show how prosodic analyses can be combined with computational linguistic analyses of the words produced to provide further insights into the processes involved in producing fluency data. We compare our analyses to an established analysis method for semantic fluency data, manual determination of lexically coherent clusters of words.
Original languageEnglish
Title of host publicationInterspeech 2016
Place of PublicationSan Francisco, United States
Number of pages5
Publication statusPublished - 12 Sept 2016
EventInterspeech 2016 - San Francisco, United States
Duration: 8 Sept 201612 Sept 2016

Publication series

PublisherInternational Speech Communication Association
ISSN (Print)1990-9772


ConferenceInterspeech 2016
Country/TerritoryUnited States
CitySan Francisco
Internet address

Keywords / Materials (for Non-textual outputs)

  • verbal fluency
  • semantic fluency
  • executive functions
  • Korean
  • prosody
  • word embeddings


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