ERIC Number: EJ850841
Record Type: Journal
Publication Date: 2009-Apr
Abstractor: As Provided
Reference Count: 0
Gender Differences in Speech Temporal Patterns Detected Using Lagged Co-Occurrence Text-Analysis of Personal Narratives
Cohen, Shuki J.
Journal of Psycholinguistic Research, v38 n2 p111-127 Apr 2009
This paper describes a novel methodology for the detection of speech patterns. Lagged co-occurrence analysis (LCA) utilizes the likelihood that a target word will be uttered in a certain position after a trigger word. Using this methodology, it is possible to uncover a statistically significant repetitive temporal patterns of word use, compared to a random choice of words. To demonstrate this new tool on autobiographical narratives, 200 subjects related each a 5-min story, and these stories were transcribed and subjected to LCA, using software written by the author. This study focuses on establishing the usefulness of LCA in psychological research by examining its associations with gender. The application of LCA to the corpus of personal narratives revealed significant differences in the temporal patterns of using the word "I" between male and female speakers. This finding is particularly demonstrative of the potential for studying speech temporal patterns using LCA, as men and women tend to utter the pronoun "I" in comparable frequencies. Specifically, LCA of the personal narratives showed that, on average, men tended to have shorter interval between their use of the pronoun, while women speak longer between two subsequent utterances of the pronoun. The results of this study are discussed in light of psycholinguistic factors governing male and female speech communities.
Descriptors: Psychological Studies, Research Methodology, Form Classes (Languages), Personal Narratives, Gender Differences, Language Patterns, Speech, Language Usage, Computer Software, Computational Linguistics
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Publication Type: Journal Articles; Reports - Descriptive
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