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Related Experiment Video

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Conversation level syntax similarity metric.

Reihane Boghrati1, Joe Hoover2, Kate M Johnson2

  • 1Department of Computer Science, University of Southern California, 3620 S. McClintock Ave, Los Angeles, CA, 90089-1061, USA.

Behavior Research Methods
|July 13, 2017
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method, ConversAtion level Syntax SImilarity Metric (CASSIM), to measure how similar conversations are syntactically. This tool reveals patterns of syntax accommodation in social media interactions.

Keywords:
Communication accommodation theoryLinguistic style matchingSocial mediaSyntax primingSyntax similarityText analysis

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Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Social Psychology

Background:

  • Human language syntax and semantics offer insights into psychological differences and social interactions.
  • Psychological research increasingly uses semantic content representations to link word choice with cognitive processes.

Purpose of the Study:

  • Introduce ConversAtion level Syntax SImilarity Metric (CASSIM), a novel method for quantifying conversation-level syntax similarity.
  • Validate CASSIM's effectiveness and compare it against existing syntactic metrics.
  • Investigate syntax accommodation in social media discourse using CASSIM.

Main Methods:

  • CASSIM automatically generates syntactical representations of conversational sentences.
  • It estimates structural differences between these representations to calculate similarity.
  • The method was validated through two experiments and applied to social media data.

Main Results:

  • CASSIM reliably measures syntax similarity between conversations.
  • The method provides robust evidence of syntax accommodation in social media discourse.
  • CASSIM's performance was compared favorably against established metrics like LSM and Coh-Metrix.

Conclusions:

  • CASSIM is a reliable tool for analyzing syntactic similarity in conversations.
  • The findings support the presence and measurability of syntax accommodation in online communication.
  • This metric advances the understanding of linguistic convergence in social interactions.