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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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Identifying author heritage using surname data: An application for Russian surnames.

Maria Karaulova1, Abdullah Gök2, Philip Shapira1,3

  • 1Manchester Institute of Innovation Research, Alliance Manchester Business School, University of Manchester Manchester, M13 9PL UK.

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This study introduces a novel surname morphology method to identify author national heritage, outperforming traditional approaches. This technique enhances bibliometric analysis for research on scientific mobility and diversity.

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Area of Science:

  • Bibliometrics
  • Sociology of Science
  • Computational Linguistics

Background:

  • Existing methods for identifying ethnic communities via surnames have significant limitations.
  • Dictionary-based approaches struggle with variations and nuances in surname data.
  • Accurate author heritage identification is crucial for understanding scientific mobility and diversity.

Purpose of the Study:

  • To develop and validate a novel method for identifying author national heritage using surname morphology.
  • To overcome the limitations of traditional dictionary-based surname analysis in bibliometric datasets.
  • To enable more accurate research into scientific mobility, collaboration, and diversity impacts.

Main Methods:

  • Developed a surname-based identification method leveraging morphological regularities, specifically suffix analysis.
  • Utilized the 2015 Open Researcher and Contributor ID (ORCID) public file for data.
  • Combined surname morphology with first-name data to refine identification and reduce false positives.

Main Results:

  • The proposed method achieved high performance metrics: 98% precision and 94% recall.
  • Demonstrated superior accuracy compared to existing name-based identification methods.
  • Successfully inferred Russian heritage as a proof of concept.

Conclusions:

  • Surname morphology analysis offers a robust and adaptable approach for identifying national heritage.
  • The method can be applied to diverse national groups with regular naming traditions.
  • This technique significantly advances bibliometric analysis, supporting research on scientific diaspora, innovation, and diversity.