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This study introduces a new global language dataset covering 242 countries and 6,675 languages. It details linguistic connections within and between nations, offering a novel within-country perspective.

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Area of Science:

  • Linguistics
  • Sociolinguistics
  • Computational Social Science

Background:

  • Understanding linguistic connections is crucial for global communication and social science research.
  • Existing datasets often lack comprehensive within-country linguistic relationship data.

Purpose of the Study:

  • To construct a novel global dataset detailing linguistic connections.
  • To provide 11 bilateral measures of linguistic relationships within and between 242 countries and territories.
  • To incorporate a unique focus on linguistic relationships within national borders.

Main Methods:

  • Utilized data from Ethnologue on speakers of 6,675 languages.
  • Developed 11 bilateral measures for linguistic connections.
  • Included data on common official, native, and acquired languages.
  • Incorporated measures of linguistic proximity.

Main Results:

  • Created a comprehensive global dataset on common languages.
  • Quantified linguistic connections across multiple dimensions.
  • Established a novel framework for analyzing within-country linguistic diversity and connections.
  • The dataset covers 242 countries and territories.

Conclusions:

  • The new dataset offers a unique resource for studying global and national linguistic landscapes.
  • Provides a foundation for future research on language, migration, and globalization.
  • Highlights the importance of considering intra-national linguistic relationships.