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The Indo-European Cognate Relationships dataset.

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This summary is machine-generated.

The Indo-European Cognate Relationships (IE-CoR) dataset maps word relationships across 160 Indo-European languages. This benchmark resource aids computational research into language evolution and historical linguistics.

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Area of Science:

  • Computational Linguistics
  • Historical Linguistics
  • Language Evolution Studies

Background:

  • The Indo-European language family is vast, with complex historical relationships.
  • Understanding cognate patterns is crucial for reconstructing proto-languages and tracing linguistic evolution.
  • Existing datasets often lack comprehensive coverage or standardized formats for computational analysis.

Purpose of the Study:

  • To introduce the Indo-European Cognate Relationships (IE-CoR) dataset, a novel resource for linguistic research.
  • To provide a benchmark dataset for computational studies on Indo-European language evolution.
  • To facilitate the study of lexical inheritance and horizontal transfer across Indo-European languages.

Main Methods:

  • Compilation of a relational dataset covering 160 Indo-European languages.
  • Analysis of 25,731 lexeme entries into 4,981 cognate sets based on 170 reference meanings.
  • Inclusion of data on horizontal transfer, time calibration, and geographical/social metadata.
  • Adherence to Cross-Linguistic Data Format (CLDF) protocols for interoperability.

Main Results:

  • The IE-CoR dataset contains 25,731 lexeme entries across 160 languages, organized into 4,981 cognate sets.
  • It represents all 13 main Indo-European clades and includes data on horizontal word transfer.
  • The dataset incorporates time calibration, geographical, and social metadata for enhanced analysis.

Conclusions:

  • The IE-CoR dataset offers a comprehensive, standardized resource for computational historical linguistics.
  • It serves as a valuable benchmark for research into Indo-European language evolution.
  • The dataset's design promotes interoperability and can serve as a model for other language families.