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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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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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Saurashtra: An Indo-Aryan language dataset.

Karthika Veeramani1, Suresh Jaganathan2

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.

Data in Brief
|March 30, 2026
PubMed
Summary

This study introduces a new, comprehensive dataset for the Saurashtra language, addressing its underrepresentation in digital resources. This resource aids computational linguistics and language preservation efforts for this Indo-Aryan language.

Keywords:
Computational linguisticsCultureDevanagari transliterationMultiscript

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Area of Science:

  • Linguistics
  • Computational Linguistics
  • Digital Humanities

Background:

  • Saurashtra, an Indo-Aryan language, faces underrepresentation in digital resources despite rich traditions.
  • Multiple scripts are used for Saurashtra, complicating standardization and digital tool development.
  • Lack of structured data hinders natural language processing (NLP) and language preservation.

Purpose of the Study:

  • To introduce a novel, structured dataset for the Saurashtra language.
  • To support research in computational linguistics and digital resource development for low-resource languages.
  • To facilitate the preservation and study of Saurashtra's phonology and semantics.

Main Methods:

  • Compilation of a comprehensive linguistic dataset for Saurashtra.
  • Inclusion of phonological and semantic data to describe language structure and usage.
  • Focus on creating a resource for Indo-Aryan language development.

Main Results:

  • A new, structured dataset for the Saurashtra language is now available.
  • The dataset contains comprehensive linguistic data, including phonology and semantics.
  • This resource addresses the critical need for digital tools and NLP advancements for Saurashtra.

Conclusions:

  • The developed Saurashtra dataset is a vital resource for linguists and researchers.
  • This initiative contributes to the broader goal of resource development for Indo-Aryan languages.
  • The dataset will aid in the preservation and study of this lesser-documented language.