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Summary

Smartphone apps can now document language change by collecting dialect data. Dialäkt Äpp (DÄ) crowdsources linguistic variables, revealing phonetic stability but lexical and morphological changes.

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Area of Science:

  • Linguistics
  • Computational Linguistics
  • Sociolinguistics

Background:

  • Smartphone applications are emerging tools in linguistic research.
  • Existing apps focus on pronunciation, acoustic models, and endangered languages.
  • This study explores using apps for documenting language change.

Purpose of the Study:

  • To present the first account of using apps for language change data collection.
  • To introduce and evaluate the Dialäkt Äpp (DÄ) for dialect prediction and data gathering.
  • To assess language change using crowdsourced dialectal data.

Main Methods:

  • Developed Dialäkt Äpp (DÄ) to predict user dialects based on selections of 16 linguistic variables.
  • Used historical maps from the Linguistic Atlas of German-speaking Switzerland (circa 1950) as a baseline.
  • Collected data from nearly 60,000 speakers, incorporating user feedback on dialect location.

Main Results:

  • Phonetic variables showed relative stability over time.
  • Lexical and morphological variables demonstrated a greater propensity for change.
  • Crowdsourced data from DÄ corroborated trends found by traditional dialectological methods.

Conclusions:

  • Crowdsourcing via smartphone apps offers a powerful complement to traditional data collection methods for language change.
  • The Dialäkt Äpp (DÄ) method is validated by its alignment with established dialectological findings.
  • Future work includes extending the DÄ architecture to other languages and addressing methodological caveats.