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SBE 2020: Submission Detail

ID Number: 121
Title: Widening the Net: Challenges for Gathering Linguistic Data in the Digital Age
Lead Author: Wagers, Matthew
Abstract: Reliable scientific data from the full diversity of the worlds languages is required to validate current views of the human capacity for language. The current methodologies of linguistic investigationfieldwork, experimentation, the mining of large corporahave inherent limitations. We raise the challenge of how these methodologies can be transformed to overcome their limitations. Meeting this challenge will require new versions of these methodologies that are simpler, more portable, and less culturally entrenched than those currently in use. Such methodologies should generalize cleanly to diverse languages, communities, and settings and should generate types of data that can be compared across languages more efficiently than can be done now. We consider solutions that maximize the potential of the native speaker as scientific investigator. Micro-tasks embedded in games and deployed on widely accessible electronic mediums, such as mobile devices, illustrate a promising means for realizing this goal, and a viable system for expanding the diversity of data in other behavioral sciences.
PDF: Wagers_Matthew_121.pdf

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