Alayo Tripp

About

Alayo Tripp, Ph.D., is a faculty member in the Department of Linguistics at the University of Florida. They use the pronouns they/them and received their Ph.D. from the University of Maryland, College Park. Their research focuses on social cognition, phonology, sociophonetics, and developmental psycholinguistics.

Research topics

• Sociology
• Psychology
• Computer Science
• Artificial Intelligence
• Cognitive psychology
• Social Science
• Social psychology
• Epistemology
• Developmental psychology
• Gender studies

Selected publications

• Essentialist characterizations of language are an obstacle to accuracy, progress, and justice in science

  2023-12-22 · 5 citations

  preprintOpen access

  This is the first manuscript from the ROLE Collective. Please visit our website to learn more about the collective https://rolecollective.github.io/

  PublisherOA PDFDOI

• Whose Input Matters? The influence of socially-differentiated input sources in adult Lx phonetic learning

  2021-11-04 · 4 citations

  preprintOpen accessSenior author

  Input is a necessary condition for language acquisition, and in the language classroom, input may come from a variety of sources, including the teacher and student peers. Here we ask whether adult Lx learners are sensitive to the social roles of teachers and students such that they exhibit a preference for input from the teacher. We conducted an experiment wherein adult English speakers heard words in an artificial language. During an exposure phase, in one condition a “teacher” produced words w…

  PublisherOA PDFDOI

• PANDA – Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset

  Qeios · 2025-02-19 · 1 citations

  preprintOpen accessSenior author

  Despite the global prevalence of Modern Standard Chinese language, counterspeech (CS) resources for Chinese remain virtually nonexistent. To address this gap in East Asian counterspeech research we introduce a corpus of Modern Standard Mandarin counterspeech that focuses on combating hate speech in Mainland China. This paper proposes a novel approach of generating CS by using an LLM-as-a-Judge, simulated annealing, LLMs zero-shot CN generation and a round-robin algorithm. This is followed by man…

  PublisherOA PDFDOI

• PANDA -- Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset

  arXiv (Cornell University) · 2025-01-01 · 1 citations

  preprintOpen accessSenior author

  Despite the global prevalence of Modern Standard Chinese language, counterspeech (CS) resources for Chinese remain virtually nonexistent. To address this gap in East Asian counterspeech research we introduce the a corpus of Modern Standard Mandarin counterspeech that focuses on combating hate speech in Mainland China. This paper proposes a novel approach of generating CS by using an LLM-as-a-Judge, simulated annealing, LLMs zero-shot CN generation and a round-robin algorithm. This is followed by…

  PublisherOA PDFDOI

• Finding our ROLE: How and why to reframe essentialist approaches to language

  Cognition · 2026-01-14

  article
  PublisherDOI

Frequent coauthors

• Benjamin Munson

  University of Minnesota

  18 shared

• Rachel Hayes‐Harb

  University of Utah

  6 shared

• Shannon Barrios

  University of Utah

  4 shared

• Enengy Schutt

  2 shared

• Matthew B. Winn

  University of Minnesota System

  2 shared

• Eleanor Nickel

  University of Minnesota

  2 shared

• Tatiana Lyons

  2 shared

• Paras Bhagwat Bassuk

  1 shared

Education

• Ph.D., Linguistics

  University of Maryland, College Park

  2019

Similar researchers at University of Florida

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• Brent Hendersonh-27
• Paula Golombekh-22