PIPages
Labs

Diti Bhadra

University of Minnesota, MN·Social Science·Early-career

Small words in conversation often carry a lot of meaning. Words like "surely" or "after all" can signal what a speaker believes, what they assume the listener knows, or how sure they are.

Fields

Social Science

Psychology

Topics

linguistics

semantics

pragmatics

Grants
1 known grant, through Aug 2027

What they work on

  1. Analyze how modal discourse particles, small words signaling possibility, necessity or evidence, combine with the clauses they attach to, using fieldwork with speakers of four understudied languages.
  2. Examine how discourse particles interact with tense, aspect and mood in these languages to uncover universal patterns in how meaning and context work together.
  3. Investigate discourse particles in non-canonical speech acts, utterances beyond plain statements, questions and commands, and build open-source materials for theory-driven semantic fieldwork in any language.

More about the research

Linguists call these words discourse particles. This project uses them to study how two systems work together: semantics, the logical reasoning built into language meaning, and pragmatics, how conversational context shapes interpretation. It does this through fieldwork on four diverse, understudied languages, looking for patterns that hold across all human languages.

Why it matters

This basic research adds to our understanding of how human languages express reasoning, belief and knowledge in conversation, drawing on understudied languages that theories often overlook. Its open-source fieldwork materials could help researchers document the meaning systems of any language, including less-studied ones.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

CAREER: Theory, Fieldwork, and Typology: A Semantic/Pragmatic Triad in Underrepresented Linguistic Systems

NSF · Sep 2022 – Aug 2027

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Jonathan Amith

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Build POWSM, a foundation speech model that transcribes any language as sequences of consonants and vowels, and prompt it with vector representations of sound correspondences so it can recognize low-resource varieties as transformed versions of well-resourced ones.

The school

University of Minnesota: 88 labs on PI Pages, $1.4B a year on research, 722 research doctorates a year.

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