Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…

Eve V. Clark

· Richard Lyman Professor in the Humanities, EmeritaVerified

Stanford University · Linguistics

Active 1968–2024

h-index55
Citations13.3k
Papers24311 last 5y
Funding$392k
See your match with Eve V. Clark — sign in to PhdFit.Sign in

Research topics

  • Computer Science
  • Linguistics
  • Psychology
  • Artificial Intelligence
  • Natural Language Processing
  • Philosophy
  • History
  • Mathematics
  • Mathematics education

Selected publications

  • Language development in the early years

    Elsevier eBooks · 2022 · 5 citations

    1st authorCorresponding
    • Computer Science
    • Artificial Intelligence
    • Linguistics
  • A gradualist view of word meaning in language acquisition and language use

    Journal of Linguistics · 2022 · 6 citations

    1st authorCorresponding
    • Computer Science
    • Linguistics
    • Psychology

    For both children and adults, communicating with each other effectively depends on having enough knowledge about particular entities, actions, or relations to understand and produce the words being used. Speakers draw on conventional meanings shared with their interlocutors, but do they share every detail of word meaning? They need not have identical, or fully specified, representations for the meanings of all the terms they make use of. Rather, they need only have represented enough about the meanings of the words used by another speaker to understand what is intended in context on a particular occasion. Reliance on partial meanings is common in both children and adults. More detailed, shared, representations of word meanings for a domain depend on acquiring additional knowledge about that domain and its contents.

  • Conversational Repair and the Acquisition of Language

    Discourse Processes · 2020 · 49 citations

    1st authorCorresponding
    • Computer Science
    • Natural Language Processing
    • Computer Science

    In this article, I examine how repairs in adult-child conversations guide children’s acquisition of language. Children make unprompted self-repairs to their utterances. They also respond to prompts for repair, whether open (Hm?, What?) or restricted (You hid what?), and to restricted offers (Child: I falled, Adult: You fell?). Children respond to clarification requests with self-repairs in the next turn, and make use of the feedback offered. The contrast between their utterance and the adult utterance identifies the locus of the error (negative feedback), while the adult’s offer presents a conventional version of the child’s utterance (positive feedback). I describe the use of restricted offers in conversations with children acquiring English and French, then present two case studies of how these inform children about homophonous French verb forms and early opaque Hebrew verb uses. These findings demonstrate the fundamental role of repair in the acquisition of a first language.

Recent grants

Frequent coauthors

  • Edy Veneziano

    Université Paris Cité

    11 shared
  • Evan Kent

    Center for Applied Linguistics

    9 shared
  • Ari Y. Kelman

    Stanford University

    9 shared
  • Sam Weiss

    University of Southern California

    9 shared
  • Samuel C. Heílman

    9 shared
  • Shani Bechhofer

    University of Southern California

    9 shared
  • Mary C. Rose

    Hebrew Union College - Jewish Institute of Religion

    9 shared
  • Jill Jacobs

    University of Southern California

    9 shared

Education

  • PhD, Linguistics

    University of Edinburgh

    1969

Similar researchers at Stanford University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Eve V. Clark

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup