Input-output Correspondence

Input-Output Correspondence is a theoretical constraint framework within Optimality Theory that evaluates the faithfulness between an underlying input representation and its corresponding surface output form by penalizing unintended alterations such as deletions, insertions, or permutations.

100

Publications

5K

Citations

211

Authors

115

Institutions

Publications per year

2017–2026

16

Variants

Io Correspondence

Authors

211

  1. CS
    C. Schmandt

    Massachusetts Institute of Technology, United States

    2 publications · 170 citations

    2

    h-index

  2. LB
    Luigi Burzio

    Johns Hopkins University, United States

    2 publications · 102 citations

    2

    h-index

  3. UN
    Uwe Nestmann

    Technische Universität Berlin, Germany

    2 publications · 117 citations

    2

    h-index

  4. GE
    George E. P. Box

    University of Wisconsin–Madison, United States

    2 publications · 493 citations

    2

    h-index

  5. JJ
    John J. McCarthy

    University of Massachusetts Amherst, United States

    2 publications · 73 citations

    2

    h-index

1–5 of 211

Venues

  1. Linguistic Inquiry

    3 publications · 140 citations

    3

    h-index

  2. ScholarWorks@UMassAmherst (University of Massachusetts Amherst)

    Repository · 2 publications · 73 citations

    2

    h-index

  3. Technometrics

    2 publications · 493 citations

    2

    h-index

  4. Physical review. A/Physical review, A

    PRA · 2 publications · 66 citations

    2

    h-index

  5. Journal of Neurophysiology

    JN · 2 publications · 43 citations

    2

    h-index

1–5