Predictive Text Input

Predictive Text Input is an adaptive input method that employs probabilistic language models to generate and rank likely word or phrase completions based on partial user input, thereby reducing the number of keystrokes required for text entry.

76

Publications

3.6K

Citations

209

Authors

90

Institutions

Publications per year

2017–2026

16

Variants

Predictive Text

Authors

209

  1. AF
    Alan F. Newell

    University of Dundee, United Kingdom

    3 publications · 145 citations

    3

    h-index

  2. WS
    Wolfgang Stuerzlinger

    Simon Fraser University, Canada

    3 publications · 54 citations

    3

    h-index

  3. MD
    Mark Dunlop

    University of Strathclyde, United Kingdom

    3 publications · 152 citations

    3

    h-index

  4. FP
    Felix Putze

    University of Bremen, Germany

    2 publications · 26 citations

    2

    h-index

  5. JG
    Jun Gong

    Northeastern University, China

    2 publications · 82 citations

    2

    h-index

1–5 of 209

Venues

  1. Journal of Special Education Technology

    JSET · 2 publications · 79 citations

    2

    h-index

  2. Personal and Ubiquitous Computing

    2 publications · 134 citations

    2

    h-index

  3. Frontiers in Neuroscience

    2 publications · 257 citations

    2

    h-index

  4. Assistive Technology

    2 publications · 145 citations

    2

    h-index

  5. Natural Language Engineering

    1 publications · 29 citations

    1

    h-index

1–5