Text Contraction

Text Contraction is a linguistic adaptation technique in software localization that reduces the length of source text while preserving its original meaning and functionality to accommodate spatial constraints in user interfaces across global markets.

3

Publications

151

Citations

6

Authors

1

Institutions

Publications per year

2017–2026

0

Authors

6

  1. SG
    Stephan Gouws

    Google (United States), United States

    1 publications · 98 citations

    1

    h-index

  2. EH
    Eduard Hovy

    Carnegie Mellon University, United States

    1 publications · 98 citations

    1

    h-index

  3. HC
    Ho-Jeong Cheong

    Hankuk University of Foreign Studies, South Korea

    1 publications · 12 citations

    1

    h-index

  4. CC
    Congxing Cai

    University of Southern California, United States

    1 publications · 98 citations

    1

    h-index

  5. LM
    Laurel MacKenzie

    New York University, United States

    1 publications · 41 citations

    1

    h-index

1–5 of 6

Institutions

1

  1. Hankuk University of Foreign Studies

    Seoul, South Korea

    1 h-index

    1 publications

    12 citations

1–1 of 1

Venues

  1. ScholarlyCommons (University of Pennsylvania)

    Repository · 1 publications · 41 citations

    1

    h-index

  2. Meta Journal des traducteurs

    1 publications · 12 citations

    1

    h-index

1–2