Information Compression

Information Compression is a cognitive processing strategy in consecutive interpreting whereby interpreters reduce and restructure source-language content to retain essential meaning while eliminating redundant or non-essential elements, enabling efficient short-term memory storage and accurate target-language reproduction.

268

Publications

16.4K

Citations

651

Authors

338

Institutions

Publications per year

2017–2026

97

Authors

651

  1. JG
    J. Gerard Wolff

    Bangor University, United Kingdom

    17 publications · 492 citations

    14

    h-index

  2. GN
    Gonzalo Navarro

    University of Chile, Chile

    5 publications · 193 citations

    5

    h-index

  3. SM
    Shirou Maruyama

    Japan Science and Technology Agency, Japan

    4 publications · 101 citations

    4

    h-index

  4. FM
    Fabien Mathy

    Bases, Corpus, Langage, France

    3 publications · 316 citations

    4

    h-index

  5. AM
    Alistair Moffat

    The University of Melbourne, Australia

    4 publications · 910 citations

    4

    h-index

1–5 of 651

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 1.2K citations

    10

    h-index

  2. IEEE Access

    6 publications · 208 citations

    6

    h-index

  3. The Computer Journal

    5 publications · 72 citations

    5

    h-index

  4. IEEE Transactions on Communications

    3 publications · 1.7K citations

    4

    h-index

  5. 4

    h-index

1–5