Parallel Corpus Analysis

Parallel Corpus Analysis is a methodological approach in Corpus-Based Translation Studies that involves the systematic examination of aligned source and target texts in a parallel corpus to identify translation patterns, equivalences, and linguistic transformations.

576

Publications

29.6K

Citations

1.3K

Authors

426

Institutions

Publications per year

2017–2026

172

Authors

1.3K

  1. JT
    Jörg Tiedemann

    Uppsala University, Sweden

    16 publications · 1.5K citations

    15

    h-index

  2. PK
    Philipp Koehn

    University of Edinburgh, United Kingdom

    11 publications · 1.2K citations

    10

    h-index

  3. CC
    Chris Callison-Burch

    Johns Hopkins University, United States

    10 publications · 1.6K citations

    10

    h-index

  4. KM
    Kathleen McKeown

    Columbia University, United States

    7 publications · 1.2K citations

    7

    h-index

  5. PF
    Pascale Fung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    7 publications · 326 citations

    7

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 797 citations

    15

    h-index

  2. Language Resources and Evaluation

    9 publications · 248 citations

    9

    h-index

  3. Computational Linguistics

    7 publications · 1.2K citations

    7

    h-index

  4. Meeting of the Association for Computational Linguistics

    Conference · 6 publications · 199 citations

    6

    h-index

  5. Meta Journal des traducteurs

    6 publications · 196 citations

    6

    h-index

1–5