Parallel Corpus Annotation

Parallel Corpus Annotation is a linguistic data processing methodology that involves the systematic addition of structured metadata to corresponding texts in parallel corpora to enable cross-linguistic analysis and alignment at various linguistic levels.

172

Publications

10.5K

Citations

473

Authors

162

Institutions

Publications per year

2017–2026

44

Authors

473

  1. JT
    Jörg Tiedemann

    Uppsala University, Sweden

    6 publications · 342 citations

    6

    h-index

  2. RS
    Ralf Steinberger

    Joint Research Centre, Italy

    4 publications · 207 citations

    4

    h-index

  3. MV
    Martin Volk

    University of Zurich, Switzerland

    4 publications · 85 citations

    4

    h-index

  4. JB
    Johan Bos

    University of Groningen, Netherlands

    4 publications · 186 citations

    4

    h-index

  5. TE
    Tomaž Erjavec

    Jožef Stefan Institute, Slovenia

    4 publications · 196 citations

    4

    h-index

1–5 of 473

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 210 citations

    8

    h-index

  2. International Conference on Computational Linguistics

    Conference · 5 publications · 56 citations

    5

    h-index

  3. Language Resources and Evaluation

    5 publications · 378 citations

    5

    h-index

  4. Zurich Open Repository and Archive (University of Zurich)

    Repository · 4 publications · 85 citations

    4

    h-index

  5. Natural Language Engineering

    3 publications · 438 citations

    3

    h-index

1–5