Parallel Data Alignment

Parallel Data Alignment is a computational method that establishes correspondences between structurally similar elements in multilingual text pairs, distinguishing itself by enabling the systematic comparison and transfer of linguistic information across languages within parallel corpora.

28

Publications

1.1K

Citations

78

Authors

41

Institutions

Publications per year

2017–2026

5

Authors

78

  1. JM
    John Mellor‐Crummey

    Rice University, United States

    2 publications · 87 citations

    2

    h-index

  2. SH
    Seema Hiranandani

    Rice University, United States

    2 publications · 87 citations

    2

    h-index

  3. LA
    Lawrie

    University of Illinois Urbana-Champaign, United States

    2 publications · 191 citations

    2

    h-index

  4. SV
    S. Vassiliadis

    Delft University of Technology, Netherlands

    2 publications · 53 citations

    2

    h-index

  5. KK
    Ken Kennedy

    Rice University, United States

    2 publications · 87 citations

    2

    h-index

1–5 of 78

Venues

  1. IEEE Transactions on Computers

    3 publications · 332 citations

    3

    h-index

  2. IEEE Access

    1 publications · 15 citations

    1

    h-index

  3. Royal Society Open Science

    1 publications · 40 citations

    1

    h-index

  4. IEEE Transactions on Multimedia

    1 publications · 36 citations

    1

    h-index

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

    Repository · 1 publications · 12 citations

    1

    h-index

1–5