Machine Translation Flow

Machine Translation Flow is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that specifically governs or characterizes the process, dynamics, or evaluation of automated translation within the broader domain of translation flows.

3

Publications

52

Citations

9

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

9

  1. AB
    Allen B. Tucker

    Bowdoin College, United States

    1 publications · 17 citations

    1

    h-index

  2. ST
    S. Thellijjagoda

    Sri Lanka Institute of Information Technology, Sri Lanka

    1 publications · 24 citations

    1

    h-index

  3. YW
    Y.V. Wijesinghe

    Sri Lanka Institute of Information Technology, Sri Lanka

    1 publications · 24 citations

    1

    h-index

  4. MV
    Muriel Vasconcellos

    Georgetown University, United States

    1 publications · 11 citations

    1

    h-index

  5. SK
    S.L. Kaduruwana

    Sri Lanka Institute of Information Technology, Sri Lanka

    1 publications · 24 citations

    1

    h-index

1–5 of 9

Institutions

2

  1. Colgate University

    Hamilton, United States

    1 h-index

    1 publications

    17 citations

  2. Sri Lanka Institute of Information Technology

    Colombo, Sri Lanka

    1 h-index

    7 publications

    168 citations

1–2 of 2

Venues

  1. Communications of the ACM

    1 publications · 17 citations

    1

    h-index

1–1