Semantic Machine Translation

Semantic Machine Translation is a machine translation approach that incorporates explicit semantic representation and reasoning to bridge meaning between languages, distinguishing itself from purely syntactic or statistical methods by prioritizing deep linguistic understanding in the translation process.

126

Publications

9.5K

Citations

367

Authors

119

Institutions

Publications per year

2017–2026

30

Authors

367

  1. KK
    Kevin Knight

    University of Southern California, United States

    6 publications · 648 citations

    6

    h-index

  2. DW
    Dekai Wu

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

    6 publications · 191 citations

    6

    h-index

  3. CL
    Chi-kiu Lo

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

    5 publications · 107 citations

    5

    h-index

  4. MP
    Martha Palmer

    University of Colorado Boulder, United States

    5 publications · 3.7K citations

    5

    h-index

  5. CD
    Christopher D. Manning

    Stanford University, United States

    4 publications · 719 citations

    4

    h-index

1–5 of 367

Venues

  1. Machine Translation

    5 publications · 231 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 102 citations

    4

    h-index

  3. ArXiv.org

    Repository · 4 publications · 700 citations

    4

    h-index

  4. Modern Language Journal

    MLJ · 2 publications · 185 citations

    2

    h-index

  5. Computer Speech & Language

    2 publications · 58 citations

    2

    h-index

1–5