Rule-based Machine Translation

Rule-Based Machine Translation is a machine translation paradigm that belongs to the class of knowledge-driven translation approaches, distinguished by its reliance on handcrafted linguistic rules and dictionaries to convert source language texts into target language outputs through systematic syntactic and semantic transformations.

244

Publications

7.6K

Citations

594

Authors

186

Institutions

Publications per year

2017–2026

46

Authors

594

  1. FM
    Francis M. Tyers

    Indiana University, United States

    9 publications · 440 citations

    9

    h-index

  2. RB
    R. B. Mishra

    Banaras Hindu University, India

    7 publications · 141 citations

    7

    h-index

  3. KS
    Katsuhito Sudoh

    NTT (Japan), Japan

    5 publications · 157 citations

    5

    h-index

  4. GL
    Gorka Labaka

    University of the Basque Country, Spain

    4 publications · 94 citations

    4

    h-index

  5. MR
    Manny Rayner

    University of Geneva, Switzerland

    4 publications · 59 citations

    4

    h-index

1–5 of 594

Venues

  1. 5

    h-index

  2. International Journal of Computer Applications

    4 publications · 107 citations

    4

    h-index

  3. Machine Translation

    4 publications · 374 citations

    4

    h-index

  4. Arrow@dit (Dublin Institute of Technology)

    Repository · 3 publications · 46 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 94 citations

    3

    h-index

1–5