Syntax-based Machine Translation

Syntax-Based Machine Translation is a machine translation approach that employs syntactic structures and grammatical rules of source and target languages to guide the translation process, distinguishing it from other methods by its explicit reliance on syntactic analysis for generating accurate translations.

337

Publications

18.9K

Citations

666

Authors

195

Institutions

Publications per year

2017–2026

41

Authors

666

  1. KK
    Kevin Knight

    University of Southern California, United States

    26 publications · 3.2K citations

    21

    h-index

  2. PK
    Philipp Koehn

    University of Edinburgh, United Kingdom

    11 publications · 989 citations

    10

    h-index

  3. DC
    David Chiang

    University of Notre Dame, United States

    9 publications · 3.2K citations

    9

    h-index

  4. DM
    Daniel Marcu

    University of Southern California, United States

    8 publications · 951 citations

    8

    h-index

  5. AW
    Andy Way

    Dublin City University, Ireland

    8 publications · 162 citations

    8

    h-index

1–5 of 666

Venues

  1. Machine Translation

    7 publications · 522 citations

    7

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  2. arXiv (Cornell University)

    Repository · 7 publications · 232 citations

    7

    h-index

  3. Computational Linguistics

    6 publications · 1.3K citations

    6

    h-index

  4. 5

    h-index

  5. ACM Transactions on Asian Language Information Processing

    TALIP · 4 publications · 68 citations

    4

    h-index

1–5