Word Alignment

Word Alignment is a computational method in machine translation that identifies correspondences between words in parallel sentences of a source language and a target language, distinguishing it from other alignment granularities by operating at the lexical level.

811

Publications

75.9K

Citations

1.6K

Authors

439

Institutions

Publications per year

2017–2026

184

Authors

1.6K

  1. HN
    Hermann Ney

    RWTH Aachen University, Germany

    35 publications · 9.2K citations

    25

    h-index

  2. SV
    Stephan Vogel

    Carnegie Mellon University, United States

    21 publications · 2.1K citations

    17

    h-index

  3. KK
    Kevin Knight

    University of Southern California, United States

    15 publications · 1.7K citations

    15

    h-index

  4. JT
    Jörg Tiedemann

    Uppsala University, Sweden

    15 publications · 650 citations

    14

    h-index

  5. DK
    Dan Klein

    University of California, Berkeley, United States

    15 publications · 1.7K citations

    13

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 44 publications · 17.6K citations

    23

    h-index

  2. Computational Linguistics

    13 publications · 6.7K citations

    13

    h-index

  3. Natural Language Engineering

    9 publications · 355 citations

    9

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 531 citations

    8

    h-index

  5. ArXiv.org

    Repository · 6 publications · 181 citations

    6

    h-index

1–5