Language Model Integration

Language Model Integration is a methodological framework in Optical Character Recognition that incorporates pre-trained language models to enhance character sequence interpretation by leveraging contextual linguistic knowledge for improved recognition accuracy.

301

Publications

19.4K

Citations

960

Authors

292

Institutions

Publications per year

2017–2026

126

Authors

960

  1. HN
    Hermann Ney

    RWTH Aachen University, Germany

    9 publications · 334 citations

    9

    h-index

  2. AW
    Alex Waibel

    Carnegie Mellon University, United States

    6 publications · 275 citations

    6

    h-index

  3. SK
    Sanjeev Khudanpur

    Johns Hopkins University, United States

    6 publications · 290 citations

    6

    h-index

  4. TN
    Tara N. Sainath

    Google (United States), United States

    5 publications · 301 citations

    5

    h-index

  5. TK
    Tatsuya Kawahara

    Kyoto University, Japan

    5 publications · 108 citations

    5

    h-index

1–5 of 960

Venues

  1. arXiv (Cornell University)

    Repository · 26 publications · 1.5K citations

    18

    h-index

  2. 3

    h-index

  3. 2

    h-index

  4. ArXiv.org

    Repository · 2 publications · 60 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 60 citations

    2

    h-index

1–5