Language Modeling

Language Modeling is a computational framework within natural language processing that assigns probabilities to sequences of words by estimating the likelihood of a word given its preceding context, thereby enabling the prediction and generation of human language.

47.2K

Publications

3.7M

Citations

79.2K

Authors

7K

Institutions

Publications per year

2017–2026

26.5K

Authors

79.2K

  1. HN
    Hermann Ney

    RWTH Aachen University, Germany

    258 publications · 27.2K citations

    69

    h-index

  2. CD
    Christopher D. Manning

    Stanford University, United States

    133 publications · 73.4K citations

    67

    h-index

  3. JG
    Jianfeng Gao

    Microsoft (United States), United States

    166 publications · 19.2K citations

    65

    h-index

  4. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    125 publications · 19K citations

    63

    h-index

  5. LZ
    Luke Zettlemoyer

    University of Washington, United States

    155 publications · 38K citations

    62

    h-index

1–5 of 79.2K

Venues

  1. arXiv (Cornell University)

    Repository · 5.7K publications · 505.3K citations

    263

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 778 publications · 60.9K citations

    118

    h-index

  3. Transactions of the Association for Computational Linguistics

    TACL · 253 publications · 40.3K citations

    86

    h-index

  4. Computer Speech & Language

    298 publications · 25.8K citations

    71

    h-index

  5. Computational Linguistics

    178 publications · 25.9K citations

    70

    h-index

1–5