Language Models

Language Models is a computational system in natural language processing that belongs to the class of probabilistic models and is distinguished by its ability to assign probabilities to sequences of words based on learned linguistic patterns from textual data.

20.1K

Publications

1.8M

Citations

38.3K

Authors

4.4K

Institutions

Publications per year

2017–2026

10.6K

Authors

38.3K

  1. CD
    Christopher D. Manning

    Stanford University, United States

    105 publications · 71.5K citations

    63

    h-index

  2. NA
    Noah A. Smith

    Carnegie Mellon University, United States

    111 publications · 10.1K citations

    50

    h-index

  3. LZ
    Luke Zettlemoyer

    University of Washington, United States

    86 publications · 29.8K citations

    48

    h-index

  4. HN
    Hermann Ney

    RWTH Aachen University, Germany

    133 publications · 17.6K citations

    47

    h-index

  5. ZL
    Zhiyuan Liu

    Tsinghua University, China

    92 publications · 11.3K citations

    47

    h-index

1–5 of 38.3K

Venues

  1. arXiv (Cornell University)

    Repository · 2.5K publications · 257.4K citations

    185

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 312 publications · 25.2K citations

    72

    h-index

  3. Transactions of the Association for Computational Linguistics

    TACL · 142 publications · 26.4K citations

    63

    h-index

  4. Computational Linguistics

    100 publications · 18.1K citations

    52

    h-index

  5. Computer Speech & Language

    108 publications · 11.7K citations

    46

    h-index

1–5