N-Gram models

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Abstract

In language modeling, n-gram models are probabilistic models of text that use some limited amount of history, or word dependencies, where n refers to the number of words that participate in the dependence relation.
Original languageUndefined
Title of host publicationEncyclopedia of Database Systems
EditorsLing Liu, M. Tamer Özsu
Place of PublicationNew York
PublisherSpringer
Number of pages1
ISBN (Print)978-1-4899-7993-3
DOIs
Publication statusPublished - 2017

Publication series

Name
PublisherSpringer Verlag

Keywords

  • IR-104508
  • EWI-27811

Cite this

Hiemstra, D. (2017). N-Gram models. In L. Liu, & M. Tamer Özsu (Eds.), Encyclopedia of Database Systems New York: Springer. https://doi.org/10.1007/978-1-4899-7993-3_935-2
Hiemstra, Djoerd. / N-Gram models. Encyclopedia of Database Systems. editor / Ling Liu ; M. Tamer Özsu. New York : Springer, 2017.
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Hiemstra, D 2017, N-Gram models. in L Liu & M Tamer Özsu (eds), Encyclopedia of Database Systems. Springer, New York. https://doi.org/10.1007/978-1-4899-7993-3_935-2

N-Gram models. / Hiemstra, Djoerd.

Encyclopedia of Database Systems. ed. / Ling Liu; M. Tamer Özsu. New York : Springer, 2017.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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AB - In language modeling, n-gram models are probabilistic models of text that use some limited amount of history, or word dependencies, where n refers to the number of words that participate in the dependence relation.

KW - IR-104508

KW - EWI-27811

U2 - 10.1007/978-1-4899-7993-3_935-2

DO - 10.1007/978-1-4899-7993-3_935-2

M3 - Chapter

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BT - Encyclopedia of Database Systems

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Hiemstra D. N-Gram models. In Liu L, Tamer Özsu M, editors, Encyclopedia of Database Systems. New York: Springer. 2017 https://doi.org/10.1007/978-1-4899-7993-3_935-2