• DocumentCode
    2261078
  • Title

    Managing the Google Web 1T 5-gram data set

  • Author

    Islam, Aminul ; Inkpen, Diana

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2009
  • fDate
    24-27 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper describes how the Google Web 1T 5-gram data set, contributed by Google Inc., can be stored so that it can be used efficiently with respect to time. We present an efficient way of accessing all the 5-grams for a specific word of interest from the stored files. We measure the maximum access and processing efficiency achievable for any word of interest. We also compare results (access time and memory requirements) on the task of accessing all the 5-grams for a list of words, on both the processed and the original organization of the data set.
  • Keywords
    Internet; data handling; natural language processing; Google Incorporated; Google Web 1T 5-gram data set; Computer science; Data mining; Frequency; Research and development; Speech recognition; Web pages; 5-grams; Google web 1T; n-gram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-4538-7
  • Electronic_ISBN
    978-1-4244-4540-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2009.5313839
  • Filename
    5313839