Google n-Grams Dataset

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A Google n-Grams Dataset is an word n-gram frequency dataset produced by Google Inc..

  • Context:
    • It can be composed of Google n-Grams Records, such as:
      • serve as the incoming; 92
      • serve as the incubator; 99
      • serve as the independent; 794
      • serve as the index; 223
      • ...
  • See: Word N-gram Model.



    • Item Name: Web 1T 5-gram Version 1
    • Authors: Thorsten Brants, Alex Franz
    • LDC Catalog No.: LDC2006T13
    • ISBN: 1-58563-397-6
    • Release Date: Sep 19, 2006
    • Introduction: This data set, contributed by Google Inc., contains English word n-grams and their observed frequency counts. The length of the n-grams ranges from unigrams (single words) to five-grams. We expect this data will be useful for statistical language modeling, e.g., for machine translation or speech recognition, as well as for other uses.
    • Source Data: The n-gram counts were generated from approximately 1 trillion word tokens of text from publicly accessible Web pages.
    • Character Encoding: The input encoding of documents was automatically detected, and all text was converted to UTF8.
    • Tokenization: The data was tokenized in a manner similar to the tokenization of the Wall Street Journal portion of the Penn Treebank. Notable exceptions include the following:
      • Hyphenated word are usually separated, and hyphenated numbers usually form one token.
      • Sequences of numbers separated by slashes (e.g. in dates) form one token.
      • Sequences that look like urls or email addresses form one token.
    • Data Sizes
      • File sizes: approx. 24 GB compressed (gzip'ed) text files
      • Number of tokens: 1,024,908,267,229
      • Number of sentences: 95,119,665,584
      • Number of unigrams: 13,588,391
      • Number of bigrams: 314,843,401
      • Number of trigrams: 977,069,902
      • Number of fourgrams: 1,313,818,354
      • Number of fivegrams: 1,176,470,663