Web 1T 5-gram, 10 European Languages Version 1
|Item Name:||Web 1T 5-gram, 10 European Languages Version 1|
|Author(s):||Thorsten Brants, Alex Franz|
|LDC Catalog No.:||LDC2009T25|
|Release Date:||October 20, 2009|
|Data Source(s):||web collection|
|Language(s):||Swedish, Spanish, Romanian, Portuguese, Polish, Dutch, Italian, French, German, Czech|
|Language ID(s):||swe, spa, ron, por, pol, nld, ita, fra, deu, ces|
Web 1T 5-gram, 10 European Languages Version 1 Agreement
|Online Documentation:||LDC2009T25 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Brants, Thorsten, and Alex Franz. Web 1T 5-gram, 10 European Languages Version 1 LDC2009T25. Web Download. Philadelphia: Linguistic Data Consortium, 2009.|
Web 1T 5-gram, 10 European Languages Version 1 was created by Google, Inc. It consists of word n-grams and their observed frequency counts for ten European languages: Czech, Dutch, French, German, Italian, Polish, Portuguese, Romanian, Spanish and Swedish. The length of the n-grams ranges from unigrams (single words) to five-grams. The n-gram counts were generated from approximately one hundred billion word tokens of text for each language, or approximately one trillion total tokens.
The n-grams were extracted from publicly-accessible web pages from October 2008 to December 2008. This data set contains only n-grams that appeared at least 40 times in the processed sentences. Less frequent n-grams were discarded. While the aim was to identify and collect pages from the specific target languages only, it is likely that some text from other languages may be in the final data. This dataset will be useful for statistical language modeling, including machine translation, speech recognition and other uses.
The input encoding of documents was automatically detected, and all text was converted to UTF8.
The following table contains statistics for the entire release.
File sizes (entire corpus): approximately 27.9 GB compressed (bzip2) text files
|Total number of tokens:||1,306,807,412,486|
|Total number of sentences:||150,727,365,731|
|Total number of unigrams:||95,998,281|
|Total number of bigrams:||646,439,858|
|Total number of trigrams:||1,312,972,925|
|Total number of fourgrams:||1,396,154,236|
|Total number of fivegrams:||1,149,361,413|
|Total number of n-grams:||4,600,926,713|
For an example of the data in this corpus please examine this sample file.