LDC Catalog

Web 1T 5-gram, 10 European Languages
Version 1

Item Name:

Web 1T 5-gram, 10 European Languages
Version 1

Authors:

Thorsten Brants, Alex Franz

ISBN:

language identification, language modeling, machine learning, machine translation

Language(s):

Czech, Dutch, French, German, Italian, Polish, Portuguese, Romanian, Spanish, Swedish

Language ID(s):

ces, deu, fra, ita, nld, pol, por, ron, spa, swe

Reduced-License Fee:

N/A

Extra-Copy Fee:

US$150.00

Non-member License:

yes

Member License:

yes

Online documentation:

yes

Licensing Instructions:

Subscription Members, Standard Members, Non-Members

Citation:

Thorsten Brants, Alex Franz
2009
Web 1T 5-gram, 10 European Languages
Version 1
Linguistic Data Consortium, Philadelphia

Introduction

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.

Data

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

Samples

For an example of the data in this corpus please examine this sample file.

Content Copyright