Difference between revisions of "Google Books Ngram Data"
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
| − | Google Books Ngram [[Category::Dataset|dataset]] is a corpus of about 5 million digitized books drawn from over 40 university libraries around the world by Google. Each page was scanned and the text digitized using OCR. The resulting corpus contains over 500 billion words in English (361 billion), French (45 billion), Spanish (45 billion), German (37 billion), Chinese (13 billion), Russian (35 billion) and Hebrew (2 billion). The oldest works were published in 1500s. The data is released in the form of n-grams (in light of copyright constraints). An n-gram is sequence of 1-grams, such as the phrases "stock market" (a 2-gram) and "the United States of America" (a 5-gram). More detailed description on the corpus can be found in [http://www.sciencemag.org/content/early/2010/12/15/science.1199644 | + | Google Books Ngram [[Category::Dataset|dataset]] is a corpus of about 5 million digitized books drawn from over 40 university libraries around the world by Google. Each page was scanned and the text digitized using OCR. The resulting corpus contains over 500 billion words in English (361 billion), French (45 billion), Spanish (45 billion), German (37 billion), Chinese (13 billion), Russian (35 billion) and Hebrew (2 billion). The oldest works were published in 1500s. The data is released in the form of n-grams (in light of copyright constraints). An n-gram is sequence of 1-grams, such as the phrases "stock market" (a 2-gram) and "the United States of America" (a 5-gram). More detailed description on the corpus can be found in [[RelatedPaper::Michel et.al. (2010) Quantitative Analysis of Culture Using Millions of Digitized Books]]: [http://www.sciencemag.org/content/early/2010/12/15/science.1199644 External Link] |
Latest revision as of 20:21, 14 February 2011
Google Books Ngram dataset is a corpus of about 5 million digitized books drawn from over 40 university libraries around the world by Google. Each page was scanned and the text digitized using OCR. The resulting corpus contains over 500 billion words in English (361 billion), French (45 billion), Spanish (45 billion), German (37 billion), Chinese (13 billion), Russian (35 billion) and Hebrew (2 billion). The oldest works were published in 1500s. The data is released in the form of n-grams (in light of copyright constraints). An n-gram is sequence of 1-grams, such as the phrases "stock market" (a 2-gram) and "the United States of America" (a 5-gram). More detailed description on the corpus can be found in Michel et.al. (2010) Quantitative Analysis of Culture Using Millions of Digitized Books: External Link
Corpus location: External Link
