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The n-grams are matched with the text within the selected corpus, and if found in 40 or more books, are then displayed as a graph. [6] The Google Books Ngram Viewer supports searches for parts of speech and wildcards. [6] It is routinely used in research. [7] [8]
I was aware of WP:GOOGLE but the above hit numbers at least point to a statistically unignorable gap between the two entries, and Ngrams point to the same tendency, and there are in fact quite some reliable secondary sources for "Google Books Ngram Viewer" such as . I don't see much reason to follow the spirit of WP:OFFICIALNAMES here because ...
Google Books (previously known as Google Book Search, Google Print, and by its code-name Project Ocean) [ 1] is a service from Google that searches the full text of books and magazines that Google has scanned, converted to text using optical character recognition (OCR), and stored in its digital database. [ 2]
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Michel and Aiden helped create the Google Labs project Google Ngram Viewer which uses n-grams to analyze the Google Books digital library for cultural patterns in language use over time. Because the Google Ngram data set is not an unbiased sample, [5] and does not include metadata, [6] there are several pitfalls when using it to study language ...
n. -gram. An n-gram is a sequence of n adjacent symbols in particular order. The symbols may be n adjacent letters (including punctuation marks and blanks), syllables, or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome.
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