Google Books Ngram – Books Ngram Viewer | How do I use Google Ngram?

Google Books Ngram – This is a statistical analysis of speech or text content to locate a number of some sort of item in the text. The search item can be anything, including phonemes, prefixes, phrases, and letters.

An Ngram is obscure outside the research community; it is used in various fields and has so many implications for developers who are coding computer programs that understand and respond to natural languages.

However, in the case of Google Ngram, the text to be analyzed comes from a large number of books in the public domain that google scanned to populate its google books search engine for google books Ngram viewer, the body of the text is referred to by Google as the corpus.

Google Books Ngram

About Google Ngram Viewer

When you enter phrases into the Google Books Ngram Viewer, it displays a graph showing how those phrases have occurred in a corpus of books (e.g., “British English”, “English Fiction”, “French”) over the selected years.

This shows trends in three ngrams from 1960 to 2015: “nursery school” (a 2-gram or bigram), “kindergarten” (a 1-gram or unigram), and “child care” (another bigram). What the y-axis shows is this: of all the bigrams contained in our sample of books written in English and published in the United States, what percentage of them are “nursery school” or “child care”? Of all the unigrams, what percentage of them are “kindergarten”? Here, you can see that use of the phrase “child care” started to rise in the late 1960s, overtaking “nursery school” around 1970 and then “kindergarten” around 1973. It peaked shortly after 1990 and has been falling steadily since.

(Interestingly, the results are noticeably different when the corpus is switched to British English.)

The Ngram viewer aggregates by language, and you can also singly analyze British and American English or even lump them together. We will be discussing all you need to know about the google book Ngram viewer.

How Google Book Ngram Viewer Works

Here is how the google book Ngram viewer works in analyzing. First, you will need to access the Google book Ngram viewer. To access the Google book Ngram viewer access, follow the steps below:

  • Access  Google book Ngram
  • There are texts like Albert Einstein, Sherlock Holmes, Frankenstein suggested by googly to get you started. You can also type any text you want to analyze, separate each techy with a comma.

Note: in Google books, Ngram viewer searches are case sensitive, unlike the Google web search

  • Choose a date range. The default is 1800 to 2000.
  • Select a corpus. You can search foreign language text or English texts, and in addition to the standard choices, you may also notice entries such as “English (2009)” or “American English (2009)” at the bottom of the list. These are older corpora that google has since updated, but you can have a few reasons to make your comparison against old data sets. Most users can ignore them and focus on the most recent corpora.
  • Set the smoothing level; the smoothing level is the graph at the end. The most accurate representation reflects a level of 0, but that settling may be difficult to read. The default is set to 3; in most cases, you need to adjust.
  • Tap on search for lots of books. With the google Ngram viewer, you can drill down into the data; if you like to search for the verb fish instead of the noun fish, you can do so by using tags. And you will have to do so by searching for fish VERB

Google Ngram make provision for a comprehensive list of commands and other advanced documentation for use with Ngram viewer on its website.

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