All Videos Tagged million (THE OFFICIAL RESISTANCE) - THE OFFICIAL RESISTANCE2024-05-17T12:34:39Zhttps://resistance2010.com/video/video/listTagged?tag=million&rss=yes&xn_auth=noWhat we learned from 5 million bookstag:resistance2010.com,2011-09-30:3228704:Video:2598062011-09-30T17:59:43.433ZEarnest james coutuhttps://resistance2010.com/profile/Earnestjamescoutu
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</a> <br></br><a href="http://www.ted.com">http://www.ted.com</a> Have you played with Google Labs' NGram Viewer? It's an addicting tool that lets you search for words and ideas in a database of 5 million books from across centuries. Erez Lieberman Aiden and Jean-Baptiste Michel show us how it works, and a few of the surprising things we can learn from 500 billion words.<br></br>
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An…
<a href="https://resistance2010.com/video/what-we-learned-from-5-million-books"><br />
<img src="https://storage.ning.com/topology/rest/1.0/file/get/2511896921?profile=original&width=240&height=135" width="240" height="135" alt="Thumbnail" /><br />
</a><br /><a href="http://www.ted.com">http://www.ted.com</a> Have you played with Google Labs' NGram Viewer? It's an addicting tool that lets you search for words and ideas in a database of 5 million books from across centuries. Erez Lieberman Aiden and Jean-Baptiste Michel show us how it works, and a few of the surprising things we can learn from 500 billion words.<br />
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An n-gram is a subsequence of n items from a given sequence. The items in question can be phonemes, syllables, letters, words or base pairs according to the application.<br />
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An n-gram of size 1 is referred to as a "unigram"; size 2 is a "bigram" (or, less commonly, a "digram"); size 3 is a "trigram"; size 4 is a "four-gram" and size 5 or more is simply called an "n-gram". Some language models built from n-grams are "(n − 1)-order Markov models".<br />
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An n-gram model is a type of probabilistic model for predicting the next item in such a sequence. n-gram models are used in various areas of statistical natural language processing and genetic sequence analysis.<br />
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Link to Google Ngram Viewer : <a href="http://books.google.com/ngrams/graph?content=Red%2CBlue%2C&year_start=1800&year_end=2008&corpus=0&smoothing=3">http://books.google.com/ngrams/graph?content=Red%2CBlue%2C&year_start=1800&year_end=2008&corpus=0&smoothing=3</a>