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<oembed><version>1.0</version><provider_name>OnWords</provider_name><provider_url>https://blog.ackgame.com/onwords</provider_url><author_name>Russ</author_name><author_url>https://blog.ackgame.com/onwords/author/russell/</author_url><title>Google Ngram story - OnWords</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="fMpsXQhEyk"&gt;&lt;a href="https://blog.ackgame.com/onwords/google-ngram-story/"&gt;Google Ngram story&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://blog.ackgame.com/onwords/google-ngram-story/embed/#?secret=fMpsXQhEyk" width="600" height="338" title="&#x201C;Google Ngram story&#x201D; &#x2014; OnWords" data-secret="fMpsXQhEyk" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Every so often I&#x2019;ve used the predictive power of the Google Ngram Viewer to create a story from a seed phrase. I fed Ngram the italicized words in the story and the website predicts the next word based on the last three or four words. It gives the ten most frequent following words (if there [&hellip;]</description></oembed>
