Sentence examples for random texts from inspiring English sources

Convincing information-overloaded consumers to willingly hand over their mobile digits to get random texts might seem a bit of a counter-intuitive "fix" for digital information overload.

If random texts really reproduce the rank histogram of real texts, then the histogram of real texts and those of the random texts should completely overlap.

In this article, we examine the flaws of such putative good fits of random texts.

Instead, in the random texts only the latter contribution is present.

To address Problem 3, we compare real texts with random texts of the same length.

Many authors have discussed the explanatory adequacy of random texts for real Zipf's law-like word rank distributions indirectly from inconsistencies between random texts and real texts beyond the distribution of ranks [19], [21] [24].

Besides, the rank histogram of random texts is clearly longer than that of real texts in Figs. 2 and 3.

Notice that the length in words of the random texts is the same as that of the real text.

Here's how it works: someone uploads a document — either their own creation or something in the public domain — you click "Edit Random Text," a sentence pops up, you edit it, and then click "Suggest Changes".

And don't get her started on those newly trendy captcha phrases, the squiggly lines of random text that are designed to block spammers but drive real, live customers batty.

There were no random text messages about oil wells in the San Francisco Bay.