Sentence examples similar to word sampling from inspiring English sources

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The Mega32 only has 2 KiloBytes of RAM and a word sampled at 4 KHz for a half a second would require 2 Kilobytes of memory to store.

CNN Concatenated is an 18-minute collage of thousands of single spoken words sampled from the US rolling news network rearranged to form an ambiguous but threatening narrative.

"It's the rare novelist who in the space of a year finds her words sampled by Beyoncé, optioned by Lupita Nyong'o and honoured with the National Book Critics Circle award for fiction," writes Time deputy managing editor Radhika Jones of the author.

The disc opens with an insouciant 10-minute masterpiece called "Easy Lee," on which a few words, sampled and digitally processed, provide not only the melody but the momentum, too -- the beat fades in and out, as if to demonstrate that it's not really needed.

The first modern corpus, the Brown Corpus of Standard American English, was compiled in 1964 and included 1m words, sampled from 500 texts including romance novels, religious tracts and books of "popular lore" – contemporary, everyday sources that dictionary-makers had barely consulted, and which it had never been possible to examine en masse.

The proportion of users whose topological community association is correctly predicted by analysing a random sample of words, as a function of the number of words sampled.

The proportion of topological groups predicted correctly from analysis of word usage increases roughly exponentially with the number of words sampled from each user (Figure 2).

Moreover, we were able to predict the network community of a user, a purely structural feature, by studying his or her word usage, and we found that this was possible with rapidly growing accuracy for relatively few words sampled.

Finally, based on this HMM, we design a classifier for recognition of handwritten word samples.

Next, certain angular and linear features are extracted from the sub-strokes of word samples and are modelled as feature vectors generated from a mixture distribution.

The main steps here are segmentation of handwritten word samples into sub-strokes, feature extraction from the sub-strokes and recognition.

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