Sentence examples for predict words from inspiring English sources

Botnik wrote a Large Pile of Ash with something they're calling a predictive keyboard, which is an AI bot that's able to predict words and phrases in a given piece of writing based on what came before.

Children predict words using their knowledge of how sentences are formed and learn how to check their work for sense.

Another interesting strategy for generating vectors is the skip-gram modeling from [15], in which a log-linear classifier tries to predict words surrounding a given word.

SwiftKey was founded by friends Jon Reynolds and Dr Ben Medlock who are Math geniuses and realised they could build an engine which could predict words and phrases as people typed them.

On another aspect, different types of lexical units in a hybrid LM provide different levels of linguistic information which can be combined to better predict word probability.

Number Recall (auditory-phonological WM) did not significantly predict Word Order for either age group.

It was only when we saw how well these word frequencies were doing to predict word processing times for thousands of words [12], [13] that we started to appreciate their potential.

LTO was found to significantly predict word repetition scores (p = 0.041, R = 0.282), whereas lesion size was found to be non-significant (p = 0.052, R = 0.259).

But instead of focusing on predicting words, LetterWise predicts letters.

Predicting words is a useful online lesson aimed at students under seven.

To use the model for word sense disambiguation, we constrain the predicted words to be possible senses for the word under consideration.