Sentence examples for the previous wording from inspiring English sources

Exact(2)

Many opponents of women bishops - who want bishops appointed to look after them who are acceptable to them - were already unsatisfied even by the previous wording, and say they are even less happy now.

Because there is some level of selection ongoing in this heteroplasmic line, we have changed the title of the first section of the results as the previous wording had implied otherwise.

Similar(58)

Define each word or term, and then provide the previous word or term from which the retronym is distinguishing itself.

It essentially builds sentences a single word at a time by analysing the previous words in that sentence.

Elman applies SRNs to a standard task in statistical NLP: predicting the next word in a corpus, given the previous words.

In phonology it exhibits initial sandhi, in which the first consonant of a word is modified according to the prehistoric final sound of the previous word in the phrase (e.g., an tobar "the well," mo thobar "my well").

In this clip the two girls are adding up 30 digits in 20 seconds while simultaneously playing "shiritori", a Japanese game in which you must say a word beginning with the last syllable of the previous word.

Johnson is apparently not as disagreeable as Mr Oswalt.What is striking, however, is that though the software can pick words that are likely to follow the previous word, the trick does not produce great phrases.

Trump is not known to back down from criticism that he believes is rooted in political correctness, but maybe he will consider the previous words of a fellow Republican, Rep. Tom Cole (R-Okla.).

In the field of language modelling, traditional n-gram techniques and modern recurrent neural network (RNN) approaches have been applied to find structure in language algorithmically and predict the next word given the previous words in the sentence or paragraph as input.

The OpenAI language model was trained on 8 million web pages in order to predict the next word, given all of the previous words within some text (which was on the same topic as the one the model was trained on).

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