Sentence examples for the utterance that from inspiring English sources

The phrase "the utterance that" is correct and usable in written English.
It can be used when referring to a specific spoken or written statement, often in discussions about language or communication. Example: "The utterance that followed the question was unexpected and sparked a lively debate."

Exact(8)

When this sort of rational maxim governing the communication of information is flouted, the audience will look for a non-standard interpretation of the utterance that would bring it back into conformity with the maxims (Grice 1989).

However, the degree of seriousness will depend on the degree of discrepancy between the utterance that was actually produced and the one that was recognized and shown by the system: the larger the deviation the more serious the error.

And no one can tell you off! Slag! Slag heap! "Don't your mum and your sisters," you could start, knowing that you had a scholastic justification for the utterance that was about to spill from your lips, "live in a slag heap?!" The room erupted with laughter.

So an utterance of (16) is really an utterance of two sentences, one with a demonstrative that then refers to the utterance that follows.

The reason might be that the tap number of the impulse response was very large and the duration of the utterance (that is, a word with duration of about 0.6 s) was very short.

Given the propositional concept of the utterance "that man is sitting", it works, in the paradigmatic case, to convey information about who is sitting, and it also has the capacity, in a different situation, to convey information about to whom I am pointing.

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Similar(51)

Nor does he deny that such thoughts (and the utterances that express them) successfully refer.

The utterances that have low intelligibility were also removed from the database.

We first deleted the utterances that contain crosstalk, background noise, and whispering from the corpus.

In addition, the definitions of each reasoning component were refined to help coders find the utterances that fit the categories.

During the segmentation procedure, the utterances that are affected by background noise/music were removed from the database, resulting in 5,303 utterances.

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