Sentence examples similar to non sentences from inspiring English sources

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In these papers, the author set himself the aim "to obtain an effective rule (or algorithm) for distinguishing sentences from non-sentences, which works not only for the formal languages of interest to the mathematical logician, but also for natural languages ".

vKayne (2015) examines right and again in English, 講 kong 'tell' in Taiwanese, and tu in French and his original statement is "All pronounced elements that could have been taken to be sentence-final particles in one language or another actually share the non-sentence-final-particle status that right, again, kong and tu share".

The day after this non-sentence is passed, Buenos Aires erupts.

Non-sentence speech patterns (such as the alphabet) did not generate a comparable response at this location either.

This response pattern is consistent with a participation in high-level phonological decoding, which would explain why there was no response to the subject's own voice or to perceiving noise or non-sentence auditory stimuli.

We used two spans: sentence and non-sentence.

Finally the pipeline outputs the protein names and GO categories along with the counts of how often they appear together within the sentence or non-sentence spans.

Sentence co-mentions only consider proteins and GO categories mentioned in the same sentence, whereas non-sentence co-mentions consider such pairs mentioned together in the same paragraph or abstract but not within the same sentence.

A protein is represented by two vectors in which the ith element in each vector gives the number of times that protein is co-mentioned with the GO category i within either a sentence or non-sentence span.

Sure, it's fine to use abbreviations, symbols, non-sentences, etc. when jotting down notes, but especially when something that another person will see, take the time to write properly.

Pronoun reference to subjects and non-subjects in non-TOP sentences (660 tokens) Reference to subjects: 83.48 % (551 tokens) Reference to non-subjects: 16.52 % (109 tokens).

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