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Levelt postulates that the semantic structure of an utterance is marked for sentence mood [1].
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In it, all nouns are marked for case, an ending that tells what function the word has in a sentence (subject, direct object, possessive and so on).
All were marked for United Russia.
We propose using the Focus to Emphasize Tone (FET) analysis, which includes: (i) generating the constraints for foci, speaker's intention and prosodic features, (ii) defining the intonation patterns, (iii) labelling a set of prosodic marks for a sentence.
Deficits in the ability to process duration in general and syllable length in particular would render it difficult to discriminate between stressed and unstressed syllables and to identify the crucial parameters required for appropriately identifying intonational phrase boundaries which are important for marking word and sentence boundaries.
Once the community of signers reached a critical mass, the language started becoming more complex: People in the first generation could link words, but not in consistently meaningful ways, whereas people in the second and third generations had full systems for marking complex sentences, conversational asides, and clauses, as Sandler reported in Gesture in 2012.
In case impact words are detected in a sentence, the sentence is marked as an impact sentence.
They contain a sentence-initial question word and are marked with a sentence-final question marker hin.
The test score was number of correctly marked sentences.
The remaining important text format features for sentence detection are Double " \n", marking and end of a text passage, and No " \n".
When multiple impact words are detected in a sentence, the sentence is marked multiple times as an impact sentence.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com