Multiple Communication Channels in Literary Texts

The statistical theory of language translation is used to compare how a literary character speaks different audiences by diversifying two important linguistic communication channels: the “sentences channel” and “interpunctions channel”. can “measure” author shapes speaking audiences, modulating deep-language parameters. To show its power, we have applied corpus Maria Valtorta, an Italian mystic XX-century. likeness index , ranging from 0 1, allows channels are similar, therefore implying that in same way. A 6-dB difference between signal-to-noise ratios already gives IL ? 0.5, threshold below which depend very little on each other, addresses differently. In conclusion, multiple describe “fine tuning” uses diversify characters or distinguish behavior situations. be corpora written any alphabetical language.