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Monroe's motivated sequence is a technique for organizing persuasion that inspires people to take action. Alan H. Monroe developed this sequence in the mid-1930s. [1] This sequence is unique because it strategically places these strategies to arouse the audience's attention and motivate them toward a specific goal or action.
Research has shown that the speech is more apt to objective interpretation than inputs to the visual system. This indicates that auditory information is first processed for its physical features, and then combined with visual information features. [12] Moreover, allocation of attention is a product of both voluntary and reflexive attention.
During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [24] would encode an input text into a fixed-length vector, which would then be decoded into an output text.
An example of this could be if someone uttered the sentence "I'm hungry." The perlocutionary effect on the listener could be the effect of being persuaded by the utterance. For example, after hearing the utterance, the listener could be persuaded to make a sandwich for the speaker.
A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable information about preceding tokens.
Examples include sentences like The critic wrote the book was enlightening, which is ambiguous when The critic wrote the book has been encountered, but was enlightening remains to be processed. Then, the sentence could end, stating that the critic is the author of the book, or it could go on to clarify that the critic wrote something about a book.
Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models.
Discourse analysis – analysis of language use in texts (spoken, written, or signed) Linguistic typology – comparative study of the similarities and differences between language structures in the world's languages. Applied linguistics – finding solutions to real-life problems related to language