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In classic formal approaches to linguistic modality, an utterance expressing modality is one that can always roughly be paraphrased to fit the following template: (3) According to [a set of rules, wishes, beliefs,...] it is [necessary, possible] that [the main proposition] is the case.
Modality (therapy), a method of therapeutic approach; Modality (diagnosis), a method of diagnosis; Modality (medical imaging), acquiring structural or functional images of the body; Stimulus modality, a type of physical phenomenon or stimulus that one can sense, such as temperature and sound; Modality Partnership, a British primary care provider
A modal verb is a type of verb that contextually indicates a modality such as a likelihood, ability, permission, request, capacity, suggestion, order, obligation, necessity, possibility or advice. Modal verbs generally accompany the base (infinitive) form of another verb having semantic content. [ 1 ]
Modal rhythm was an essential feature of the modal notation system of the Notre-Dame school at the turn of the 12th century. In the mensural notation that emerged later, modus specifies the subdivision of the longa .
Some combinations of signs can be multi-modal, i.e. different types of signs grouped together for effect. But the distinction between a medium and a modality should be clarified: text is a medium for presenting the modality of natural language; image is both a medium and a modality; music is a modality for the auditory media.
In linguistics, grammatical mood is a grammatical feature of verbs, used for signaling modality. [1] [2]: 181 [3] That is, it is the use of verbal inflections that allow speakers to express their attitude toward what they are saying (for example, a statement of fact, of desire, of command, etc.).
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In the context of human–computer interaction, a modality is the classification of a single independent channel of input/output between a computer and a human. Such channels may differ based on sensory nature (e.g., visual vs. auditory), [1] or other significant differences in processing (e.g., text vs. image). [2]