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One kind of modal word is the modal verb (should, can, might, and ought, as well as oblige, need, and require). Other types of modal words in English include modal adjectives ( likely , probable , necessary ), modal adverbs ( probably , perhaps , certainly ), modal prepositions ( despite , unless , if ), and modal nouns ( possibility ...
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.
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 ]
The English modal auxiliary verbs are a subset of the English auxiliary verbs used mostly to express modality, properties such as possibility and obligation. [a] They can most easily be distinguished from other verbs by their defectiveness (they do not have participles or plain forms [b]) and by their lack of the ending ‑(e)s for the third-person singular.
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
The negative form would not + verb negates the main verb, but in the conditional and intentional mood in the first person the intentional modality may also be negated to indicate negative intention. will has a number of different uses involving tense, aspect, and modality: [5]: pp. 21, 47–48 [25]: pp. 86–97,
Multimodality (as a phenomenon) has received increasingly theoretical characterizations throughout the history of communication. Indeed, the phenomenon has been studied at least since the 4th century BC, when classical rhetoricians alluded to it with their emphasis on voice, gesture, and expressions in public speaking.
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...