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Verbal context influences the way an expression is understood; hence the norm of not citing people out of context. Since much contemporary linguistics takes texts, discourses, or conversations as the object of analysis, the modern study of verbal context takes place in terms of the analysis of discourse structures and their mutual relationships ...
SlideBoom turns slide presentations into Adobe Flash so they can be viewed without slide presentation software. [11] [12] SlideOnline allows the user to upload PowerPoint presentations and share them as a web page in any device or to embed them in WordPress as part of the posts comments. [13] Another way of sharing slides is by turning them ...
The meaning of the sentence depends on an understanding of the context and the speaker's intent. As defined in linguistics, a sentence is an abstract entity: a string of words divorced from non-linguistic context, as opposed to an utterance, which is a concrete example of a speech act in a specific context. The more closely conscious subjects ...
Recontextualisation is a process that extracts text, signs or meaning from its original context (decontextualisation) and reuses it in another context. [1] Since the meaning of texts, signs and content is dependent on its context, recontextualisation implies a change of meaning and redefinition. [1]
A presentation program is commonly used to generate the presentation content, some of which also allow presentations to be developed collaboratively, e.g. using the Internet by geographically disparate collaborators. Presentation viewers can be used to combine content from different sources into one presentation.
The main purpose of a context model is to provide the language model with a better understanding of the context surrounding words, phrases, or sentences, so that it can generate more coherent and contextually appropriate responses. In deep learning-based language models like GPT-4 or BERT, the context model is an inherent part of the architecture.
The logogen model of 1969 is a model of speech recognition that uses units called "logogens" to explain how humans comprehend spoken or written words. Logogens are a vast number of specialized recognition units, each able to recognize one specific word. This model provides for the effects of context on word recognition.
The CBOW can be viewed as a ‘fill in the blank’ task, where the word embedding represents the way the word influences the relative probabilities of other words in the context window. Words which are semantically similar should influence these probabilities in similar ways, because semantically similar words should be used in similar contexts.
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