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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 ...
For example, the sentences "Pat loves Chris" and "Chris is loved by Pat" mean roughly the same thing and use similar words. Some linguists, Chomsky in particular, have tried to account for this similarity by positing that these two sentences are distinct surface forms that derive from a common (or very similar [1]) deep structure.
"READ" is a good example of the "context effects" role in the word superiority effect by having us assume that the E and the A behind the ink blot are completed. Perhaps the greatest amount of research concerning context effects comes from marketing research. Context effects can influence consumers' choice behavior. [15]
Key Word In Context (KWIC) is the most common format for concordance lines. The term KWIC was coined by Hans Peter Luhn . [ 1 ] The system was based on a concept called keyword in titles , which was first proposed for Manchester libraries in 1864 by Andrea Crestadoro .
A modular view of sentence processing assumes that each factor involved in sentence processing is computed in its own module, which has limited means of communication with the other modules. For example, syntactic analysis creation takes place without input from semantic analysis or context-dependent information, which are processed separately.
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 ...
Context-free grammars arise in linguistics where they are used to describe the structure of sentences and words in a natural language, and they were invented by the linguist Noam Chomsky for this purpose. By contrast, in computer science, as the use of recursively-defined concepts increased, they were used more and more.
Prompt engineering can possibly be further enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [ 62 ] of large language models .
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