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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 ...
Readers use context clues and other evaluation strategies to clarify texts and ideas, and thus monitoring their level of understanding. Asking Questions: To solidify one's understanding of passages of texts, readers inquire and develop their own opinion of the author's writing, character motivations, relationships, etc. This strategy involves ...
Text linguistics is a branch of linguistics that deals with texts as communication systems.Its original aims lay in uncovering and describing text grammars.The application of text linguistics has, however, evolved from this approach to a point in which text is viewed in much broader terms that go beyond a mere extension of traditional grammar towards an entire text.
A context model (or context modeling) defines how context data are structured and maintained (It plays a key role in supporting efficient context management). [1] It aims to produce a formal or semi-formal description of the context information that is present in a context-aware system. In other words, the context is the surrounding element for ...
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
Context-aware systems are concerned with the acquisition of context (e.g. using sensors to perceive a situation), the abstraction and understanding of context (e.g. matching a perceived sensory stimulus to a context), and application behaviour based on the recognized context (e.g. triggering actions based on context). [10]
Word has a variety of meanings, and our understand of ideas such as vocabulary size differ depending on the definition used. The most common definition equates words with lemmas (the inflected or dictionary form; this includes walk, but not walks, walked or walking). Most of the time lemmas do not include proper nouns (names of people, places ...
WordNet aims to cover most everyday words and does not include much domain-specific terminology. WordNet is the most commonly used computational lexicon of English for word-sense disambiguation (WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. [14]