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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 instance the coherence relation between sentences.
Coherence in linguistics is what makes a text semantically meaningful. It is especially dealt with in text linguistics.Coherence is achieved through syntactic features such as the use of deictic, anaphoric and cataphoric elements or a logical tense structure, and semantic features such as presuppositions and implications connected to general world knowledge.
In developmental psychology, thematic coherence is an organization of a set of meanings in and through an event. [1] In education , for example, the thematic coherence happens when a child during a classroom session understands what all the talking is about.
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.
In some systems, such as water waves or optics, wave-like states can extend over one or two dimensions. Spatial coherence describes the ability for two spatial points x 1 and x 2 in the extent of a wave to interfere when averaged over time. More precisely, the spatial coherence is the cross-correlation between two points in a wave for all times.
It is related to the broader concept of coherence. There are two main types of cohesion: grammatical cohesion: based on structural content; lexical cohesion: based on lexical content and background knowledge. A cohesive text is created in many different ways.
The distinction between spatial and spatio-temporal patterns in nature is not clear-cut because a static, invariable pattern will never occur in the strict sense. Even rock formations will slowly change on a time-scale of tens of millions of years, therefore the distinction lies in the time scale of change in relation to human experience .
Spatial–temporal reasoning is an area of artificial intelligence that draws from the fields of computer science, cognitive science, and cognitive psychology.The theoretic goal—on the cognitive side—involves representing and reasoning spatial-temporal knowledge in mind.