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The Institute for Creative Technologies defines a cognitive architecture as a "hypothesis about the fixed structures that provide a mind, whether in natural or artificial systems, and how they work together — in conjunction with knowledge and skills embodied within the architecture — to yield intelligent behavior in a diversity of complex ...
Chinese translation theory was born out of contact with vassal states during the Zhou dynasty. It developed through translations of Buddhist scripture into Chinese . It is a response to the universals of the experience of translation and to the specifics of the experience of translating from specific source languages into Chinese.
Psycholinguistics or psychology of language is the study of the interrelation between linguistic factors and psychological aspects. [1] The discipline is mainly concerned with the mechanisms by which language is processed and represented in the mind and brain; that is, the psychological and neurobiological factors that enable humans to acquire, use, comprehend, and produce language.
Connectionist Learning with Adaptive Rule Induction On-line (CLARION) is a computational cognitive architecture that has been used to simulate many domains and tasks in cognitive psychology and social psychology, as well as implementing intelligent systems in artificial intelligence applications.
Historically, questions regarding the functional architecture of the mind have been divided into two different theories of the nature of the faculties. The first can be characterized as a horizontal view because it refers to mental processes as if they are interactions between faculties such as memory, imagination, judgement, and perception, which are not domain specific (e.g., a judgement ...
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There is a separate tradition of translation in South, Southeast and East Asia (primarily of texts from the Indian and Chinese civilizations), connected especially with the rendering of religious, particularly Buddhist, texts and with the governance of the Chinese empire. Classical Indian translation is characterized by loose adaptation, rather ...
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]