Language understanding descriptive summary

Language understanding

            A language is a set of signals that have meaning based on tradition. Traffic signs establish a mini-language, with the danger-ahead sign, for instance, indicating a hazard ahead. This language-specific meaning-by-convention differs significantly from what is known as natural meaning, as shown by phrases such as ‘Those clouds signify rain’ and ‘The pressure drop suggests the valve is faulty.’ A significant characteristic of fully developed human languages, like English, is their productivity, differentiating them from other forms of communication, like bird calls and traffic sign structures. An effective language is sufficiently rich to allow for the formulation of an infinite variety of different sentences. It is relatively straightforward to write software programs capable of responding fluently in English to questions and comments in severely restricted contexts.  A properly programmed computer could use language without recognizing it, in concept to the point of being indistinguishable from the behavior of a native human speaker.   Understanding is contingent on not only one’s demeanor but also on one’s antiquity: to be said to understand, and one should have learned to speak and been made to take one’s spot in the linguistic system through engagement with other language users.                             

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Literature review

Artificial intelligence (AI) is traditionally characterized as a computer system’s capacity to execute problem-solving, reasoning, and learning functions. Independent learning is the most essential of these processes since it reduces the requirement for human interaction to continuously improve the system’s performance (Arora, 2020). As AI becomes more widely accepted as an enabling technology, it can facilitate cross-disciplinary creativity. Artificial intelligence (AI) systems can outperform human employees in productivity, dependability, and hours worked. It’s an important field of innovation for many health care organizations that are now struggling with a lack of qualified workers, rising demand, and severe budgetary restrictions. Experts in the industry have acknowledged the potential of AI to enhance healthcare and overcome long-standing shortcomings(Topol, 2019). 

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