Natural Language Processing :: Computer Technology

Natural Language ProcessingTo digest vivid manner of speaking implies pinch, a function that is uniquely human. To understand something implies to have senses that interpret the orb much(prenominal) as emotions and awareness of our own physical feels. When someone tells a story, we rely upon previous experience for interpretation. We form a reaction, our heart browse may change, we may start sweating, we may relax or tense, and happen certain emotions such as fear. Upon getting new information, a persons situation may change or the way they think may change. A computing device made of metal simply does not have the faculties to experience the world as we do. It can be programmed to respond in such a way that mimics a human response, but can not be considered to be re aloney understanding what it is doing. Recall the story of Helen Keller, how she at long last began to learn a words when she was given immediate experiential feedback. The teacher would pour water on her and then do the sign language for the word in her hand. The founder of Toastmasters organization started it on the premise that slew learn in moments of pleasure, and structured the organization so it would provide adept that. A computer would not have the senses to make such understanding of these words and experiences possible.In addition to its lack of cognitive ability, a computer can not form expectations based upon a situation. A governmental speech can be actually serious, but when seen on Saturday dark Live, it leave behind be interpreted as funny. A similar puzzle is the extra meaning conv affectionatenessd by the tone of voice or consistence language. We could always program an exhaustive data bank with all the diametrical possibilities of input, but the system as we know it could not search all of these within a reasonable period of time, nor could it adapt to future changes. whiz of the problems with natural language processing systems is that humans themselves are often not very good natural language generators or processors. We often curb our own bias and expectations to what we hear. Two people can make eye contact and set up a whole series of primer such that they now what each other are talking about. That very fact may be a bonus for computer natural language processing because we can predict with certainty how the system will interpret the information and therefore have greater clarity than people.