Natural Language Processing :: Computer Technology

Natural Language ProcessingTo digest natural quarrel implies arrangement, a function that is uniquely clement. To understand something implies to have senses that interpret the world such as emotions and awareness of our own physical experiences. When someone tells a story, we hope upon previous experience for interpretation. We form a reaction, our heart rate may change, we may start sweating, we may relax or tense, and feel certain emotions such as fear. Upon getting new information, a persons attitude may change or the way they think may change. A computer made of alloy simply does not have the faculties to experience the world as we do. It underside be programmed to respond in such a way that mimics a human response, but can not be considered to be really understanding what it is doing. Recall the story of Helen Keller, how she finally began to learn a language when she was given prompt experiential feedback. The teacher would pour water on her and then do the sign langua ge for the word in her hand. The founder of Toastmasters organization started it on the predate that people learn in moments of pleasure, and structured the organization so it would provide just 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 political name and address can be very serious, but when seen on Saturday Night Live, it leave be interpreted as funny. A similar problem is the extra meat conveyed by the tone of voice or body language. We could always program an exhaustive data bank with all the different 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. One of the problems with natural language processing systems is that homo themselves are often not very good natural language generators or proces sors. We often apply our own bias and expectations to what we hear. Two people can make eye contact and set up a whole series of background 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.