| The natural languages are relative to artificial language, and they are tools of thinking and communication. Beginning in the 1960s, Natural Language Understanding is an important direction in the field of artificial intelligence by studying computer science. Natural Language Understanding research various theories and methods to make computer use natural languages and let the computer can produce people expected response. Using natural language to communicate with computer is the dream of human beings, and it has very important practical significance.But nowadays behind highly developed computer science, Natural Language Understanding seems unequal, and even has a long-term stagnation. The consequent reasons are:One is the mankind simplifies natural languages too much. We believe that a language is merely a symbol system, so that computers can work well on the natural language processing, but actually the complexity and fuzziness of languages are far beyond human's imagination, and they have strong cultural and contextual relevance. The other one is that the intrinsic mechanism of Natural Language Understanding can't satisfy the requirements of natural language processing, because that of Natural Language Understanding is analyzing the input sentences and pointing out every word, then contrasting the words to dictionary in computers to obtain the meaning; and human's understanding of natural languages has a strong integrity, that is the overall awareness of external input, and understanding is the foundation. of other cognitive activities.Based on the two problems of natural language understanding, this paper attempts to firstly study the essence of human's understanding of natural languages, then summarizes various the common properties of Natural Language Understanding systems, by contrasting the two find out its essential difficulties of Natural Language Understanding and tries to supply the right advice to point out the feasible road. |
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