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Analysis of natural language processing, intelligent application of information

Paper Keywords: artificial intelligence, natural language processing, language translation
Abstract: Natural language information processing technology is the key to human-Computer interaction, has been rapid Development. Paper first discusses a simple origin and Development of the technology, then focuses on the technology's extensive text and voice applications. Can predict the further Development of Computer technology, natural language information processing technology will be applied to more fields.

I. Introduction
With Computer technology and artificial intelligence in recent years the rapid Development of natural language information processing technology has made great strides. At the same time people in the fast information retrieval, language translation, voice control and other needs more pressing. How natural language processing Research results obtained in the text, voice and other aspects of applied Research has become a key papers from the natural language information processing basis, systematic exposition of it's extensive voice and text applications.

Second, natural language information processing technology Overview
Natural language information processing technology produced in the late 1940s, it is through the use of Computer technology for natural language processing, a technology, which is mainly to facilitate communication between man and Computer generated due to computer logic features and strict norms of flexible natural language allows more complex natural language processing technology through years of Development, the technology has made tremendous progress. The process can be summarized as follows: formal description language, processing algorithms design, implementation and evaluation of processing algorithms, among which is the formal description language, the language itself by the laws of nature study, and then use mathematical methods to describe, in order to facilitate computer processing, can also be considered for mathematical modeling of natural language . processing algorithm design is to transform the language of mathematics as a formal description of a computer operable to control the object. processing algorithm implementation and evaluation is through the programming language (like C language) out of the algorithm and its performance and functionality assessment. It is mainly related to computer technology, mathematics (mainly modeling, statistics, linguistics and other aspects.

Third, the intelligent application
Through years of Research, natural language information processing technology has made tremendous progress, especially in the application. It is mainly used in both text and voice.

(A natural language information processing in the intelligent application of the text area
In the text, the natural language processing technology is mainly used in language translation, character recognition, text information filtering, information retrieval and restructuring, etc., of which language automatic translation is a very important and has great practical significance of the project which involves the computer technical, mathematical modeling techniques, psychology and linguistics and other aspects of the subject through the efforts of recent years has been some development of Natural Language Processing technology has been improved in many aspects of translation efficiency and accuracy. such as natural language processing in the form of language analysis and translation of technical analysis of the ambiguity is important, can be a good deal more in the Italian translation of the phenomenon and ambiguity, thereby enhancing translation accuracy character recognition with a wide range of business application prospects It is a branch of pattern recognition. The main character recognition process can be divided into pre-processing, recognition and post-processing Currently, character recognition has been widely used, and the result is good, but there are no accurate identification of problems, main problem lies in the rationality, and which involves the use of post-processing on the meaning or recognize the results of the corpus and other reasonable verification by the technology can not accurately identify a good solution to the problem of identifying when there is not accurate, there multiple recognition results can be verified by reasonable and efficient technology to filter out unusual options, enabling rapid and accurate identification of present natural language information processing technology in the text area is the most widely used text retrieval by using natural language information processing technology, one can quickly analyze the user to enter accurate information and provide a more accurate understanding of the search keywords, and retrieve the input range can be extended, allowed not only limited to the text input area, such as using voice input or image-based input On the other hand, through the use of natural language information processing technology can process the information in the search to allow users to access a more efficient and accurate information rather than a flood of information sources (such as many web pages, because the natural language processing and text combination of recombinant technology can greatly improve search results, narrowing the range of answers to improve the accuracy of course, also can improve the retrieval efficiency. At present, the Chinese text retrieval has been widely used, and to good effect.

If further Research in natural language information processing technology, will be able to achieve automated information access and restructuring, so that will be able to automatic summary generation, intelligent text generation, automatic document classification and automatic sorting. If further integration of artificial intelligence technology, will be able to law to achieve literary exploration, automatic programming, intelligent decision-making and other aspects of the application, so that work can alleviate human strength, let us from the tedious work out the basis, have more time to reflect, so that it can more effectively promote technology progress. Links to free download http://www.hi138.com (two natural language information processing in terms of intelligent voice applications
In the speech, the natural language processing technology is mainly used in automatic simultaneous interpretation, robot chat systems, voice and multimedia mining and mining support systems and other specific aspects of smart people, among which, mainly related to the automatic simultaneous voice modeling, identification and language translation, etc., using natural language processing technology for automatic interpretation of every aspect can be improved, the most direct translation of some part of that language, but also may involve the conversion of voice and text, especially in voice and text conversion, currently appearing in the Chinese out of a sound like the problem is, that sounds like the word different situations, if such a situation using natural language processing technology to verify them, will be able to improve its conversion effect, thereby enhancing the quality and accuracy of conversion. robot chat system involves more extensive content, such as automatic answering system in the inevitable robot chat system involves the conversion of voice and text, and logical reasoning to answer automatically through natural language processing technology will be able to understand the meaning, logical reasoning and knowledge application, etc. to be significantly improved, thus making the response rate and reply to other aspects of the relevance and accuracy have been improved to some extent, thereby enhancing the chat system application sex in the voice and multimedia mining in mining, natural language processing technology is mainly reflected in the enhanced sense of understanding and improving the retrieval speed in these two areas by hand according to the technology for voice contains the exact meaning, so as to collect information provide the basis for the same time, the use of the technology also helps in data mining for information retrieval and summarized.

With artificial intelligence, computer vision technology, rapid development, natural language processing technology can be applied, such as automatic scene interpretation system, etc. that is, natural language processing technology combined with technical and logical reasoning, image understanding technology, can accurately describe the current scene what happened, and if they can be compared on a scene description of the scene can change in a timely manner, and through the effective organization able to achieve the automatic scene description further use of artificial intelligence, knowledge base and voice generation technology can achieve automatic scene interpretation, even to achieve such as automatic scene change football so quick explanation of the same time, but also provide assistance for specific populations, such as providing auxiliary systems for the blind, to help blind people identify objects, and some other help. can also be applied to voice control, voice control is also a wide range of needs, can be applied in many ways, the natural language processing technology, voice modeling technology, computer technology and control technology can achieve a combination of voice control, and even can be applied intelligent control and management of the plant.

CONCLUSIONS
Natural language processing in recent years a great development, the key technology to get a breakthrough. The technology development of new technologies can deal with text processing and voice services have extensive and far-reaching impact. At present, it is certain that natural language processing technology for text processing and speech processing in the modeling, identification, comprehension will have a significant role, even as the technology can predict the further development and application of multimedia technology will play a significant role. If, after further development, the technology will have a greater control on the current impact of.

References:
[1] Wang D, Li Xianghong, Wang Xin. Generation of machine translation transformation [J]. IT ,2002,6:68-70
[2] Zhou Huiping, Wang Ting, Chen Huo-wang. Chinese-English translation system IcENT intermediate language design [J]. Computer Research and Development ,2000,37,3:336-343
[3] Houzhi Xia, Cao. Overview of natural language processing and prospects [J]. Shandong Foreign Language Teaching ,2003,5:53-55 Links to free download http://www.hi138.com

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