Its application in natural language processing and automation technology
introduction
As an important branch of artificial intelligence, natural language processing in the current academic field is very marketable. No matter from which point of view, natural language processing technology, very forward-looking. At present, the popular software translation software should be based on natural language processing technology to the actual market will from time to time under the spell checking software, speech recognition software. It is undeniable that these practical software technology does to our daily lives much more convenient, but in fact, we do not just want natural language processing technology can play a role in our daily lives, and hope that this technology can approached in our academic field. Nowadays papers translation, abstracts and other technology that is one of them.
As an automation professional students want more natural language processing technology can bring some convenience-oriented professional, making automation technology one step closer, and this article is based on the premise that the analysis of natural language processing technology to bring automation What's convenience.
Natural language processing technology
Natural language processing technology
Daily life, we communicate in the language, we have to describe the law of development of things and create a mathematical language, and even communication between animal language, its essence is a natural language, how to identify these computer languages, and even from identification to these languages to discover behind these laws contain language, or find the law from the existing language literature, creating something entirely new, the problem is the need to study this technology.
However, understanding these natural language is not simple, and even that is extremely difficult. The computer itself does not understand natural language, it can be understood only 0 and 1 binary code, with the later predecessors and make unremitting efforts, in the machine language of 0s and 1s, he invented the assembly language, and even senior language. These languages are also getting closer to be able to understand human language, in fact, these programming languages, the machine can "understand."
Natural language processing technology, the machine can not truly understand the language, in fact, this is not possible, we are asking for is the ability to let the computer through a series of techniques to acquire these automatic analysis of natural language, and can be reached a good feedback, for example, we want the machine to be able to correctly identify a foreign language translation, or recording an important occasion to properly record and can be accurate recordings converted to text.
Natural language processing technology scenarios and future expectations
Remember hearing fly language is currently on the market is the fire of a voice recognition software, this software can everyday conversation, and the ability to convert speech to text, and conversion accuracy rate of 90 percent or more, who often attend the meeting who is undoubtedly a work tool. Baidu translation is also popular translation software, capable of English literature and other textual content, translated into Chinese or translating Chinese into English text, of course, it also supports Japanese and other languages, this article can not read English people who , it must be the best choice. Abstract is nowadays one of the more fire technology, which can quickly retrieve a very important part of a thesis paper in keywords, such as the core content.
Thus, the application of natural language processing technology scene is very wide, it can be applied to simultaneous translation, Analog Dialogue, abstracts, voice conversion and other important occasions. It may also be noted that this technology is bound to change the pattern of people's lives in the future.
In fact, the technology is far less mature than we thought. At least, that this technology does not make a conversation with a computer simulation of a human, or the extent of imitation does not live up to expectations and human dialogue similar effect, and face many academic areas of language understanding, more ragged, but whatever how, the technology of the future application market, must be broad.
Application of natural language processing techniques in the field of automation
Automation technology, is also one among the more fire technology, automation technology industry is a very important technology, it is widely used in automatic control field. Turning to the relationship between natural language processing technology and automation technology, both of which seem to eight-pole could not beat, but careful study, there are still many of the same places, either from the automation itself to see the natural language processing technology, or from one specific technology to see this technology, there are many intricate links.
Translation Automation
A major application of natural language processing technology in the field of automation, professional translation is, at the forefront of many foreign papers tend to show the skill, the automatic is no exception, with respect to general translation, professional translation is more a test of a person's English level, the leading automation talents are often very excellent English skills, but for English proficiency generally speaking, it is quite difficult for translation, natural language processing technology, can solve such a problem.
Translation areas of expertise, compared to traditional translation is more complex, translation is not the same bilingual, but also have the right understanding, professional translation is better than the natural translation of non-professionals, but professionals in English level than the level of non-professionals to many poor. The reason why the two are different, because different areas of specialized vocabulary for pure English translation, the more difficult to understand, therefore, we hope to translate professional papers, it seems more reliable.
So, we hope that the natural language processing technology, has its own professional, to have a comparable understanding of professionals specialized in each area, or even higher. For automation professionals, this technology will bring the Gospel.
Teaching
Since the natural language processing technology enables machines to understand natural language, then, this technology should also be one step closer, hoping that this technology can replace part of the teacher's career, or that have a teaching function. Both "understand" natural human language, as well as academic thinking, but also to express it as an important part of human-computer interaction. We currently teacher to think about this career, perhaps we can find a desirable place. The basic functions of the teacher in this profession is to have a certain knowledge transfer to students by way of language, and to provide students with troubleshooting. As can be seen, this requires not only the teachers themselves have a profound professional knowledge, but also their knowledge can be expressed.
For natural language processing technology, the important thing is not knowledge itself, but how to understand this knowledge, and express it out, rather than simply Baidu. Of course, it is possible to obtain the corresponding expression based on existing teaching examples, namely, although natural language technology can not understand, but we can try to imitate, through a lot of training, teaching best imitation of a teacher, which is also capable of achieve results.
voice control
If the first two applications and automation of contact is not very accurate, then, voice control technology will be able to highlight the close links between the natural language processing technology and automated.
The so-called voice control, voice control is via an automated system, in life, the simplest language voice control system should belong to the light. Of course, this relates to natural language processing technology less, but also voice control status lamp may not pass. More advanced that the machine through the recognition of human speech to control a certain part of an automated system, millet company produced little love students is such a system that will be able to control the phone itself through the human voice, or some extensions tools, such as some of the system can be controlled like home.
How to accept the voice, the physical signals into electrical signals, how to deal with technology into a control command to another system, and this is a big issue to consider automation technology, automation and control the language control is a very important extended from the existing products, the future, will voice control throughout the life of every corner.
Natural language processing techniques rely on automation
Not a natural language processing techniques described here will be able to bring what to automation, but what automation can bring to the natural language processing technology.
First, we can change that automation can greatly expand the natural language processing technology, with automation, natural language processing technology to be able to extend to the aspects of life, for example, in recent years the introduction of interactive robot language, is positive.
This technology will only be running on a computer, extending to the embedded field, this would greatly enriched the natural language processing technology.
Automated natural language processing technology to bring, not technological breakthroughs, but to improve and expand on the hardware, and thus indirectly influence the development of natural language processing technology, a technology can only remain in the laboratory stage is not a good technique, it can be giving back to society is a good technology, and automation, just to natural language processing techniques such an opportunity, so that it can extend into the community.
Epilogue
Automation and natural language processing technology, the two seemingly unrelated, in fact, just a combination of both can benefit the community, the benefit of mankind. Natural language processing techniques for bone, automation technology for its meat. Two complement each other, to achieve maximum potential.
Although now says natural language processing technology is far from mature as one would expect, automation technology did not meet the requirements, but the era of progress, science and technology is also progress, think in the near future, the combination of these two technologies will be able to reach the benefit of mankind!