Communicating with Natural Language Processing
How do you talk when you travel abroad? Or how do you find out unfamiliar words when you don't understand them of another country? Actually, we use automatic translators every time like these. Automatic translators and voice recognition programs are a very important part of our lives now. However, most of people would not explain the process if asked how this technique is derived. How is this technology made?
Artificial intelligence (AI) is a technology that realizes human learning ability, reasoning ability, perception ability, and understanding of natural language through computer programs. AI correlates with many direct and indirect links to other areas of computer science. In particular, in modern times, attempts are being made to introduce and develop AI elements in various fields of information technology. There are many kinds of artificial intelligence. Among them, the field of processing by recognizing and processing the language that humans usually use is called 'natural language processing'. Further research in this field will allow people to communicate with computers and exchange information, which will lead to innovative changes in computer use. Probably Most people are new to this. And understanding this process in a developing society is definitely a problem. What is the natural language processing?
Components of natural language processing include morphological analysis, parsing, semantic analysis, discourse integration, and practical analysis. First, vocabulary can be analyzed through morphological analysis. You can think of each word in a unit that is no longer decomposable in Korean language. Next, it can be parsed based on rules or using machine learning. Each phrase is a rule that controls the structure of a sentence, such as a subject or a predicate. After that, in semantic analysis, the meaning of the sentence is understood by looking at the results of previous morphological analysis and syntactic analysis. In this process, we can figure out how words are connected to each other. Finally, Discourse Integration is to consider the meaning of the following sentence to consider the context. For this, information such as the goal of the conversation, the focus of the conversation, and the rules of the conversation should be included. As such, Pragmatical Analysis deals with the impact of interpreting social content along with overall communication. At this stage, AI can reach a level that allows conversation with humans like automatic translators we use today.
Through these steps we are able to use AI language technology. It’s more interesting steps than you think, right? It can only be derived after analyzing and interpreting various parts of language. So far, we can find the limitations of AI translators. On the day of analyzing all human language rules, it is expected that perfect artificial intelligence will come out that goes beyond the limits of the machine. The development of natural language processing technology has made our lives much more convenient. More advanced AI technology can solve the remaining inconveniences of our lives, and eventually we will see a better world than we do now.