人工智能自然语言处理_自然语言处理（NLP）| 人工智能

人工智能自然语言处理

Natural Language Processing (NLP) is one of the most successful applications of Artificial Intelligence in the real world. The Natural Language Processing in the terms of AI means that the Artificial Agents are able to able to understand the Language that the humans use and also, it can generate the same so that it is easily understandable by humans. In simple words, through the Natural Language Processing in Intelligent systems, the vision of making the computer to communicate with humans in the same manner as they communicate with each other was brought to reality.

自然语言处理(NLP)是人工智能在现实世界中最成功的应用之一。 AI的自然语言处理意味着人工代理能够理解人类使用的语言，并且能够生成相同的语言，从而使人类易于理解。简而言之，通过智能系统中的自然语言处理，实现了使计算机以与人类彼此交流相同的方式与人类交流的愿景变为现实。

As through NLP, the agent was able to imitate the human communication very well, and so it was a success for the developers as this was in the direction to make their agent (or system) act humanly. This was the reason behind the popularity and wide acceptance of it in the technical world. Today also, we are seeing that many companies are manufacturing their own devices which are capable of communicating with you in the same way as a human does.

就像通过NLP一样 ，该代理能够很好地模仿人类的交流，因此对于开发人员来说是成功的，因为这是使他们的代理(或系统)以人为行动的方向。这就是在技术领域中普及和广泛接受它的原因。今天，我们也看到许多公司正在制造自己的设备，这些设备能够以与人类相同的方式与您通信。

In the Natural Language Processing, there are two main components of the agent:

在自然语言处理中 ，代理有两个主要组成部分：

Natural Language Understanding
自然语言理解
Natural Language Generation
自然语言生成

1)自然语言理解 (1) Natural Language Understanding)

In Natural Language Understanding, as the name suggests. The agent has to understand the Language of the communicating user. It is important to understand it correctly as per the intention of the user, as if the agent understands something different than what is said, then this can lead to irrelevant communication between the user and the agent.

顾名思义，在《 自然语言理解》中 。代理必须了解通信用户的语言。根据用户的意图正确理解它很重要，就像座席了解的内容与所讲的内容有所不同，这可能导致用户与座席之间的通信不相关。

2)自然语言生成 (2) Natural Language Generation)

In the Natural Language Generation, the agent has to generate the data in the same form in which it is getting the input from the user. So, after processing and deriving the results, the agent should also convert it into a user understandable form, i.e. in the Natural Language of the user.

在自然语言生成中 ，代理必须以与从用户那里获取输入相同的形式生成数据。因此，在处理并得出结果之后，代理还应将其转换为用户可理解的形式，即以用户的自然语言。

The Natural Language Generation and the Natural Language understanding are the same as the components of the Communicating agent that we have discussed earlier, which are the Speaker and the Hearer. Therefore, the further components of these two are also the same for the NLP system.

自然语言的产生和自然语言的理解与我们之前讨论的交流代理的组成部分相同，即说者和听者。因此，对于NLP系统，这两个组件的其他组件也相同。