As you read this post, you are trying to understand the words and form some sort of comprehension out of them. When we ask a computer to perform these tasks, it is called Natural Language Processing (NLP).
NLP is a sub-field of Artificial Intelligence and Computational Linguistics that enables computers to understand, analyze, and generate human language, both text and speech. NLP comprises two main components: Natural Language Understanding(NLU) and Natural Language Generation(NLG).
Let’s say I want to add milk and butter to my shopping list. You and I understand what this means, but for a computer, this is unstructured text. An NLP program takes this unstructured text and converts it into a structured form, as shown below:
Natural Language Understanding (NLU) involves the process of converting unstructured data, such as text or speech, into structured data that computers can comprehend and analyze. On the other hand, Natural Language Generation (NLG) performs the opposite task. NLG takes structured data and generates coherent and human-like unstructured data, such as text or speech. It involves transforming structured information into natural language output that can be easily understood by humans. Both NLU and NLG are essential components of Natural Language Processing (NLP) and play vital roles in enabling effective communication between humans and computers.
Where is NLP used?
1. Virtual Assistants: NLP is used in voice-activated virtual assistants like Siri, Alexa, or Google Assistant, enabling them to understand spoken commands and respond appropriately.
2. Chatbots: NLP is used in chatbot to understand and respond to user queries or requests. It helps in intent recognition, entity extraction, and generating appropriate responses. There are several different types of chatbots: Customer Service chatbots, Sales chatbots, Marketing chatbots, and Educational chatbots.