Natural Language Processing is a system that allows computers or Artificial Intelligence to understand human language in a written or spoken format. Compared to other AI technologies, NLP’s basics have existed for years. This system creates a communication environment that is very similar to a “natural” human conversation environment. With the ability of NLP systems, AI understands and responds to text or voice data and responds with text or speech of its own.
NLP is achieved by combination of computational linguistics, rule-based modeling of human language with statistical, machine learning, and deep learning models. With this work model, NLP based programs now can translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly.
This outstanding technology which makes our interaction with computers way more simple is used in almost every single application from our daily lives. For example, GPS systems, digital assistants, dictation, chatbots, and other consumer conveniences. However, NLP is increasingly being used in corporate solutions to help businesses streamline operations, boost employee productivity, and simplify mission-critical business processes.
Some examples of systems that are based on NLP
- Speech Recognition
- Word sense disambiguation
- Co-reference resolution
- Named entity recognition (NEM)
- Sentiment analysis
- Natural language generation