The Natural Language Processing field exists as an artificial intelligence domain which enables computers to comprehend human language through its two functions, understanding and generating language. Machines can operate with text and speech through NLP because it enables them to work with these forms of communication in a manner that matches human understanding. The system uses computer science together with linguistics and machine learning to process language and uncover its hidden meanings. The technology powers all common tools which include chatbots, translation applications, voice assistants, and search engines through its ability to process natural language user inquiries and speech.
NLP
NLP exists to create a connection between human language communication and computer systems which handle information. The use of NLP technologies enables systems to achieve language pattern detection and entity recognition and sentiment analysis and contextually appropriate response generation. NLP includes multiple processes which start with tokenization and proceed through parsing and semantic analysis to enable computers to understand language better. The development of better machine learning models leads to stronger NLP capabilities which businesses now use to improve customer service and conduct data analysis and automate content processing tasks.
working of NLP
Sources:
https://www.deeplearning.ai/resources/natural-language-processing
https://www.geeksforgeeks.org/nlp/introduction-to-natural-language-processing-nlp
https://toolmyai.com/natural-language-processingnlp-in-2024/
https://mlarchive.com/data-science/the-ultimate-guide-to-natural-language-processing-nlp/