1. Speech recognition: Speech recognition is one of the important applications of NLP, which allows computers to convert human speech into text. For example, when you have a conversation with a voice assistant on your smartphone, it uses speech recognition technology to convert what you say into text.
2. Machine translation: Machine translation is a technology that translates one language into another language. For example, Google Translate uses machine translation technology.
3. Natural Language Generation (NLG): Natural language generation is a technology that converts computer-generated data into natural language. For example, when you use an email proxy to send an email to a customer, the system uses NLG technology to build the email content.
4. Text classification: Text classification is a technique that sorts text into different categories, for example, classifying an article as sports news, political news, or entertainment news, etc.
5. Sentiment Analysis: Sentiment analysis is a technology that uses natural language processing technology to automatically detect emotions in text. For example, when analyzing a product review, sentiment analysis technology can automatically identify whether the review is positive or negative.
6. Question and answer system: A question and answer system is a system that uses natural language as input to automatically answer questions. For example, both Siri and Alexa use question and answer system technology.