Natural Language Processing (NLP) has multiple commercial uses.

Speech recognition: in scenarios such as intelligent voice assistants, smart speakers, and smart home control, speech recognition technology can help users interact with devices by voice.

Speech synthesis: it can be used in scenarios such as voice assistants, smart homes, car navigation systems, etc., to help users control and understand information by voice.

Natural language understanding: it can be used in Q&A systems, intelligent customer service, search engines, smart homes and other scenarios to help users understand natural language contexts and automatically extract information.

Machine translation: widely used in mobile applications, websites and cross-border e-commerce to help users translate text and speech and improve the efficiency of multilingual communication.

Text categorization and sentiment analysis: can be used in scenarios such as news aggregation, social media monitoring, customer feedback analysis, etc., to help companies understand customers' needs and emotions and improve customer experience.

In short, natural language processing technology has a wide range of applications in the business field, including speech recognition, speech synthesis, natural language understanding, machine translation, text categorization and sentiment analysis, etc. It can help users better understand and use natural language, and help enterprises better understand customer needs and emotions and improve customer experience.