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![](data:image/png;base64,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) 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Voice Assistants: Systems like Siri, Alexa, and Google Assistant rely on NLP to understand and respond to user commands, providing a seamless interactive experience -
Customer Support: Chatbots help in handling customer inquiries, providing quick and accurate responses. -
Chatbots: Automated customer service agents use NLP to understand and respond to customer inquiries, improving efficiency and customer satisfaction. -
Translation Services: Tools like Google Translate break down language barriers by translating text and speech in real-time. -
Named Entity Recognition (NER): Spotting names of people, places, organizations, etc., in text. Think of tagging names in news articles. -
Text Summarization: Condensing long texts into shorter summaries, handy for quickly understanding articles or reports. -
Question Answering Systems: Systems that can understand and answer questions in natural language, like chatbots or virtual assistants. -
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Letzte Änderung: 03.06.2024
© Pädagogisches Institut für die deutsche Sprachgruppe
- Bozen. 2000 -
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