NLP Technology
An NLP Technology is an AI technology that enables the processing and understanding of human language by computers.
- Context:
- It can (often) employ Machine Learning Technologies.
- It can range from being a Basic NLP Technology for simple text processing to being an advanced Complex NLP Technology capable of human-like interactions.
- It can be integrated into NLP-Using Applications, including Chatbots, Virtual Assistants, and Language Translation Services.
- It can leverage Corpus Data for training and evaluation purposes.
- It can be referenced by NLP Talent Measures.
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- Example(s):
- NLP Algorithms, procedures for processing and analyzing natural language data.
- NLP Tasks, activities and operations that NLP systems are designed to perform, such as text classification, sentiment analysis, and machine translation.
- NLP Systems, such as NLP Libraries (like NLTK, spaCy, and BERT).
- NLP-Supported Applications, such as:
- Text Classification Technology (text classification), such as: spam mail classification.
- Sentiment Analysis Technology (sentiment analysis), such as: social media sentiment analysis.
- Machine Translation Technology (machine translation), such as: Google Translate.
- Speech Recognition Technology (speech recognition), such as: voice-to-text transcription.
- Chatbot Technology (chatbots), such as: Siri and Alexa.
- Text Summarization Technology (text summarization), such as: automatic article summarization.
- Named Entity Recognition Technology (named entity recognition), such as: proper noun identification.
- Question Answering Technology (automated question answering), such as: knowledge base query systems.
- Language Generation Technology (automated language generation), such as: GPT-3.
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- Counter-Example(s):
- See: AI Technology, Machine Learning, Deep Learning, Speech Processing, Computational Linguistics, Human-Computer Interaction.