Natural Language Processing

Definition of Natural Language Processing as it relates to Science, Computer Science, Algorithms

Natural Language Processing, abbreviated as NLP, is a branch of Algorithms that deals with enabling computers to understand and process human language in a valuable way. It combines computational linguistics, artificial intelligence, and computer science to analyze, interpret, manipulate, and generate natural language data. NLP enables computers to comprehend the nuances of human language by analyzing grammar, semantics, syntax, and context. This technology is essential in many fields, including search engines, virtual assistants, machine translation systems, sentiment analysis tools, speech recognition software, and text-to-speech applications. In this hierarchy under Science/Computer Science/Algorithms, NLP fits perfectly as it applies algorithms to process natural language data using scientific methods. NLP's purpose is to bridge the gap between human languages and computational systems by implementing various algorithms that enable machines to understand and generate human language, making it a critical component of Computer Science and Algorithms.

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[Artificial Intelligence]

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  • [NaturalLanguageProcessing.com] Natural Language Processing - all about NLP | Consultancy In AI And Machine Learning
  • [CognitiveAI.org] Peter Jansen – natural language processing, cognitive artificial intelligence, and open source sensing
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  • [winlp.org] Widening Natural Language Processing – Promoting diversity in NLP
  • [spacy.io] spaCy Industrial-strength Natural Language Processing in Python
  • [Outthought.co] outThought – Conversational Commerce | Natural Language Processing | AI
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