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Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
CTAKES – open-source natural-language processing system for information extraction from electronic medical record clinical free-text. It processes clinical notes, identifying types of clinical named entities — drugs, diseases/disorders, signs/symptoms, anatomical sites and procedures.
In psycholinguistics, language processing refers to the way humans use words to communicate ideas and feelings, and how such communications are processed and understood. Language processing is considered to be a uniquely human ability that is not produced with the same grammatical understanding or systematicity in even human's closest primate ...
In neuroscience and psychology, the term language center refers collectively to the areas of the brain which serve a particular function for speech processing and production. [1] Language is a core system that gives humans the capacity to solve difficult problems and provides them with a unique type of social interaction . [ 2 ]
a natural language system working in restricted "blocks worlds" with restricted vocabularies, worked extremely well PARRY: 1972 Kenneth Colby: A chatterbot: KL-ONE: 1974 Sondheimer et al. a knowledge representation system in the tradition of semantic networks and frames; it is a frame language. MARGIE: 1975 Roger Schank: TaleSpin (software ...
Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program .
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. The largest and most capable LLMs are generative pretrained transformers (GPTs).
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.