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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.
A predecessor concept was used in creating some concordances.For example, the first Hebrew concordance, Isaac Nathan ben Kalonymus's Me’ir Nativ, contained a one-page list of unindexed words, with nonsubstantive prepositions and conjunctions which are similar to modern stop words.
NLP commonly refers to: Natural language processing , a field of computer science and linguistics Neuro-linguistic programming , a pseudoscientific method aimed at modifying human behavior
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. Natural language programming is not to be mixed up with ...
L. Language Computer Corporation; Language engineering; Language identification; Language resource; Language technology; LanguageWare; Large language model
The free conference, which attracted over 10,000 attendees last year, is the world’s largest gathering of the applied Generative AI and natural language processing (NLP) community. Despite being a landmark year for Generative AI, few are capitalizing on its promised business value.
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.