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Natural language processing

Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely associated with artificial intelligence. NLP is also related to information retrieval, knowledge representation, computational linguistics, and linguistics more broadly.

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Overview

History

Statistical approach

Neural networks

Common NLP tasks

General tendencies and (possible) future directions

Advanced semantic analysis

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Map overview Semantic statistics

Natural language processing

Nodes185
Edges184
Triples129
Avg. degree1.99
Density0.010811
Components1

How this topic connects Entity context

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Natural language processing

Top relations

related to Symbolic NLP (1950s – early 1990s) · 49
Natural language processing → ALPAC, America, An, Carbonell, Centering Theory, Chinese, Cullingford, Despite, During, ELIZA, English, Europe, Examples, Focus, Given, However, HPSG, Jabberwacky, Japan, John Searle's Chinese
related to Statistical NLP (1990s–present) · 34
Natural language processing → An IBM, Bengio, Brno University, Brown, Canada, Chomskyan, English, Frederick Jelinek, French, Generally, However, IBM, IBM Research, In, Machine Translation, Many, Moore's, NLP, Parliament, Peter
related to history · 7
Natural language processing → Alan Turing, Already, Computing Machinery, Intelligence, Natural, The, Turing
related to External links · 4
Natural language processing → Media, Natural, Wikimedia Commons, Wiktionary-logo-en-v2
see also · 4
Natural language processing → Communication TechnologiesLanguage, RoadArtificial, Speech, TruecasingQuestion
related to Common NLP tasks · 3
Natural language processing → Some, The, Though

Important terminology Word statistics

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Important terminology

language nlp natural processing statistical tasks machine cognitive systems rule-based information neural approach linguistics data translation methods learning symbolic approaches

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
provided by the Apertium systeminstance offor the machine translation of low-resource languages0.80text
for preprocessing in NLP pipelinesinstance offor the machine translation of low-resource languages0.80text
e.g.instance offor the machine translation of low-resource languages0.80text
tokenizationinstance offor the machine translation of low-resource languages0.80text
orfor post-processinginstance offor the machine translation of low-resource languages0.80text
transforming the output of NLP pipelinesinstance offor the machine translation of low-resource languages0.80text
for knowledge extraction from syntactic parses.Statistical approachIn the late 1980sinstance offor the machine translation of low-resource languages0.80text
mid-1990sinstance offor the machine translation of low-resource languages0.80text
the statistical approach ended a period of AI winterinstance offor the machine translation of low-resource languages0.80text
which was caused by the inefficiencies of the rule-based approaches.The earliest decision treesinstance offor the machine translation of low-resource languages0.80text
producing systems of hard ifinstance offor the machine translation of low-resource languages0.80text
Turkish or Meiteiinstance ofIn languages0.80text

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