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Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...
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 ...
Natural-language understanding. Natural-language understanding ( NLU) or natural-language interpretation ( NLI) [1] is a subset of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. [2]
In 1970, William A. Woods introduced the augmented transition network (ATN) to represent natural language input. [4] Instead of phrase structure rules ATNs used an equivalent set of finite-state automata that were called recursively. ATNs and their more general format called "generalized ATNs" continued to be used for a number of years.
Textual entailment. In natural language processing, textual entailment ( TE ), also known as natural language inference ( NLI ), is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text.
Natural-language processing can be described as all of the following: A field of science – systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe. [1] An applied science – field that applies human knowledge to build or design useful things.
Deep linguistic processing is a natural language processing framework which draws on theoretical and descriptive linguistics. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. CCG, HPSG, LFG, TAG, the Prague School ). Deep linguistic processing approaches differ from "shallower" methods in that they yield ...
Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions. In general, computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy ...
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