Related:
Algorithm,
Anthropological linguistics,
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Applied linguistics,
Arithmetic,
Artificial intelligence,
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Automata theory,
Cognitive linguistics,
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Computational semiotics,
Computer-assisted reviewing,
Computer science,
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Context-sensitive grammar,
Corpus linguistics,
Descriptive linguistics,
Dialog systems,
Etymology,
Forensic linguistics,
Generative linguistics,
Grammar,
Grammar induction,
Historical linguistics,
History of linguistics,
Human speechome project,
Interdisciplinary,
Language,
Language acquisition,
Language assessment,
Language development,
Language education,
Lexicon,
Lexis (linguistics),
Linear bounded automaton,
Linguistic anthropology,
Linguistic meaning,
Linguistic prescription,
Linguistics,
List of linguists,
Logic,
Machine translation,
Math,
Morphology (linguistics),
National Centre for Text Mining,
Natural language,
Natural language processing,
Neurolinguistics,
Neuroscience,
North American Computational Linguistics Olympiad,
Parser,
Part-of-speech tagging,
Phonetics,
Phonology,
Phrase chunking,
Pragmatics,
Psycholinguistics,
Russian language,
Semantic relatedness,
Semantics,
Sociolinguistics,
Software,
Speech recognition,
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Statistics,
Stylistics (linguistics),
Syntax,
Theoretical linguistics,
Translation memory,
Turing machine,
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Cognitive linguistics · Generative linguistics
Phonology · Morphology · Syntax
Lexis · Semantics · Pragmatics
In mathematics, computing, and related subjects, an algorithm is an effective method for solving a problem using a finite sequence of instructions. Algorithms are used for calculation, data processing, and many other fields.
Applied linguistics is an interdisciplinary field of study that identifies, investigates, and offers solutions to language-related real-life problems. Some of the academic fields related to applied linguistics are education, linguistics, psychology, anthropology, and sociology.
Arithmetic or arithmetics (from the Greek word αριθμός = number) is the oldest and most elementary branch of mathematics, used by almost everyone, for tasks ranging from simple day-to-day counting to advanced science and business calculations. It involves the study of quantity, especially as the result of combining numbers. In common usage, it refers to the simpler properties when using the traditional operations of addition, subtraction, multiplication and division with smaller values of numbers. Professional mathematicians sometimes use the term (higher) arithmetic[1] when referring to more advanced results related to number theory, but this should not be confused with elementary arithmetic.Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. Textbooks define the field as "the study and design of intelligent agents,"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] defines it as "the science and engineering of making intelligent machines."[4]
The Association for Computational Linguistics (ACL) is the international scientific and professional society for people working on problems involving natural language and computation. An annual meeting is held each summer in locations where significant computational linguistics research is carried out. It was founded in 1962, originally named the Association for Machine Translation and Computational Linguistics (AMTCL). It became the ACL in 1968.In theoretical computer science, automata theory is the study of abstract machines and problems which they are able to solve. Automata theory is closely related to formal language theory as the automata are often classified by the class of formal languages they are able to recognize.Cognitive science is usually defined as the interdisciplinary study of how information is represented and transformed in the mind/brain. It consists of multiple research disciplines, including psychology, artificial intelligence, philosophy, neuroscience, linguistics, anthropology, sociology, and education.[1] It spans many levels of analysis, from low-level learning and decision mechanisms to high-level logic and planning; from neural circuitry to modular brain organization. The term cognitive science was coined by Christopher Longuet-Higgins in his 1973 commentary on the Lighthill report, which concerned the then-current state of Artificial Intelligence research.[2] In the same decade, the journal Cognitive Science and the Cognitive Science Society were founded.[3]