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Computational and linguistics
Computational linguistics is an interdisciplinary field dealing with the statistical or rule-based modeling of natural language from a computational perspective.
Computational linguists often work as members of interdisciplinary teams, including linguists ( specifically trained in linguistics ), language experts ( persons with some level of ability in the languages relevant to a given project ), and computer scientists.
Computational linguistics has theoretical and applied components, where theoretical computational linguistics takes up issues in theoretical linguistics and cognitive science, and applied computational linguistics focuses on the practical outcome of modelling human language use.
Computational linguistics originated with efforts in the United States in the 1950s to use computers to automatically translate texts from foreign languages, particularly Russian scientific journals, into English.
Computational linguistics was born as the name of the new field of study devoted to developing algorithms and software for intelligently processing language data.
# REDIRECT Computational linguistics
** Computational linguistics
* Computational linguistics – study of linguistic issues in a way that is ' computationally responsible ', i. e., taking careful note of computational consideration of algorithmic specification and computational complexity, so that the linguistic theories devised can be shown to exhibit certain desirable computational properties implementations.
* Computational linguistics becomes feasible the late 80s
Computational lexicology as a related field ( in the same way that computational linguistics is related to linguistics ) deals with the computational study of dictionaries and their contents.
Category: Computational linguistics
Category: Computational linguistics researchers
Category: Computational linguistics
A landmark in modern corpus linguistics was the publication by Henry Kucera and W. Nelson Francis of Computational Analysis of Present-Day American English in 1967, a work based on the analysis of the Brown Corpus, a carefully compiled selection of current American English, totalling about a million words drawn from a wide variety of sources.
Category: Computational linguistics
* Computational linguistics
Category: Computational linguistics
Category: Computational linguistics
Category: Computational linguistics
Category: Computational linguistics

Computational and field
* Computational complexity theory, a field in theoretical computer science and mathematics
When the aims of computational language learning research is to understand more about human language acquisition, or psycholinguistics, NLL overlaps into the related field of Computational Psycholinguistics.
Computational biomodeling, a field concerned with building computer models of biological systems.
Computational genomics, a field within genomics which studies the genomes of cells and organisms.
Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling.
The NatHaz Modeling Laboratory at the University of Notre Dame is currently conducting an investigation of the flow field around the structure, modeling the tower and the immediate area surrounding it using Computational fluid dynamics ( CFD ).
* Computational learning theory, the mathematical field of machine learning algorithms
Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally, and semiotics proper.
Computational Linguistics is a peer-reviewed academic journal in the field of computational linguistics.
Before joining the Department of Computer Sciences as the chair, he formed a company, Computational Logic Inc., along with others including his close friend at the University of Texas at Austin and one of the highly regarded professors in the field of Automated Reasoning, Robert S. Boyer.
:" Computational epistemology is an interdisciplinary field that concerns itself with the relationships and constraints between reality, measure, data, information, knowledge, and wisdom " ( Rugai, 2011 )
BAS candidates select a field of specialization in either Biomedical Science, Computer & Cognitive Science, Computer Science, Computational Biology, or an individualized curriculum ( through the Department of Electrical & Systems Engineering ).
Computational epidemiology is a multidisciplinary field utilizing techniques from computer science, mathematics, geographic information science and public health to develop tools and models to aid epidemiologists in their study of the spread of diseases.

Computational and artificial
* Computational semiotics attempts to engineer the process of semiosis, say in the study of and design for Human-Computer Interaction or to mimic aspects of human cognition through artificial intelligence and knowledge representation.
Computational archaeology is also known as archaeological informatics ( Burenhult 2002, Huggett and Ross 2004 ) or archaeoinformatics ( sometimes abbreviated as " AI ", but not to be confused with artificial intelligence ).
These sciences include psychology and cognitive science, cellular automata, generative linguistics, natural language processing, connectionism, self-organization, evolutionary biology, neural network, social network, neuromusicology, Quantum cellular automata, information theory, systems theory, genetic algorithms, Computational sociology, Communication networks, artificial life, chaos theory, complexity theory, Network science, epistemology, Quantum dot cellular automaton, Quantum computer, systems thinking, genetics, philosophy of science, Quantum mechanics, cybernetics, Digital Physics, Digital Philosophy, bioinformatics, agent based modeling and catastrophe theory.

Computational and intelligence
Computational modeling uses simulations to study how human intelligence may be structured.
* Computational intelligence
* Computational intelligence
* Encyclopedia of Computational Neuroscience, part of Scholarpedia, an online expert curated encyclopedia on computational neuroscience, dynamical systems and machine intelligence
), Computational intelligence: Theory and Applications ( pp. 526-535 ).
* Computational intelligence
* Computational intelligence
Computational cybernetics is the integration of cybernetics and computational intelligence techniques.
Computational intelligence ( CI ) is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which traditional approaches, i. e., first principles modeling or explicit statistical modeling, are ineffective or infeasible.
* Computational intelligence

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