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computer linguistics and robotics.
PROFESSOR LARCKER says he thinks computer linguistics may also be useful for shareholders and analysts, helping them mitigate risk by analyzing executives' words.
This type of field delves into the realms of computer linguistics and abstraction.
Developments in software and hardware technologies as, e.g. in microelectronics, mechatronics, speech technology, computer linguistics, computer vision, and artificial intelligence are continuously driving new embedded applications for work, leisure, and mobility.
Promising recent advances in computer linguistics could be systematically explored to diagnose dynamic internal collaboration scripts during their use in a particular CSCL setting (e.g., Mu, Stegmann, Mayfield, Rosé, & Fischer, 2012; Rosé et al., 2008).
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The two most important AI/ML application domains that are relevant for crisis informatics are computational linguistics and computer vision, which we discuss below: Computational linguistics.
Computational linguistics, the study of computer-replicable rules and patterns in real-world language, began in earnest in the nineteen-fifties, originally in the service of Cold War intelligence: the United States wanted to use computers to mass-translate Russian texts into English.
A promising new way to solve problems of the statistical mechanics of biomolecules comes from computational linguistics, the field that uses computers to parse and understand the sentences in natural languages.
Computational linguistics (CL) is a field of computer science which seeks to understand and represent language in an interoperable set of semantics.
As a kid, Mercer was taken with computers, and in the 1980s he joined an IBM team that also included Brown, pioneering the field of computational linguistics, the foundation of speech recognition and computer translation.
By computational linguistics is meant no more than the use of electronic digital computers in linguistic research.
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