So computational linguistics is very important. Computational linguistics is the scientific and engineering discipline concerned with understanding written and spoken language from a computational perspective, and building artifacts that usefully process and produce language, either in bulk or in a dialogue setting. To the extent that language is a mirror of mind, a computational understanding of language also provides insight into thinking and intelligence. And since language is our most natural and most versatile means of communication, linguistically competent computers would greatly facilitate our interaction with machines and software of all sorts, and put at our fingertips, in ways that truly meet our needs, the vast textual and other resources of the internet. The following article outlines the goals and methods of computational linguistics in historical perspective , and then delves in some detail into the essential concepts of linguistic structure and analysis section 2 , interpretation sections 3—5 , and language use sections 6—7 , as well as acquisition of knowledge for language section 8 , statistical and machine learning techniques in natural language processing section 9 , and miscellaneous applications section The theoretical goals of computational linguistics include the formulation of grammatical and semantic frameworks for characterizing languages in ways enabling computationally tractable implementations of syntactic and semantic analysis; the discovery of processing techniques and learning principles that exploit both the structural and distributional statistical properties of language; and the development of cognitively and neuroscientifically plausible computational models of how language processing and learning might occur in the brain.
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Metrics details. This study was conducted on students using online learning platforms in higher education. This research utilized a quantitative research method.