For the past forty years, linguistics has been dominated by the idea that language is categorical and linguistic competence discrete. It has become increasingly clear, however, that many levels of representation, from phonemes to sentence structure, show probabilistic properties, as does the language faculty. Probabilistic linguistics conceptualizes categories as distributions and views knowledge of language not as a minimal set of categorical constraints but as a set of gradient rules that may be characterized by a statistical distribution. Whereas categorical approaches focus on the endpoints of distributions of linguistic phenomena, probabilistic approaches focus on the gradient middle ground. Probabilistic linguistics integrates all the progress made by linguistics thus far with a probabilistic perspective. This book presents a comprehensive introduction to probabilistic approaches to linguistic inquiry. It covers the application of probabilistic techniques to phonology, morphology, semantics, syntax, language acquisition, psycholinguistics, historical linguistics, and sociolinguistics. It also includes a tutorial on elementary probability theory and probabilistic grammars.
Fifty of the world's most distinguished scholars subject the analytic frameworks of contemporary linguistics to the same set of principled questions, showing which models best explain particular phenomena and offering a unique overview of ...
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The book is of interest to graduate students and researchers in variationist sociolinguistics, probabilistic linguistics, psycholinguistics, and computational linguistics.
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The Handbook of English Linguistics. Oxford: Blackwell, 318− 342. ... Discourse Description: diverse linguistic analyses of a fund-raising text. Amsterdam: Benjamins, 39–78. ... Probabilistic Linguistics. Cambridge, MA: MIT Press, ...
In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine.