Productivity and reuse in language : a theory of linguistic computation and storage / Timothy J. O'Donnell.

"Language allows us to express and comprehend an unbounded number of thoughts. This fundamental and much-celebrated property is made possible by a division of labor between a large inventory of stored items (e.g., affixes, words, idioms) and a computational system that productively combines the...

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Bibliographic Details
Main Author: O'Donnell, Timothy J., 1977- (Author)
Format: eBook
Language:English
Published: Cambridge, Massachusetts ; London, England : The MIT Press, [2015]
Subjects:
Online Access:Click for online access
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245 1 0 |a Productivity and reuse in language :  |b a theory of linguistic computation and storage /  |c Timothy J. O'Donnell. 
264 1 |a Cambridge, Massachusetts ;  |a London, England :  |b The MIT Press,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource (xii, 337 pages) :  |b illustrations 
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504 |a Includes bibliographical references (pages 313-331) and index. 
505 0 0 |t Introduction --  |t The framework --  |t Formalization of the models and Inference --  |t The english past tense: abstraction and Competition --  |t The english past tense: simulations --  |t English derivational morphology: Productivity, Processing, and Ordering --  |t English derivational morphology: Simulations --  |t Conclusion --  |t Past-tense inflectional classes --  |t Derivational suffixes. 
520 |a "Language allows us to express and comprehend an unbounded number of thoughts. This fundamental and much-celebrated property is made possible by a division of labor between a large inventory of stored items (e.g., affixes, words, idioms) and a computational system that productively combines these stored units on the fly to create a potentially unlimited array of new expressions. A language learner must discover a language's productive, reusable units and determine which computational processes can give rise to new expressions. But how does the learner differentiate between the reusable, generalizable units (for example, the affix -ness, as in coolness, orderliness, cheapness) and apparent units that do not actually generalize in practice (for example, -th, as in warmth but not coolth)? In this book, Timothy O'Donnell proposes a formal computational model, Fragment Grammars, to answer these questions. This model treats productivity and reuse as the target of inference in a probabilistic framework, asking how an optimal agent can make use of the distribution of forms in the linguistic input to learn the distribution of productive word-formation processes and reusable units in a given language"--MIT CogNet 
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650 0 |a Cognition. 
650 0 |a Psycholinguistics. 
650 0 |a Language acquisition. 
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650 7 |a Psycholinguistics  |2 fast 
650 7 |a Psycholinguistics  |x Mathematical models  |2 fast 
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