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[null,"1.","Record Nr.",null,"UNINA9910461722303321"]
[null,null,"Autore",null,"O'Donnell Timothy J. <1977->"]
[null,null,"Titolo",null,"Productivity and reuse in language : a theory of linguistic computation and storage / / Timothy J. O'Donnell"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"0-262-32681-7"]
[{"$nulls":4},"0-262-32680-9"]
[null,null,"Descrizione fisica",null,"1 online resource (350 p.)"]
[null,null,"Disciplina",null,"410.1/51"]
[null,null,"Soggetti",null,"Psycholinguistics - Mathematical models"]
[{"$nulls":4},"Memory"]
[{"$nulls":4},"Language and languages"]
[{"$nulls":4},"Cognitive grammar"]
[{"$nulls":4},"Recognition"]
[{"$nulls":4},"Psycholinguistics"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Contents; Preface; Acknowledgments; I MODEL BACKGROUND AND DEVELOPMENT; 1 Introduction; 2 The Framework; 3 Formalization of the Models and Inference; II EMPIRICAL APPLICATIONS; 4 The English Past Tense: Abstraction and Competition; 5 The English Past Tense: Simulations; 6 English Derivational Morphology: Productivity, Processing, and Ordering; 7 English Derivational Morphology: Simulations; 8 Conclusion; A Past-Tense Inflectional Classes; B Derivational Suffixes; Bibliography; Index"]
[null,null,null,"Sommario/riassunto","\"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 "]
[{"$nulls":4},"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."]