03903nam 2200733 450 991046172230332120200520144314.00-262-32681-70-262-32680-9(CKB)3710000000473163(EBL)4093098(SSID)ssj0001552362(PQKBManifestationID)16171417(PQKBTitleCode)TC0001552362(PQKBWorkID)12727616(PQKB)10460272(StDuBDS)EDZ0001375567(MiAaPQ)EBC4093098(OCoLC)921143252(MdBmJHUP)muse49203(OCoLC)921143252(OCoLC)990531596(OCoLC-P)921143252(MaCbMITP)10008(Au-PeEL)EBL4093098(CaPaEBR)ebr11119530(CaONFJC)MIL829506(EXLCZ)99371000000047316320151201h20152015 uy 0engur|n|---|||||txtccrProductivity and reuse in language a theory of linguistic computation and storage /Timothy J. O'DonnellCambridge, Massachusetts ;London, England :The MIT Press,2015.©20151 online resource (350 p.)Description based upon print version of record.0-262-02884-0 Includes bibliographical references and index.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"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.PsycholinguisticsMathematical modelsMemoryLanguage and languagesCognitive grammarRecognitionPsycholinguisticsElectronic books.PsycholinguisticsMathematical models.Memory.Language and languages.Cognitive grammar.Recognition.Psycholinguistics.410.1/51O'Donnell Timothy J.1977-1057188MiAaPQMiAaPQMiAaPQBOOK9910461722303321Productivity and reuse in language2492188UNINA