TY  - GEN
AB  - "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.
AU  - O'Donnell, Timothy J.,
CN  - P37.5.M46
ID  - 1412405
KW  - Psycholinguistics
KW  - Memory.
KW  - Language and languages.
KW  - Cognitive grammar.
KW  - Cognition.
KW  - Psycholinguistics.
KW  - Language acquisition.
KW  - COGNITIVE SCIENCES/General
KW  - LINGUISTICS & LANGUAGE/General
KW  - COGNITIVE SCIENCES/Psychology/Cognitive Psychology
LK  - https://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/9780262028844.001.0001?locatt=mode:legacy
LK  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
N2  - "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.
SN  - 9780262326803
SN  - 0262326809
SN  - 0262028840
SN  - 9780262028844
T1  - Productivity and reuse in language :a theory of linguistic computation and storage /
TI  - Productivity and reuse in language :a theory of linguistic computation and storage /
UR  - https://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/9780262028844.001.0001?locatt=mode:legacy
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -