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| LEADER |
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| 007 |
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| 008 |
150914t20152015maua ob 001 0 eng d |
| 005 |
20221121162720.3 |
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|a (MaCbMITP)10008
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| 040 |
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|a OCoLC-P
|b eng
|e rda
|e pn
|c OCoLC-P
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| 020 |
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|a 9780262326803
|q (electronic bk.)
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| 020 |
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|a 0262326809
|q (electronic bk.)
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| 020 |
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|a 0262028840
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| 020 |
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|a 9780262028844
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| 035 |
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|a (OCoLC)921143252
|z (OCoLC)990531596
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| 035 |
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|a (OCoLC-P)921143252
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| 050 |
|
4 |
|a P37.5.M46
|b O36 2015eb
|
| 072 |
|
7 |
|a LAN
|x 009010
|2 bisacsh
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| 072 |
|
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|a SCI090000
|2 bisacsh
|
| 072 |
|
7 |
|a LAN009000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 410.1/51
|2 23
|
| 100 |
1 |
|
|a O'Donnell, Timothy J.,
|d 1977-
|e author.
|
| 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
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| 300 |
|
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|a 1 online resource (xii, 337 pages) :
|b illustrations
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 520 |
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|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.
|
| 588 |
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|a OCLC-licensed vendor bibliographic record.
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| 650 |
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0 |
|a Psycholinguistics
|x Mathematical models.
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| 650 |
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0 |
|a Memory.
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| 650 |
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0 |
|a Language and languages.
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| 650 |
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|a Cognitive grammar.
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| 650 |
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0 |
|a Cognition.
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| 650 |
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0 |
|a Psycholinguistics.
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| 650 |
|
0 |
|a Language acquisition.
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| 653 |
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|a COGNITIVE SCIENCES/General
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| 653 |
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|a LINGUISTICS & LANGUAGE/General
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| 653 |
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|a COGNITIVE SCIENCES/Psychology/Cognitive Psychology
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| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://doi.org/10.7551/mitpress/9780262028844.001.0001?locatt=mode:legacy
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a MIT D2O ebooks
|
| 999 |
f |
f |
|s 90063f11-1068-4efa-ab52-ad20e5721862
|i 481c9283-3605-4fc0-9b50-c657d68ccf5c
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e P37.5.M46 O36 2015eb
|h Library of Congress classification
|
| 998 |
f |
f |
|a P37.5.M46 O36 2015eb
|t 0
|l Available Online
|