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LEADER 00000cam  2200685Li 4500 
001    47009246 
003    OCoLC 
005    20161209100108.6 
006    m     o  d         
007    cr cn||||||||| 
008    010430s1985    maua    ob    001 0 eng d 
019    608989758|a827012745|a957385703 
020    0585368910|q(electronic bk.) 
020    9780585368917|q(electronic bk.) 
020    0262268396|q(electronic bk.) 
020    9780262268394|q(electronic bk.) 
020    |z0262022265 
020    |z9780262022262 
035    (OCoLC)47009246|z(OCoLC)608989758|z(OCoLC)827012745
       |z(OCoLC)957385703 
040    N$T|beng|epn|erda|cN$T|dOCL|dOCLCQ|dYDXCP|dOCLCQ|dIEEEE
       |dOCLCF|dOCLCE|dOCLCO|dOCLCQ|dYDX|dHRM|dOCLCQ 
042    dlr 
049    MAIN 
050  4 Q335|b.B48 1985eb 
072  7 LAN|x009040|2bisacsh 
082 04 401.9|219 
100 1  Berwick, Robert C.|0http://id.loc.gov/authorities/names/
       n82133549 
245 14 The acquisition of syntactic knowledge /|cRobert C. 
       Berwick. 
264  1 Cambridge, Mass. :|bMIT Press,|c[1985] 
264  4 |c©1985 
300    1 online resource (xii, 368 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc|0http://rdaregistry.info/termList/
       RDAColourContent/1003 
347    text file|2rdaft|0http://rdaregistry.info/termList/
       fileType/1002 
490 1  The MIT Press series in artificial intelligence 
504    Includes bibliographical references (pages 343-353) and 
       index. 
505 0  pt. 1. The computer model. Computation and language 
       acquisition ; The acquisition model ; Learning phrase 
       structure ; Learning transformations -- pt. 2. A theory of
       acquisition. Acquisition complexity ; Learning theory: 
       applications ; Locality principles and acquisition. 
506    |3Use copy|fRestrictions unspecified|2star|5MiAaHDL 
520 3  "This landmark work in computational linguistics is of 
       great importance both theoretically and practically 
       because it shows that much of English grammar can be 
       learned by a simple program. The Acquisition of Syntactic 
       Knowledge investigates the central questions of human and 
       machine cognition: How do people learn language? How can 
       we get a machine to learn language? It first presents an 
       explicit computational model of language acquisition which
       can actually learn rules of English syntax given a 
       sequence of grammatical, but otherwise unprepared, 
       sentences. It shows that natural languages are designed to
       be easily learned and easily processed-an exciting 
       breakthrough from the point of view of artificial 
       intelligence and the design of expert systems because it 
       shows how extensive knowledge might be acquired 
       automatically, without outside intervention. 
       Computationally, the book demonstrates how constraints 
       that may be reasonably assumed to aid sentence processing 
       also aid language acquisition. Chapters in the book's 
       second part apply computational methods to the general 
       problem of developmental growth, particularly the thorny 
       problem of the interaction between innate genetic 
       endowment and environmental input, with the intent of 
       uncovering the constraints on the acquisition of syntactic
       knowledge. A number of "mini-theories" of learning are 
       incorporated in this study of syntax with results that 
       should appeal to a wide range of scholarly interests. 
       These include how lexical categories, phonological rule 
       systems, and phrase structure rules are learned; the role 
       of semantic-syntactic interaction in language acquisition;
       how a "parameter setting" model may be formalized as a 
       learning procedure; how multiple constraints (from syntax,
       thematic knowledge, or phrase structure) interact to aid 
       acquisition; how transformational-type rules may be 
       learned; and, the role of lexical ambiguity in language 
       acquisition. Robert Berwick is an assistant professor in 
       the Department of Electrical Engineering and Computer 
       Science at MIT. The Acquisition of Syntactic Knowledge is 
       sixteenth in the Artificial Intelligence Series, edited by
       Patrick Winston and Michael Brady." 
533    Electronic reproduction.|b[S.l.] :|cHathiTrust Digital 
       Library,|d2010.|5MiAaHDL 
538    Master and use copy. Digital master created according to 
       Benchmark for Faithful Digital Reproductions of Monographs
       and Serials, Version 1. Digital Library Federation, 
       December 2002.|uhttp://purl.oclc.org/DLF/benchrepro0212
       |5MiAaHDL 
583 1  digitized|c2010|hHathiTrust Digital Library|lcommitted to 
       preserve|2pda|5MiAaHDL 
583 1  digitized|c2010|hHathiTrust Digital Library|lcommitted to 
       preserve|2pda|5MiAaHDL 
588 0  Print version record. 
650  0 Artificial intelligence.|0http://id.loc.gov/authorities/
       subjects/sh85008180 
650  0 Computational linguistics.|0http://id.loc.gov/authorities/
       subjects/sh85077224 
650  0 Language acquisition.|0http://id.loc.gov/authorities/
       subjects/sh85074511 
650  0 Learning|xMathematical models.|0http://id.loc.gov/
       authorities/subjects/sh85075522 
653    Computational linguistics|aGrammatical aspects 
655  4 Electronic books. 
776 08 |iPrint version:|aBerwick, Robert C.|tAcquisition of 
       syntactic knowledge.|dCambridge, Mass. : MIT Press, ©1985
       |z0262022265|w(DLC)   85011460|w(OCoLC)12104043 
830  0 MIT Press series in artificial intelligence.|0http://
       id.loc.gov/authorities/names/n42016678 
956 40 |uhttp://proxy.opal-libraries.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=48982|zView online 
990    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America|c2016-12-09|yMaster record 
       variable field(s) change: 505 - Master record encoding 
       level change 
990    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America|c2016-09-02|yMaster record 
       variable field(s) change: 505, 650 
990    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America|c2016-04-08|yMaster record 
       variable field(s) change: 245 

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