000 02413 a2200289 4500
001 1317266307
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008 250312042016GB eng
020 _a9781317266303
037 _bTaylor & Francis
_cGBP 43.99
_fBB
040 _a01
041 _aeng
072 7 _aJMR
_2thema
072 7 _aCFD
_2thema
072 7 _aJMR
_2bic
072 7 _aCFD
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072 7 _aPSY000000
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072 7 _aPSY008000
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072 7 _a006.35
_2bisac
100 1 _aR G Reilly
245 1 0 _aConnectionist Approaches to Natural Language Processing
250 _a1
260 _aOxford
_bRoutledge
_c20160722
300 _a488 p
520 _bOriginally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely assessment of the state of the art in the field. It includes contributions from some of the best known researchers in CNLP and covers a wide range of topics. The book comprises four main sections dealing with connectionist approaches to semantics, syntax, the debate on representational adequacy, and connectionist models of psycholinguistic processes. The semantics and syntax sections deal with a variety of approaches to issues in these traditional linguistic domains, covering the spectrum from pure connectionist approaches to hybrid models employing a mixture of connectionist and classical AI techniques. The debate on the fundamental suitability of connectionist architectures for dealing with natural language processing is the focus of the section on representational adequacy. The chapters in this section represent a range of positions on the issue, from the view that connectionist models are intrinsically unsuitable for all but the associationistic aspects of natural language, to the other extreme which holds that the classical conception of representation can be dispensed with altogether. The final section of the book focuses on the application of connectionist models to the study of psycholinguistic processes. This section is perhaps the most varied, covering topics from speech perception and speech production, to attentional deficits in reading. An introduction is provided at the beginning of each section which highlights the main issues relating to the section topic and puts the constituent chapters into a wider context.
700 1 _aNoel Sharkey
_4B01
999 _c4206
_d4206