MARC details
| 000 -LEADER |
| fixed length control field |
03808cam a22004098i 4500 |
| 001 - CONTROL NUMBER |
| control field |
22795988 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250222122357.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
220920s2023 flu b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2022031217 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781032066547 (hbk.) |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
JKRC |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
401.93 |
| Edition number |
23 |
| Item number |
LAP.S |
| 245 00 - TITLE STATEMENT |
| Title |
Algebraic structures in natural language / |
| Statement of responsibility, etc. |
ed by Shalom Lappin and Jean-Philippe Bernardy. |
| Medium |
English. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Boca Raton : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
2023. |
| 263 ## - PROJECTED PUBLICATION DATE |
| Projected publication date |
2212 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xviii, 290 p. |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"Algebraic Structures in Natural Language addresses a central problem in cognitive science, concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the of psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories, and other rule driven devices, and researchers drawing conclusions about how humans acquire and represent language. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply algebraic models of representation (although they can be combined with them), and success in NLP in particular has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction, and information theory, rather than on formal models of grammar induction. This work has also led some researchers to question the centrality of algebraic approaches to linguistic representation. This book addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties. It brings together leading researchers from computational linguistics, psychology, behavioural science, and mathematical linguistics to consider the significance of non-algebraic methods for the study of natural language, and represents a wide spectrum of views, from the claim that algebraic systems are largely irrelevant, to the contrary position that non-algebraic learning methods are engineering devices for efficiently identifying the patterns that underlying grammars and semantic models generate for natural language input. There are interesting and important perspectives that fall at intermediate points between these opposing approaches, and they may combine elements of both. It will appeal to researchers and advanced students in each of these fields, as well as to anyone who wants to learn more about the relationship between algorithms and language"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Language acquisition. |
| 9 (RLIN) |
31304 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Mathematical linguistics. |
| 9 (RLIN) |
31305 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Deep learning (Machine learning) |
| 9 (RLIN) |
31306 |
| 653 ## - INDEX TERM--UNCONTROLLED |
| Uncontrolled term |
Mathematical linguistics. |
| 653 ## - INDEX TERM--UNCONTROLLED |
| Uncontrolled term |
Language acquisition. |
| 653 ## - INDEX TERM--UNCONTROLLED |
| Uncontrolled term |
Deep learning (Machine learning) |
| 655 #7 - INDEX TERM--GENRE/FORM |
| Genre/form data or focus term |
Essays. |
| Source of term |
lcgft |
| 9 (RLIN) |
31307 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Lappin, Shalom. |
| Relator term |
editor. |
| 9 (RLIN) |
31308 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Bernardy, Jean-Philippe. |
| Relator term |
editor. |
| 9 (RLIN) |
31309 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
| Relationship information |
Online version: |
| Title |
Algebraic structures in natural language. |
| Edition |
First edition |
| Place, publisher, and date of publication |
Boca Raton : CRC Press, 2023 |
| International Standard Book Number |
9781003205388 |
| Record control number |
(DLC) 2022031218 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
| Edition |
23 |
| Suppress in OPAC |
No |