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Memory-Based Language Processing

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Cambridge University Press, Sep 1, 2005 - 189 pages
Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.
  

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Contents

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Page 2 - Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT), the Fund for Scientific Research-Flanders (FWO-Flanders), the Belgian Federal Science Policy Office (BFSPO), and the European Union.
Page 17 - If we insist on this distinction, we may say that any form which a speaker can utter without having heard it, is regular in its immediate constitution and embodies regular functions of its constituents, and any form which a speaker can utter only after he has heard it from other speakers, is irregular.
Page 30 - Gain of feature / is measured by computing the difference in uncertainty (ie entropy) between the situations without and with knowledge of the value of that feature...
Page 18 - science semiologique' is to push its foundations back to a 'science' which cannot be studied objectively, to a relation of 'signifying' (16-7) which requires something like teleology for its understanding. And correlations between the occurrence of one form and that of other forms yield the whole of linguistic structure. The fact that these correlations may be grouped into certain patterned regularities is of great interest for psychology; but to the pattern itself need not be attributed a metaphysical...
Page 17 - A theory derives its usefulness and validity from the aggregate of experience to which it must continually refer in renewal of connection. 'Under equal circumstances one will prefer that theory, which covers a larger field of phenomena, or which from some points of view appears to be simpler' — or as I should prefer — clearer.
Page 21 - NUMBER 11 probably corresponds to practice in many situations. For example, it is possible that much medical diagnosis is influenced by the doctor's recollection of the subsequent history of an earlier patient whose symptoms resemble in some way .s .0 A...
Page 17 - THE PROBLEM OF UNIVERSALS IN LANGUAGE* Charles F. Hockett Cornell University 1. Introduction A language universal is a feature or property shared by all languages, or by all language. The assertion of a (putative) language universal is a generalization about language. "The only useful generalizations about language are inductive generalizations" (Bloomfield, 1933, p. 20). This admonition is clearly important, in the sense that we do not want to invent language universals, but to discover them. How...
Page 16 - Any creation must be preceded by an unconscious comparison of the materials deposited in the storehouse of language, where productive forms are arranged according to their syntagmatic and associative relations.
Page 133 - ... extreme cases are, on the one hand, instances that have a nearest neighbor of a different class - ie they have no family members and are a family on their own - and on the other hand, instances that have as nearest neighbors all other instances of the same class. Thus families are class clusters, and the number and sizes of families in a data set reflect the disjunctivity of the data set - that is, the degree of scatteredness of classes into clusters.
Page 27 - Marcus et al., 1995) have argued that this task provides evidence for the dual route model for cognitive architectures. A dual route architecture supposes the existence of a cognitively real productive mental default rule, and an associative memory for irregular cases which blocks the application of the default rule. They argue that -s is the regular plural in German, as this is the suffix used in many conditions associated with regular inflection (eg, neologisms, surnames, acronyms, etc.).

References to this book

From other books

Higher Level Language Processes in the Brain: Inference And Comprehension ...
Data-oriented parsing
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From Google Scholar

TiMBL: Tilburg Memory-Based Learner
Walter Daelemans, Jakub Zavrel, Ko van der Sloot, Antal van den Bosch
TiMBL: Tilburg Memory-Based Learner
Walter Daelemans, Jakub Zavrel, Ko van der Sloot, Antal van den Bosch
Inductive Dependency Parsing
Joakim Nivre - Computational Linguistics
MaltParser: A language-independent system for data-driven ...
JOAKIM NIVRE, JOHAN HALL, JENS NILSSON, ATANAS CHANEV, GÜLSEN ERYIGIT, SANDRA KÜBLER, SVETOSLAV ... - 2007 - Natural Language Engineering
All Scholar search results »

References from web pages

Memory-Based Language Processing
Memory-Based Language Processing. Walter Daelemans and Antal van den Bosch ... depth introduction to Memory-Based Language Processing (MBLP) that shows for ...
www.mitpressjournals.org/ doi/ abs/ 10.1162/ coli.2006.32.4.559

Walter Daelemans and Antal van den Bosch, Memory-Based Language ...
Memory-Based Language Processing. Cambridge University Press, Cambridge, UK, 2005, vii+ 189 pp. Nicolas Stroppa. Published online: 16 November 2006 ...
www.springerlink.com/ index/ 1LN56P6N13W7V666.pdf

Genetic Algorithms for Feature Relevance Assignment in Memory ...
Memory-Based Language Processing. Anne Kool and Walter Daelemans and Jakub Zavrel*. CNTS - Language Technology Group. University of Antwerp, UIA, ...
www.aclweb.org/ anthology-new/ W/ W00/ W00-0720.pdf

Genetic Algorithms for Feature Relevance Assignment in Memory ...
Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing (Make Corrections) Anne Kool, Walter Daelemans, Jakub Zavrel ...
citeseer.ist.psu.edu/ 391404.html

PASCAL -
Memory-based language processing - a machine learning and problem ... This book discusses the theory and practice of memory-based language processing, ...
eprints.pascal-network.org/ archive/ 00001384/

Memory-based language processing
Book data. Walter Daelemans, Antal van den Bosch (2005) Memory-Based Language Processing Studies in Natural Language Processing · Cambridge University Press ...
ilk.uvt.nl/ mblp/

ingentaconnect Walter Daelemans and Antal van den Bosch, Memory ...
Walter Daelemans and Antal van den Bosch, Memory-Based Language Processing: Cambridge University Press, Cambridge, UK, 2005, vii + 189 pp ...
www.ingentaconnect.com/ content/ klu/ coat/ 2006/ 00000020/ 00000002/ 00009006;jsessionid=ppeodm8vb7cr.alexandra?format=print

A Comparison of Analogical Modeling of Language to Memory-based ...
@incollection\{Dae02a, author = "Daelemans, Walter", title = "A Comparison of Analogical Modeling of Language to Memory-based Language Processing. ...
www.cnts.ua.ac.be/ Publications/ 2002/ Dae02a/

Memory-Based Language Processing
Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct re-use of ...
assets.cambridge.org/ 052180/ 8901/ description/ 0521808901_description.htm

Citebase - Memory-Based Shallow Parsing
Memory-Based Language Processing. Introduction to the Special Issue. Journal of Experimental and Theoretical Artificial Intelligence (JETAI), 11(3):287-296, ...
www.citebase.org/ abstract?identifier=oai%3AarXiv.org%3Acs%2F0204049& action=citeshits& citeshits=cites

About the author (2005)

Walter Daelemans is Professor of Computational Linguistics and AI in the Department of Linguistics, University of Antwerp.

Antal van den Bosch is Assistant Professor in the Department of Computational Linguistics and AI, Tilburg University.