A computational model for the item-based induction of construction networks

Gaspers J, Cimiano P (2014)
Cognitive Science 38(3): 439-488.

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Abstract / Bemerkung
According to usage-based approaches to language acquisition, linguistic knowledge is represented in the form of constructions – form-meaning pairings – at multiple levels of abstraction and complexity. The emergence of syntactic knowledge is assumed to be a result of the gradual abstraction of lexically-specific and item-based linguistic knowledge. In this article, we explore how the gradual emergence of a network consisting of constructions at varying degrees of complexity can be modeled computationally. Linguistic knowledge is learned by observing natural language utterances in an ambiguous context. In order to determine meanings of constructions starting from ambiguous contexts we rely on the principle of cross-situational learning. While this mechanism has been implemented in several computational models, these models typically focus on learning mappings between words and referents. In contrast, in our model we show how cross-situational learning can be applied consistently to learn correspondences between form and meaning beyond such simple correspondences.
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Cognitive Science
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38
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3
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439-488
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Gaspers J, Cimiano P. A computational model for the item-based induction of construction networks. Cognitive Science. 2014;38(3):439-488.
Gaspers, J., & Cimiano, P. (2014). A computational model for the item-based induction of construction networks. Cognitive Science, 38(3), 439-488. doi:10.1111/cogs.12114
Gaspers, J., and Cimiano, P. (2014). A computational model for the item-based induction of construction networks. Cognitive Science 38, 439-488.
Gaspers, J., & Cimiano, P., 2014. A computational model for the item-based induction of construction networks. Cognitive Science, 38(3), p 439-488.
J. Gaspers and P. Cimiano, “A computational model for the item-based induction of construction networks”, Cognitive Science, vol. 38, 2014, pp. 439-488.
Gaspers, J., Cimiano, P.: A computational model for the item-based induction of construction networks. Cognitive Science. 38, 439-488 (2014).
Gaspers, Judith, and Cimiano, Philipp. “A computational model for the item-based induction of construction networks”. Cognitive Science 38.3 (2014): 439-488.
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70 References

Daten bereitgestellt von Europe PubMed Central.

A computational model of early argument structure acquisition.
Alishahi A, Stevenson S., Cogn Sci 32(5), 2008
PMID: 21635354

Alishahi, 2008

Aslin, 1999
Modeling children's early grammatical knowledge.
Bannard C, Lieven E, Tomasello M., Proc. Natl. Acad. Sci. U.S.A. 106(41), 2009
PMID: 19805057
Usage-based and emergentist approaches to language acquisition
Behrens, Linguistics 47(2), 2009

Bloom, 2000

Börschinger, 2011
Regular morphology and the lexicon
Bybee, Language and Cognitive Processes 10(5), 1995
The effect of usage on degrees of constituency: The reduction of don't in english
Bybee, Linguistics 37(4), 1999
Acquiring a single new word
Carey, Papers and Reports on Child Language Development 15(), 1978

Chang, 2001

Chen, 2008
Training a multilingual sportscaster: Using perceptual context to learn language
Chen, Journal of Artificial Intelligence Research 37(1), 2010

Chomsky, 1965

Clark, 1993
Learning to talk about events from narrated video in a construction grammar framework
Dominey, Artificial Intelligence 167(1-2), 2005
Generative approaches to language learning
Eisenbeiß, Linguistics 42(2), 2009
Finding structure in time
Elman, Cognitive Science 14(2), 1990
A probabilistic computational model of cross-situational word learning.
Fazly A, Alishahi A, Stevenson S., Cogn Sci 34(6), 2010
PMID: 21564243

Fleischman, 2005

Frank, 2007

Gaspers, 2012

Gaspers, 2011
The structural sources of verb meaning
Gleitman, Language Acquisition 1(1), 1990
Constructions: a new theoretical approach to language.
Goldberg AE., Trends Cogn. Sci. (Regul. Ed.) 7(5), 2003
PMID: 12757824
Construction grammar
Goldberg, Wiley Interdisciplinary Reviews: Cognitive Science 1(4), 2010
Young children and adults use lexical principles to learn new nouns
Golinkoff, Developmental Psychology 28(2), 1992
The symbol grounding problem
Harnad, Physica D: Nonlinear Phenomena 42(1-3), 1990

Hebb, 1949
Fast mapping but poor retention by 24-month-old infants
Horst, Infancy 13(2), 2008

Horst, 2006
Sources of variability in children's language growth
Huttenlocher, Cognitive Psychcology 61(4), 2010

Kwiatkowski, 2012

Liang, 2009
Lexically-based learning and early grammatical development.
Lieven EV, Pine JM, Baldwin G., J Child Lang 24(1), 1997
PMID: 9154014
Children's use of mutual exclusivity to constrain the meanings of words.
Markman EM, Wachtel GF., Cogn Psychol 20(2), 1988
PMID: 3365937
The mutual exclusivity bias in children's word learning.
Merriman WE, Bowman LL., Monogr Soc Res Child Dev 54(3-4), 1989
PMID: 2608077
Twenty-five-month-old children do not have a grammatical category of verb
Olguin, Cognitive Development 8(3), 1993
Online learning mechanisms for bayesian models of word segmentation
Pearl, Research on Language and Computation 8(2-3), 2011
Slot and frame patterns and the development of the determiner category
Pine, Applied Psycholinguistics 18(2), 1997

Pinker, 1989

Quine, 1960

Rojas, 1993
Statistical learning and language acquisition
Romberg, Wiley Interdisciplinary Reviews: Cognitive Science 1(6), 2010
Explaining errors in children's questions.
Rowland CF., Cognition 104(1), 2006
PMID: 16839536
Learning words from sights and sounds: A computational model
Roy, Cognitive Science 26(1), 2002
Statistical language learning; mechanisms and constraints
Saffran, Current Directions in Psychological Science 12(), 2003
From syllable to syntax: Multilevel statistical learning by 12-month-old infants
Saffran, Infancy 4(2), 2003
Statistical learning by 8-month-old infants.
Saffran JR, Aslin RN, Newport EL., Science 274(5294), 1996
PMID: 8943209

Schatten, 2003
Cross-situational learning: An experimental study of word-learning mechanisms
Smith, Cognitive Science 35(3), 2011
Unsupervised learning of natural languages.
Solan Z, Horn D, Ruppin E, Edelman S., Proc. Natl. Acad. Sci. U.S.A. 102(33), 2005
PMID: 16087885

Tomasello, 1992
First steps toward a usage-based theory of language acquisition
Tomasello, Cognitive Linguistics 11(1-2), 2000
The item-based nature of children's early syntactic development.
Tomasello M., Trends Cogn. Sci. (Regul. Ed.) 4(4), 2000
PMID: 10740280

Tomasello, 2003
Differential productivity in young children's use of nouns and verbs.
Tomasello M, Akhtar N, Dodson K, Rekau L., J Child Lang 24(2), 1997
PMID: 9308423
Social symbol grounding and language evolution
Vogt, Interaction Studies 8(1), 2007
An empirical generative framework for computational modeling of language acquisition.
Waterfall HR, Sandbank B, Onnis L, Edelman S., J Child Lang 37(3), 2010
PMID: 20420744

Wong, 2006
The emergence of links between lexical acquisition and object categorization: A computational study
Yu, Connection Science 17(3-4), 2005

AUTHOR UNKNOWN, 0

van, 2001

Zettlemoyer, 2007

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