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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7...25 Hits 41 – 60 of 495 41 Children's grammars grow more abstract with age - Evidence from an automatic procedure for identifying the productive units of language Gideon Borensztajn; Willem Zuidema; Rens Bod In: http://csjarchive.cogsci.rpi.edu/proceedings/2008/pdfs/p47.pdf (2009) BASE Show details 42 Corresponding author: Marion Tellier In: http://hal.archives-ouvertes.fr/docs/00/37/52/51/PDF/3420.pdf (2009) BASE Show details 43 Indirect evidence and the poverty of the stimulus: The case of anaphoric one. Cognitive Science 33.287–300 Stephani Foraker; A Terry Regier; A Naveen Khetarpal... In: http://psych.stanford.edu/~jlm/pdfs/ForakerEtAl09.pdf (2009) BASE Show details 44 Indirect evidence and the poverty of the stimulus: The case of anaphoric one Stephani Foraker; A Terry Regier; A Naveen Khetarpal... In: http://linguistics.berkeley.edu/~regier/papers/foraker-et-al-2009.pdf (2009) BASE Show details 45 Predicting innovative alternations in Korean verb paradigms Adam Albright; Yoonjung Kang In: http://www.mit.edu/~albright/papers/AlbrightKang-CIL18Paper.pdf (2009) BASE Show details 46 From Exemplar to Grammar: A Probabilistic Analogy-based Model of Language Learning Rens Bod In: http://staff.science.uva.nl/~rens/analogy.pdf (2009) Abstract: While rules and exemplars are usually viewed as opposites, this paper argues that they form end points of the same distribution. By representing both rules and exemplars as (partial) trees, we can take into account the fluid middle ground between the two extremes. This insight is the starting point for a new theory of language learning that is based on the following idea: If a language learner does not know which phrase-structure trees should be assigned to initial sentences, s ⁄ he allows (implicitly) for all possible trees and lets linguistic experience decide which is the ‘‘best’ ’ tree for each sentence. The best tree is obtained by maximizing ‘‘structural analogy’ ’ between a sentence and previous sentences, which is formalized by the most probable shortest combination of subtrees from all trees of previous sentences. Corpus-based experiments with this model on the Penn Treebank and the Childes database indicate that it can learn both exemplar-based and rule-based aspects of language, ranging from phrasal verbs to auxiliary fronting. By having learned the syntactic structures of sentences, we have also learned the grammar implicit in these structures, which can in turn be used to produce new sentences. We show that our model mimicks children’s language development from item-based constructions to abstract constructions, and that the model can simulate some of the errors made by children Keyword: Analogy; Auxiliary fronting; Computational modeling; Constructions; Data-oriented parsing (DOP; Discontiguous dependencies; Distituents; Language acquisition; Language generation; Poverty of the stimulus; Probabilistic context-free grammar; Probabilistic tree-substitution grammar; Rules versus exemplars; Statistical grammar induction; Unsupervised parsing; Unsupervised-DOP URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.8237 http://staff.science.uva.nl/~rens/analogy.pdf BASE Hide details 47 Artificial Language: Human Data and Modeling Pierre Perruchet; A Barbara Tillmann B In: http://leadserv.u-bourgogne.fr/IMG/pdf/CogSci2010.pdf (2009) BASE Show details 48 Exploring word learning in a high-density longitudinal corpus Brandon C. Roy; Michael C. Frank In: http://langcog.stanford.edu/papers/RFR-cogsci2009.pdf (2009) BASE Show details 49 Exploring word learning in a high-density longitudinal corpus Brandon C. Roy; Michael C. Frank In: http://141.14.165.6/CogSci09/papers/501/paper501.pdf (2009) BASE Show details 50 Experience R. Joseph Ponniah; Ph. D; Sam Mohanlal Ph. D... In: http://www.languageinindia.com/march2009/multimediaponniah.pdf (2009) BASE Show details 51 Pronoun co-referencing errors : Challenges for generativist and usage-based accounts Danielle Matthews; Elena Lieven; Anna Theakston... In: http://www.eva.mpg.de/psycho/pdf/Publications_2009_PDF/matthews_et_al_2009.pdf (2009) BASE Show details 52 Developmental Dyslexics with Persistent Deficits J Neurophysiol; Matthew A. Howard; Mitchell Steinschneider... In: http://hbrl.neurosurgery.uiowa.edu/pub_pdf/1999_Steinschneider_J_Neurophysiol.pdf (2009) BASE Show details 53 Continuity of discourse provides information for word learning Michael C. Frank; Noah D. Goodman; Joshua B. Tenenbaum... In: http://141.14.165.6/CogSci09/papers/312/paper312.pdf (2009) BASE Show details 54 Continuity of discourse provides information for word learning Michael C. Frank; Noah D. Goodman; Joshua B. Tenenbaum... In: http://www.mit.edu/~ndg/papers/FrankGoodmanTenenbaumFernald2009.pdf (2009) BASE Show details 55 Language Acquisition in Second Life: improving self‐efficacy beliefs. Proceedings ascilite. http://www.ascilite.org.au/conferences/auckland09/procs/henderson.pdf 33 Michael Henderson; Hui Huang; Scott Grant... In: http://www.ascilite.org.au/conferences/auckland09/procs/henderson.pdf (2009) BASE Show details 56 Informative communication in word production and word learning Michael C. Frank; Noah D. Goodman; Peter Lai... In: http://141.14.165.6/CogSci09/papers/280/paper280.pdf (2009) BASE Show details 57 Joint or conditional probability in statistical word learning: Why decide Krystal Klein; Chen Yu In: http://141.14.165.6/CogSci09/papers/676/paper676.pdf (2009) BASE Show details 58 Frequency and contextual diversity effects in cross-situational word learning George Kachergis; Chen Yu; Richard M. Shiffrin In: http://141.14.165.6/CogSci09/papers/521/paper521.pdf (2009) BASE Show details 59 Flexible Word Meaning in Embodied Agents P. Wellens; M. Loetzsch; L. Steels In: http://www.csl.sony.fr/downloads/papers/2008/wellens-08a.pdf (2008) BASE Show details 60 Flexible word meaning in embodied agents P. Wellens; M. Loetzsch; L. Steels In: http://arti.vub.ac.be/~pieter/Wellens-flexible-corrected-version.pdf (2008) BASE Show details Page: 1 2 3 4 5 6 7...25

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