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Proceedings of the 41th Annual Boston University Conference on Language Development [held November 4-6, 2016, in Boston] 1. 1
In: 1 (2017), S. 114-127
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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2
An Embodied Account of Argument Structure Development
In: Maouene, Josita; Sethuraman, Nitya; Maouene, Mounir; & Smith, Linda B. (2016). An Embodied Account of Argument Structure Development. Proceedings of the 36th Annual Meeting of the Berkeley Linguistics Society, 36(36), 261 - 275. Retrieved from: http://www.escholarship.org/uc/item/72t8x2n7 (2016)
BASE
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3
Body parts and Early-learned Verbs in 5-year-old Telugu speakers A cross-linguistic comparison in association with Telugu, Urdu and Hindi adult speakers
In: Faculty Scholarly Dissemination Grants (2015)
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4
Letting clusters and paths emerge from early semantic hypernetwork structure of features and their nouns
In: Faculty Scholarly Dissemination Grants (2013)
Abstract: Recently, Hills and colleagues (2009 a,b) have described the potential categorical information contained in the features of early-learned basic level nouns by examining the binary graph-theoretic properties of developing noun-feature networks with a deterministic method: the clique percolation. The networks were built from the overlap of words normatively acquired by children at three different ages: 20 months --21 nouns--, 25 months --56 nouns-- and 30 months -- 130 nouns-- and their perceptual and functional features from adult feature generation norms (1394 token features). The resulting networks had small-world structure, indicative of a high degree of feature overlap in local clusters. The results also suggested that overlapping features among these early-learned nouns created higher-order groupings common to adult taxonomic designations as well as ad hoc categories. However, these methods are limited as they are only descriptive and yield minimal semantic information such as the degree of connectivity of local structures, whether a link of similarity (unspecified) exist or not between two neighbors or identify cliques of connectivity with unspecified semantics. To account for these limitations, we present a different type of representation, the hypernetwork (Berge, 1956) that keeps the semantic in the system, and a different formalism the Formal concept analysis (FCA), a non deterministic method, that builds relationships of containment (Wille, 1984). Furhte, machine-learning algoritms automatically cluster and build inclusions for the features and their nouns ( 21, 56 and 130 object names) at the 3 different ages mentionned above. We compare our results to the percolation method results obtained by Hills and colleagues. The power of the system lies in its automaticity and its ability to form many intermediate clusters at all stages of the growth of the network as well as showing the emerging paths from that structure.
Keyword: Social and Behavioral Sciences
URL: https://scholarworks.gvsu.edu/fsdg/1139
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5
Object associations of early-learned light and heavy English verbs
In: First language. - London [u.a.] : SAGE Publ. 31 (2011) 1, 109-132
BLLDB
OLC Linguistik
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6
Object Associations of Early-Learned Light and Heavy English Verbs
In: Peer Reviewed Articles (2011)
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7
Body Parts Correlates of Early-Learned Verbs in Children
In: Faculty Scholarly Dissemination Grants (2011)
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8
The associative structure of language: contextual diversity in early word learning
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 63 (2010) 3, 259-273
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OLC Linguistik
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9
Object associations of early-learned light and heavy English verbs
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10
Correlating Body Experiences in Argument Structure Development
In: Faculty Scholarly Dissemination Grants (2010)
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11
The Associative Structure of Language: Contextual Diversity in Early Word Learning
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12
An Embodied Account of Argument Structure Development
In: Annual Meeting of the Berkeley Linguistics Society; BLS 36: General Session and Special and Parasessions; 261-275 ; 2377-1666 ; 0363-2946 (2010)
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13
Categorical structure among shared features in networks of early-learned nouns
In: Cognition. - Amsterdam [u.a] : Elsevier 112 (2009) 3, 381-396
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OLC Linguistik
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14
Categorical structure among shared features in networks of early-learned nouns
In: Cognition. - Amsterdam [u.a] : Elsevier 112 (2009) 3, 381-396
OLC Linguistik
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15
Longitudinal Analysis of Early Semantic Networks Preferential Attachment or Preferential Acquisition?
BASE
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16
Categorical Structure among Shared Features in Networks of Early-learned Nouns
BASE
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17
Longitudinal analysis of early semantic networks : preferential attachment or preferential acquisition?
Hills, Thomas Trenholm; Sheya, Adam; Maouene, Josita. - : Wiley-Blackwell Publishing Ltd., 2009
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18
Categorical structure among shared features in networks of early-learned nouns
BASE
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19
Body Parts and Early‐Learned Verbs
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 32 (2008) 7, 1200-1216
OLC Linguistik
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20
Body parts and early-learned verbs
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 32 (2008) 7, 1200-1216
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OLC Linguistik
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