Article published in:
Interaction Studies
Vol. 17:1 (2016) ► pp. 101127


Children’s referent selection and word learning


Alvy Ray, S.
(1978) Color gamut transform pairs. SIGGRAPH Computer Graphics, 12(3), 12–19 CrossrefGoogle Scholar
Axelsson, E. L., Churchley, K., & Horst, J. S.
(2012) The right thing at the right time: Why ostensive naming facilitates word learning. Frontiers in Psychology, 3 CrossrefGoogle Scholar
Axelsson, E. L., & Horst, J. S.
(2013) Testing a word is not a test of word learning. Acta Psychologica, 144(2), 264–268 CrossrefGoogle Scholar
Baldwin, D.A.
(1993) Infants’ ability to consult the speaker for clues to word reference. Journal of Child Language, 20(02), 395–418 CrossrefGoogle Scholar
Bion, R. A., Borovsky, A., & Fernald, A.
(2013) Fast mapping, slow learning: Disambiguation of novel word–object mappings in relation to vocabulary learning at 18, 24, and 30months. Cognition, 126(1), 39–53 CrossrefGoogle Scholar
Borovsky, A., Ellis, E. M., Evans, J. L., & Elman, J. L.
(2015) Lexical leverage: category knowledge boosts real-time novel word recognition in 2-year-olds. Developmental Science CrossrefGoogle Scholar
Borovsky, A., & Elman, J.
(2006) Language input and semantic categories: A relation between cognition and early word learning. Journal of Child Language, 33(04), 759–790 CrossrefGoogle Scholar
Brooks, R., & Meltzoff, A. N.
(2005) The development of gaze following and its relation to language. Developmental Science, 8(6), 535–543 CrossrefGoogle Scholar
[ p. 113 ]
Cangelosi, A., & Schlesinger, M.
(2015) Developmental robotics: From babies to robots. MIT Press.Google Scholar
Carey, S., & Bartlett, E.
(1978) Acquiring a single new word. Papers and Reports on Child Language Development, 15, 17–29.Google Scholar
Clark, E.V.
(1990) On the pragmatics of contrast. Journal of Child Language, 17(2), 417–431 CrossrefGoogle Scholar
(1995) The Lexicon in Acquisition. Cambridge University Press.Google Scholar
Fantz, R.L.
(1964) Visual experience in infants: Decreased attention familar patterns relative to novel ones. Science, 146(668–670 CrossrefGoogle Scholar
Faubel, C., & Schoner, G.
(2008) Learning to recognize objects on the fly: A neurally based dynamic field approach. Neural Networks, 21(4), 562–576 CrossrefGoogle Scholar
Fazly, A., Alishahi, A., & Stevenson, S.
(2010) A probabilistic computational model of cross-situational word learning. Cognitive Science, 34(6), 1017–1063 CrossrefGoogle Scholar
Fenson, L., Dale, P. S., Reznick, J. S., Thal, D., Bates, E., Hartung, J. P., … Reilly, J. S.
(1993) The MacArthur Communicative Development Inventories: User’s Guide and Technical Manual. San Diego: Singular Publishing Group.Google Scholar
Fitneva, S. A., & Christiansen, M. H.
(2011) Looking in the wrong direction correlates with more accurate word learning. Cognitive Science, 35(2), 367–380 CrossrefGoogle Scholar
Gillette, J., Gleitman, H., Gleitman, L., & Lederer, A.
(1999) Human simulations of vocabulary learning. Cognition, 73(2), 135–176 CrossrefGoogle Scholar
Gliozzi, V., Mayor, J., Hu, J. F., & Plunkett, K.
(2009) Labels as features (not names) for infant categorization: A neurocomputational approach. Cognitive Science, 33(4), 709–738 CrossrefGoogle Scholar
Golinkoff, R. M., Hirsh-Pasek, K., Bailey, L. M., & Wenger, N. R.
(1992) Young children and adults use lexical principles to learn new nouns. Developmental Psychology, 28(1), 99–108 CrossrefGoogle Scholar
Golinkoff, R. M., Ma, W., Song, L., & Hirsh-Pasek, K.
(2013) Twenty-five years using the Intermodal Preferential Looking Paradigm to study language acquisition: What have we learned? Perspectives on Psychological Science, 8(3), 316–339 CrossrefGoogle Scholar
Gurney, K.
(1997) An introduction to neural networks. CRC Press. CrossrefGoogle Scholar
Halberda, J.
(2006) Is this a dax which I see before me? Use of the logical argument disjunctive syllogism supports word-learning in children and adults. Cognitive Psychology, 53(4), 310–44 CrossrefGoogle Scholar
Hebb, D.
(1949) The organization of behavior: A neuropsychological theory.Google Scholar
Horst, J. S., McMurray, B. & Samuelson, L. K.
(2006) Online processing is essential for learning: Understanding fast mapping and word learning in a dynamic connectionist architecture. Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum & Associates.Google Scholar
Horst, J. S., & Samuelson, L. K.
(2008) Fast mapping but poor retention by 24-month-old infants. Infancy, 13(2), 128–157 CrossrefGoogle Scholar
Horst, J. S., Samuelson, L. K., Kucker, S. C., & McMurray, B.
(2011) What’s new? Children prefer novelty in referent selection. Cognition, 118(2), 234–244 CrossrefGoogle Scholar
[ p. 114 ]
Horst, J. S., Scott, E. J., & Pollard, J. P.
(2010) The role of competition in word learning via referent selection. Developmental Science, 13(5), 706–713 CrossrefGoogle Scholar
Horst, J. S., & Simmering, V. R.
(2015) Category learning in a dynamic world. Frontiers in Psychology, 6Google Scholar
Horst, J. S., McMurray, B. & Samuelson, L. K.
(2006) Online processing is essential for learning: Understanding fast mapping and word learning in a dynamic connectionist architecture. Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum & AssociatesGoogle Scholar
Houston-Price, C., & Nakai, S.
(2004) Distinguishing novelty and familiarity effects in infant preference procedures. Infant and Child Development, 13(4), 341–348 CrossrefGoogle Scholar
Houston-Price, C., Plunkett, K., & Harris, P.
(2005) “Word-learning wizardry” at 1;6. Journal of Child Language, 32(1), 175–189 CrossrefGoogle Scholar
Kohonen, T.
(1998) The Self-Organizing Map, a possible model of brain maps. Brain and Values, 207–236 568.Google Scholar
Klee, T., Marr, C., Robertson, E., & Harrison, C.
(1999) The MacArthur Communicative Development Inventory: Toddler (British English adaptation). Newcastle, England: Newcastle University Press.Google Scholar
Kucker, S. C., McMurray, B., & Samuelson, L. K.
(2015) Slowing down fast mapping: Redefining the dynamics of word learning. Child Development Perspectives, 9(2), 74–78 CrossrefGoogle Scholar
Kucker, S. C., & Samuelson, L. K.
(2011) The first slow step: Differential effects of object and word-form familiarization on retention of fast-mapped words. Infancy, 17(3), 295–323 CrossrefGoogle Scholar
Maestre, C., Cully, A., Gonzales, C., & Doncieux, S.
(2015) Bootstrapping interactions with objects from raw sensorimotor data: a Novelty Search based approach. In Proceedings of the 5th International Conference on Development and Learning and on Epigenetic Robotics. Providence, RI.Google Scholar
Mani, N., & Plunkett, K.
(2010) In the infant’s mind’s ear: Evidence for implicit naming in 18-month-olds. Psychological Science, 21(7), 908–913 CrossrefGoogle Scholar
Markman, E.M.
(1990) Constraints children place on word meanings. Cognitive Science, 14(1), 57–77 CrossrefGoogle Scholar
(1994) Constraints on word meaning in early language acquisition. Lingua, 92(1–4), 199–227 CrossrefGoogle Scholar
Markman, E. M., & Hutchinson, J. E.
(1984) Children’s sensitivity to constraints on word meaning: Taxonomic versus thematic relations. Cognitive Psychology, 16(1), 1–27 CrossrefGoogle Scholar
Markman, E. M., & Wachtel, G. F.
(1988) Children’s use of mutual exclusivity to constrain the meaning of words. Cognitive Psychology, 20(2), 121–157 CrossrefGoogle Scholar
Marocco, D., Cangelosi, A., Fischer, K., & Belpaeme, T.
(2010) Grounding action words in the sensorimotor interaction with the world: experiments with a simulated iCub humanoid robot. Frontiers in Neurorobotics, 4Google Scholar
Mather, E., & Plunkett, K.
(2009) Learning words over time: The role of stimulus repetition in Mutual Exclusivity. Infancy, 14(1), 60–76 CrossrefGoogle Scholar
McClelland, J. L.
(2009) The place of modeling in cognitive science. Topics in Cognitive Science, 1(1), 11–38 CrossrefGoogle Scholar
[ p. 115 ]
McClelland, J. L., & Rumelhart, D. E.
(1981) An interactive activation model of context effects in letter perception: I. An account of basic findings. Psychological Review, 88(5), 375 CrossrefGoogle Scholar
McMurray, B., Horst, J. S., & Samuelson, L. K.
(2012) Word learning emerges from the interaction of online referent selection and slow associative learning. Psychological Review, 119(4), 83877 CrossrefGoogle Scholar
Medina, T. N., Snedeker, J., Trueswell, J. C., & Gleitman, L. R.
(2011) How words can and cannot be learned by observation. Proceedings of the National Academy of Sciences, 108(22), 9014–9019 CrossrefGoogle Scholar
Merriman, W. E., Bowman, L. L., & MacWhinney, B.
(1989) The mutual exclusivity bias in children’s word learning. Monographs of the Society for Research in Child Development, i–129 CrossrefGoogle Scholar
Mervis, C. B., & Bertrand, J.
(1994) Acquisition of the Novel Name Nameless Category (N3c) principle. Child Development, 65(6), 1646–1662 CrossrefGoogle Scholar
Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., von Hofsten, C., Rosander, K., Lopes, M., Santos-victor, J., Bernardino, A., & Montesano, L.
(2010) The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks Neural Networks, 23(8–9), 1125–1134 CrossrefGoogle Scholar
Montesano, L., Lopes, M., Bernardino, A., & Santos-Victor, J.
(2008) Learning object affordances: from sensory–motor coordination to imitation. IEEE Transactions on Robotics, 24(1), 15–26 CrossrefGoogle Scholar
Moore, R., Mueller, B., Kaminski, J., & Tomasello, M.
(2015) Two-year-old children but not domestic dogs understand communicative intentions without language, gestures, or gaze. Developmental Science, 18(2), 232–242 CrossrefGoogle Scholar
Morse, A. F., Benitez, V. L., Belpaeme, T., Cangelosi, A., & Smith, L. B.
(2015) Posture affects how robots and infants map words to objects. PLoS ONE, 10(3), e0116012 CrossrefGoogle Scholar
Morse, A. F. & Cangelosi, A.
(in press). Why are there developmental stages in language learning? A developmental robotics model of language development. Cognitive Science.
Morse, A. F., de Greeff, J., Belpeame, T., & Cangelosi, A.
(2010) Epigenetic Robotics Architecture (ERA). IEEE Transactions on Autonomous Mental Development, 2(4), 325–339. CrossrefGoogle Scholar
Munakata, Y., & Pfaffly, J.
(2004) Hebbian learning and development. Developmental Science, 7(2), 141–8. CrossrefGoogle Scholar
Munro, N., Baker, E., McGregor, K., Docking, K., & Arculi, J.
(2012) Why word learning is not fast. Frontiers in Psychology, 3 CrossrefGoogle Scholar
Oudeyer, P.-Y., & Smith, L.
(2016) How evolution may work through curiosity-driven developmental process. Topics in Cognitive Science, 8(2),492–502. Crossref
Perry, L. K., & Samuelson, L. K.
(2011) The shape of the vocabulary predicts the shape of the bias. Frontiers in Psychology, 2, 345 CrossrefGoogle Scholar
Quine, W. V. O.
(1960) Word and Object. Cambridge: MA: MIT Press.Google Scholar
Samuelson, L.K.
(2002) Statistical regularities in vocabulary guide language acquisition in connectionist models and 15–20-month-olds. Developmental Psychology, 38(6), 1016–1037 CrossrefGoogle Scholar
Samuelson, L. K., Smith, L. B., Perry, L. K., & Spencer, J. P.
(2011) Grounding word learning in space. Plo S One, 6(12), e28095 CrossrefGoogle Scholar
[ p. 116 ]
Schulze, C., & Tomasello, M.
(2015) 18-month-olds comprehend indirect communicative acts. Cognition, 136, 91–98 CrossrefGoogle Scholar
Shaw, P., Law, J., & Lee, M.
(2014) A comparison of learning strategies for biologically constrained development of gaze control on an icub robot. Autonomous Robots, 37(1), 97–110 CrossrefGoogle Scholar
Smith, L.B.
(2000) Learning how to learn words: An associative crane. In R. M. Golinkoff, Hirsh-Pasek, K. , Bloom, L., Smith, L. B. , Woodward, A. L., Akhtar, N., … G. Hollich (Eds.), Becoming a Word Learner: A Debate on Lexical Acquisition (pp. 51–80). New York: Oxford University Press. CrossrefGoogle Scholar
Smith, L. B., Colunga, E., & Yoshida, H.
(2010) Knowledge as process: Contextually cued attention and early word learning. Cognitive Science, 34(7), 1287–1314 CrossrefGoogle Scholar
Smith, L. B., Jones, S. S., Yoshida, H., & Colunga, E.
(2003) Whose DAM account? Attentional learning explains Booth and Waxman. Cognition, 87(3), 209–213. CrossrefGoogle Scholar
Smith, L. B., & Yu, C.
(2008) Infants rapidly learn word-referent mappings via cross-situational statistics. Cognition, 106(3), 1558–1568 CrossrefGoogle Scholar
Smith, L. B., Yu, C., & Pereira, A. F.
(2011) Not your mother’s view: The dynamics of toddler visual experience. Developmental Science, 14(1), 9–17 CrossrefGoogle Scholar
Thelen, E., & Smith, L. B.
(1994) A dynamic systems approach to the development of cognition and action. Cambridge, Mass: MIT Press.Google Scholar
Tikhanoff, V., Cangelosi, A., & Metta, G.
(2011) Integration of speech and action in humanoid robots: iCub simulation experiments. Autonomous Mental Development, IEEE Transactions on, 3(1), 17–29 CrossrefGoogle Scholar
Tomasello, M., & Akhtar, N.
(1995) Two-year-olds use pragmatic cues to differentiate reference to objects and actions. Cognitive Development, 10(2), 201–224 CrossrefGoogle Scholar
Twomey, K. E., Chang, F., & Ambridge, B.
(2014) Do as I say, not as I do: A lexical distributional account of English locative verb class acquisition. Cognitive Psychology, 73, 41–71 CrossrefGoogle Scholar
Twomey, K. E., Horst, J. S., & Morse, A. F.
(2013) An embodied model of young children’s categorization and word learning. In L. J. Gogate & G. Hollich (Eds.), Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence (pp. 172–196). Hershey, PA: Information Science Reference CrossrefGoogle Scholar
Twomey, K. E., Ranson, S. L., & Horst, J. S.
(2014) That’s more like it: Multiple exemplars facilitate word learning. Infant and Child Development, 23(2), 105–122 CrossrefGoogle Scholar
Westermann, G., & Mareschal, D.
(2012) Mechanisms of developmental change in infant categorization. Cognitive Development, 27(4), 367–382 CrossrefGoogle Scholar
(2014) From perceptual to language-mediated categorization. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1634), 20120391Google Scholar
Yuan, S., Fisher, C., & Snedeker, J.
(2012) Counting the nouns: Simple structural cues to verb neaning. Child Development, 83(4), 1382–1399 CrossrefGoogle Scholar
Yu, C., & Smith, L. B.
(2007) Rapid word learning under uncertainty via cross-situational statistics. Psychological Science, 18(5), 414–420 CrossrefGoogle Scholar
[ p. 117 ]
Yurovsky, D., Fricker, D. C., Yu, C., & Smith, L. B.
(2014) The role of partial knowledge in statistical word learning. Psychonomic Bulletin & Review, 21(1), 1–22 CrossrefGoogle Scholar
Zosh, J. M., Brinster, M., & Halberda, J.
(2013) Optimal contrast: Competition between two referents improves word learning. Applied Developmental Science, 17(1), 20–28 CrossrefGoogle Scholar
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