Chapter published in:
Current Perspectives on Child Language Acquisition: How children use their environment to learn
Edited by Caroline F. Rowland, Anna L. Theakston, Ben Ambridge and Katherine E. Twomey
[Trends in Language Acquisition Research 27] 2020
► pp. 3964


Abbot-Smith, K., & Behrens, H.
(2006) How known constructions influence the acquisition of other constructions: The German passive and future constructions. Cognitive Science, 30(6), 995–1026. CrossrefGoogle Scholar
Alishahi, A., & Stevenson, S.
(2008) A computational model of early argument structure acquisition. Cognitive Science, 32(5), 789–834. CrossrefGoogle Scholar
Ambridge, B., Barak, L., Wonnacott, E., Bannard, C., & Sala, G.
(2018) Effects of both preemption and entrenchment in the retreat from verb overgeneralization errors: Four reanalyses, an extended replication, and a meta-analytic synthesis. Collabra: Psychology, 4(1), 23. CrossrefGoogle Scholar
Ambridge, B., Pine, J. M., & Lieven, E. V.
(2014) Child language acquisition: Why universal grammar doesn’t help. Language, 90(3), e53–e90. CrossrefGoogle Scholar
Ambridge, B., Kidd, E., Rowland, C. F., & Theakston, A. L.
(2015) The ubiquity of frequency effects in first language acquisition. Journal of Child Language, 42(2), 239–273. CrossrefGoogle Scholar
Asada, M.
(2012) Towards language acquisition by cognitive developmental robotics. In T. C. Scott-Phillips, M. Tamariz, E. A. Cartmill & J. R. Hurford (Eds), The evolution of language (pp. 19–25). Singapore: World Scientific. CrossrefGoogle Scholar
Asada, M., Hosoda, K., Kuniyoshi, Y., Ishiguro, H., Inui, T., Yoshikawa, Y., … Yoshida, C.
(2009) Cognitive developmental robotics: A survey. IEEE Transactions on Autonomous Mental Development, 1(1), 12–34. CrossrefGoogle Scholar
Baldwin, D. A.
(1993) Early referential understanding: Infants’ ability to recognize referential acts for what they are. Developmental Psychology, 29(5), 832. CrossrefGoogle Scholar
Barsalou, L. W.
(1999) Perceptions of perceptual symbols. Behavioral and Brain Sciences, 22(4), 637–660. CrossrefGoogle Scholar
(2003) Abstraction in perceptual symbol systems. Philosophical Transactions of the Royal Society B: Biological Sciences, 358(1435), 1177–1187. CrossrefGoogle Scholar
Borghi, A. M., Barca, L., Binkofski, F., & Tummolini, L.
(2018) Varieties of abstract concepts: Development, use and representation in the brain. Philosophical Transactions of the Royal Society B, 373(1752), 20170121. CrossrefGoogle Scholar
Bowerman, M.
(1988) The ‘no negative evidence’ problem: How do children avoid constructing an overly general grammar? In J. Hawkins (Ed.), Explaining language universals (pp. 73–101). Oxford: Basil Blackwell.Google 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
Broz, F., Nehaniv, C. L., Belpaeme, T., Bisio, A., Dautenhahn, K., Fadiga, L., … Gigliotta, O.
(2014) The ITALK project: A developmental robotics approach to the study of individual, social, and linguistic learning. Topics in Cognitive Science, 6(3), 534–544. CrossrefGoogle Scholar
Brusini, P., Dehaene-Lambertz, G., Van Heugten, M., de Carvalho, A., Goffinet, F., Fiévet, A.-C., & Christophe, A.
(2017) Ambiguous function words do not prevent 18-month-olds from building accurate syntactic category expectations: An ERP study. Neuropsychologia, 98, 4–12. CrossrefGoogle Scholar
Cangelosi, A., Greco, A., & Harnad, S.
(2000) From robotic toil to symbolic theft: Grounding transfer from entry-level to higher-level categories. Connection Science, 12(2), 143–162. CrossrefGoogle Scholar
Cangelosi, A., & Schlesinger, M.
(2015) Developmental robotics: From babies to robots. Cambridge, MA: The MIT Press. CrossrefGoogle Scholar
(2018) From babies to robots: The contribution of developmental robotics to developmental psychology. Child Development Perspectives, 12(3), 183–188. CrossrefGoogle Scholar
Cangelosi, A., & Stramandinoli, F.
(2018) A review of abstract concept learning in embodied agents and robots. Philosophical Transactions of the Royal Society B, 373(1752), 20170131. CrossrefGoogle Scholar
Carey, S., & Bartlett, E.
(1978) Acquiring a single new word. Papers and Reports on Child Language Development, 15, 17–29. CrossrefGoogle Scholar
Carpenter, M., Nagell, K., Tomasello, M., Butterworth, G., & Moore, C.
(1998) Social cognition, joint attention, and communicative competence from 9 to 15 months of age. Monographs of the Society for Research in Child Development, 63(4), i–174. CrossrefGoogle Scholar
Chang, F., Dell, G. S., & Bock, K.
(2006) Becoming syntactic. Psychological Review, 113(2), 234–272. CrossrefGoogle Scholar
Chang, F.
(2009) Learning to order words: A connectionist model of heavy NP shift and accessibility effects in Japanese and English. Journal of Memory and Language, 61(3), 374–397. CrossrefGoogle Scholar
Chomsky, N.
(1965) Aspects of the theory of syntax. Cambridge, MA: The MIT Press.Google Scholar
(2011) Language and other cognitive systems. What is special about language? Language Learning and Development, 7(4), 263–278. CrossrefGoogle Scholar
Christiansen, M. H., & Chater, N.
(2008) Language as shaped by the brain. Behavioral and Brain Sciences, 31(5), 489–509. CrossrefGoogle Scholar
Colunga, E., & Smith, L. B.
(2003) The emergence of abstract ideas: Evidence from networks and babies. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, 358(1435), 1205–1214. CrossrefGoogle Scholar
(2005) From the lexicon to expectations about kinds: A role for associative learning. Psychological Review, 112(2), 347–382. CrossrefGoogle Scholar
Csibra, G., & Gergely, G.
(2009) Natural pedagogy. Trends in Cognitive Sciences, 13(4), 148–153. CrossrefGoogle Scholar
De La Cruz, V. M., Di Nuovo, A., Di Nuovo, S., & Cangelosi, A.
(2014) Making fingers and words count in a cognitive robot. Frontiers in Behavioral Neuroscience, 8, 13. CrossrefGoogle Scholar
Deák, G. O.
(2003) The development of cognitive flexibility and language abilities. Advances in Child Development and Behavior, 31, 273–328.Google Scholar
Dominey, P. F., & Boucher, J.-D.
(2005) Learning to talk about events from narrated video in a construction grammar framework. Artificial Intelligence, 167(1–2), 31–61. CrossrefGoogle Scholar
Elman, J. L.
(1990) Finding structure in time. Cognitive Science, 14(2), 179–211. CrossrefGoogle Scholar
(1993) Learning and development in neural networks: The importance of starting small. Cognition, 48(1), 71–99. CrossrefGoogle Scholar
Fenson, L., Dale, P. S., Reznick, J. S., Bates, E., Thal, D. J., & Pethick, S. J.
(1994) Variability in early communicative development. Monographs of the Society for Research in Child Development, 59(5), R5-+. CrossrefGoogle Scholar
Fisher, C., Gertner, Y., Scott, R. M., & Yuan, S.
(2010) Syntactic bootstrapping. Wiley Interdisciplinary Reviews: Cognitive Science, 1(2), 143–149. CrossrefGoogle Scholar
Flash, T., & Hochner, B.
(2005) Motor primitives in vertebrates and invertebrates. Current Opinion in Neurobiology, 15(6), 660–666. CrossrefGoogle Scholar
Freudenthal, D., Pine, J. M., Jones, G., & Gobet, F.
(2015) Simulating the cross-linguistic pattern of Optional Infinitive errors in children’s declaratives and wh-questions. Cognition, 143, 61–76. CrossrefGoogle Scholar
Gleitman, L.
(1990) The structural sources of verb meanings. Language Acquisition, 1(1), 3–55. CrossrefGoogle Scholar
Gleitman, L., Cassidy, K., Nappa, R., Papafragou, A., & Trueswell, J. C.
(2005) Hard words. Language Learning and Development, 1(1), 23–64. CrossrefGoogle Scholar
Goldberg, A. E.
(1995) Constructions: A construction grammar approach to argument structure. Chicago, IL: University of Chicago Press.Google Scholar
Goldenberg, E. R., & Sandhofer, C. M.
(2013) Same, varied, or both? Contextual support aids young children in generalizing category labels. Journal of Experimental Child Psychology, 115(1), 150–162. 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
Grafton, S. T., & de C. Hamilton, A. F.
(2007) Evidence for a distributed hierarchy of action representation in the brain. Human Movement Science, 26(4), 590–616. CrossrefGoogle Scholar
Gratier, M., Devouche, E., Guellai, B., Infanti, R., Yilmaz, E., & Parlato-Oliveira, E.
(2015) Early development of turn-taking in vocal interaction between mothers and infants. Frontiers in Psychology, 6(1167), 10–3389. 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), 310–344.Crossref [pii] CrossrefGoogle Scholar
Hart, B., & Risley, T. R.
(1995) Meaningful differences in the everyday experience of young American children. Baltimore, MD: Paul H Brookes.Google Scholar
Hilton, M., Twomey, K. E., & Westermann, G.
(2019) Taking their eye off the ball: How shyness affects children’s attention during word learning. Journal of Experimental Child Psychology, 183, 134–145. CrossrefGoogle Scholar
Hilton, M., & Westermann, G.
(2017) The effect of shyness on children’s formation and retention of novel word–object mappings. Journal of Child Language, 44(6), 1394–1412. CrossrefGoogle Scholar
Hirsh-Pasek, K., Adamson, L. B., Bakeman, R., Owen, M. T., Golinkoff, R. M., Pace, A., … Suma, K.
(2015) The contribution of early communication quality to low-income children’s language success. Psychological Science, 26(7), 1071–1083. CrossrefGoogle Scholar
Hoff, E.
(2003) The specificity of environmental influence: Socioeconomic status affects early vocabulary development via maternal speech. Child Development, 74(5), 1368–1378. CrossrefGoogle Scholar
(2006) How social contexts support and shape language development. Developmental Review, 26(1), 55–88. CrossrefGoogle Scholar
(2018) Bilingual development in children of immigrant families. Child Development Perspectives, 12(2), 80–86. CrossrefGoogle Scholar
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., Twomey, K. E., Morse, A. F., Nurse, R., & Cangelosi, A.
(2019) When object color is a red herring: Extraneous perceptual information hinders word learning via referent selection. IEEE Transactions on Cognitive and Developmental Systems.CrossrefGoogle Scholar
Imai, M., & Gentner, D.
(1997) A cross-linguistic study of early word meaning: Universal ontology and linguistic influence. Cognition, 62(2), 169–200. CrossrefGoogle Scholar
Inkster, M., Wellsby, M., Lloyd, E., & Pexman, P. M.
(2016) Development of embodied word meanings: Sensorimotor effects in children’s lexical processing. Frontiers in Psychology, 7, 317. CrossrefGoogle Scholar
Iverson, J. M.
(2010) Developing language in a developing body: The relationship between motor development and language development. Journal of Child Language, 37(2), 229–261. CrossrefGoogle Scholar
Jones, G., & Rowland, C. F.
(2017) Diversity not quantity in caregiver speech: Using computational modeling to isolate the effects of the quantity and the diversity of the input on vocabulary growth. Cognitive Psychology, 98, 1–21. CrossrefGoogle Scholar
Kaplan, F., Oudeyer, P.-Y., & Bergen, B.
(2008) Computational models in the debate over language learnability. Infant and Child Development, 17(1), 55–80. CrossrefGoogle Scholar
Kohonen, T.
(1998) The self-organizing map. Neurocomputing, 21(1–3), 1–6. CrossrefGoogle 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
Landauer, T. K., & Dumais, S. T.
(1997) A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211. CrossrefGoogle Scholar
Levinson, S. C.
(2016) Turn-taking in human communication – Origins and implications for language processing. Trends in Cognitive Sciences, 20(1), 6–14. CrossrefGoogle Scholar
Lieven, E. V.
(1994) Crosslinguistic and crosscultural aspects of language addressed to children. In C. Gallaway & B. J. Richards, Input and Interaction in language acquisition. (pp. 56–73). Cambridge: Cambridge University Press. CrossrefGoogle Scholar
(2010a) Bilingual language acquisition. Human Development, 53(5), 256–263. CrossrefGoogle Scholar
(2010b) Input and first language acquisition: Evaluating the role of frequency. Lingua, 120(11), 2546–2556. CrossrefGoogle Scholar
(2014) First language development: A usage-based perspective on past and current research. Journal of Child Language, 41(S1), 48–63. CrossrefGoogle Scholar
(2016) Usage-based approaches to language development: Where do we go from here? Language and Cognition, 8(3), 346–368. CrossrefGoogle Scholar
Li, P., Zhao, X., & MacWhinney, B.
(2007) Dynamic self-organization and early lexical development in children. Cognitive Science, 31(4), 581–612. CrossrefGoogle Scholar
Lyon, C., Sato, Y., Saunders, J., & Nehaniv, C. L.
(2009) What is needed for a robot to acquire grammar? Some underlying primitive mechanisms for the synthesis of linguistic ability. IEEE Transactions on Autonomous Mental Development, 1(3), 187–195. CrossrefGoogle Scholar
Markman, E. M.
(1994) Constraints on word meaning in early language acquisition. Lingua, 92(1–4), 199–227. CrossrefGoogle Scholar
McCauley, S. M., & Christiansen, M. H.
(2017) Computational investigations of multiword chunks in language learning. Topics in Cognitive Science, 9(3), 637–652. CrossrefGoogle Scholar
McClelland, J. L.
(2009) The place of modeling in cognitive science. Topics in Cognitive Science, 1(1), 11–38. 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
Meteyard, L., Cuadrado, S. R., Bahrami, B., & Vigliocco, G.
(2012) Coming of age: A review of embodiment and the neuroscience of semantics. Cortex, 48(7), 788–804. CrossrefGoogle Scholar
Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., … 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
Michel, C., Wronski, C., Pauen, S., Daum, M. M., & Hoehl, S.
(2017) Infants’ object processing is guided specifically by social cues. Neuropsychologia, 126, 54–61. CrossrefGoogle Scholar
Miikkulainen, R.
(1996) Subsymbolic case-role analysis of sentences with embedded clauses. Cognitive Science, 20(1), 47–73. 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.
(2017) Why are there developmental stages in language learning? A developmental robotics model of language development. Cognitive Science, 41(S1), 32–51. CrossrefGoogle Scholar
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
Morse, A. F., Herrera, C., Clowes, R., Montebelli, A., & Ziemke, T.
(2011) The role of robotic modelling in cognitive science. New Ideas in Psychology, 29(3), 312–324. CrossrefGoogle Scholar
Nagai, Y., Asada, M., & Hosoda, K.
(2006) Learning for joint attention helped by functional development. Advanced Robotics, 20(10), 1165–1181. CrossrefGoogle Scholar
Naigles, L.
(1990) Children use syntax to learn verb meanings. Journal of Child Language, 17(02), 357–374. CrossrefGoogle Scholar
Oudeyer, Pierre-Yves, & Kaplan, F.
(2006) Discovering communication. Connection Science, 18(2), 189–206. CrossrefGoogle Scholar
Pereira, A. F., Smith, L. B., & Yu, C.
(2014) A bottom-up view of toddler word learning. Psychonomic Bulletin & Review, 21(1), 178–185. CrossrefGoogle Scholar
Pexman, P. M., Muraki, E., Sidhu, D. M., Siakaluk, P. D., & Yap, M. J.
(2019) Quantifying sensorimotor experience: Body–object interaction ratings for more than 9,000 English words. Behavior Research Methods, 51(2), 453–466. CrossrefGoogle Scholar
Pinker, S.
(1989) Learnability and cognition: The acquisition of argument structure. Cambridge, MA: The MIT Press.Google Scholar
Quine, W. V. O.
(1960) Word and object. Cambridge, MA: The MIT Press.Google Scholar
Rucinski, M., Cangelosi, A., & Belpaeme, T.
(2012) Robotic model of the contribution of gesture to learning to count. In Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on (pp. 1–6). IEEE. CrossrefGoogle Scholar
Samuelson, L. K., Smith, L. B., Perry, L. K., & Spencer, J. P.
(2011) Grounding word learning in space. PloS One, 6(12), e28095. CrossrefGoogle Scholar
Samuelson, L. K., Schutte, A. R., & Horst, J. S.
(2009) The dynamic nature of knowledge: Insights from a dynamic field model of children’s novel noun generalization. Cognition, 110(3), 322–345. CrossrefGoogle Scholar
Simmering, V. R., Triesch, J., Deák, G. O., & Spencer, J. P.
(2010) A dialogue on the role of computational modeling in developmental science. Child Development Perspectives, 4(2), 152–158. CrossrefGoogle Scholar
Silverstein, P., Westermann, G., Parise, E., & Twomey, K. E.
(2019) Do infants learn to follow gaze through reinforcement learning? Testing a robot prediction. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Oslo, Norway. IEEE.Google Scholar
Smith, L. B.
(2005) Cognition as a dynamic system: Principles from embodiment. Developmental Review, 25(3), 278–298. 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
Smith, L., & Yu, C.
(2008) Infants rapidly learn word–referent mappings via cross-situational statistics. Cognition, 106(3), 1558–1568. CrossrefGoogle Scholar
Spelke, E. S., & Kinzler, K. D.
(2007) Core knowledge. Developmental Science, 10(1), 89–96. CrossrefGoogle Scholar
Steels, L.
(2016) Agent-based models for the emergence and evolution of grammar. Philosophical Transactions of the Royal Society B, 371(1701), 20150447. CrossrefGoogle Scholar
Stramandinoli, F., Marocco, D., & Cangelosi, A.
(2017) Making sense of words: A robotic model for language abstraction. Autonomous Robots, 41(2), 367–383. CrossrefGoogle Scholar
Taniguchi, T., Nagai, T., Nakamura, T., Iwahashi, N., Ogata, T., & Asoh, H.
(2016) Symbol emergence in robotics: a survey. Advanced Robotics, 30(11–12), 706–728. CrossrefGoogle Scholar
Thelen, E.
(2000) Grounded in the world: Developmental origins of the embodied mind. Infancy, 1(1), 3–28. CrossrefGoogle Scholar
Thelen, E., & Smith, L. B.
(1996) A dynamic systems approach to the development of cognition and action. Cambridge, MA: The MIT Press.Google Scholar
Thelen, E.
(1979) Rhythmical stereotypies in normal human infants. Animal Behaviour, 27, 699–715. CrossrefGoogle Scholar
Thill, S., & Twomey, K.
(2016) What’s on the inside counts: A grounded account of concept acquisition and development. Frontiers in Psychology (Cognition), 7, 402. CrossrefGoogle Scholar
Thill, S., Padó, S., & Ziemke, T.
(2014) On the importance of a rich embodiment in the grounding of concepts: Perspectives from embodied cognitive science and computational linguistics. Topics in Cognitive Science, 6(3), 545–558. CrossrefGoogle Scholar
Tomasello, M.
(2003) Constructing a language: A usage-based theory of language acquisition. Cambridge, MA: Harvard University Press.Google Scholar
Tomasello, M., & Farrar, M. J.
(1986) Joint attention and early language. Child Development, 57(6),1454–1463. CrossrefGoogle Scholar
Tomasello, M., Carpenter, M., & Liszkowski, U.
(2007) A new look at infant pointing. Child Development, 78(3), 705–722. CrossrefGoogle Scholar
Tovar, Á. E., Westermann, G., & Torres, A.
(2018) From altered synaptic plasticity to atypical learning: A computational model of Down syndrome. Cognition, 171, 15–24. 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., Ma, L., & Westermann, G.
(2018) All the right noises: Background variability helps early word learning. Cognitive Science, 42(S2), 413–438. CrossrefGoogle Scholar
Twomey, K. E., Morse, A. F., Cangelosi, A., & Horst, J. S.
(2016) Children’s referent selection and word learning: Insights from a developmental robotic system. Interaction Studies, 17(1), 93–119. CrossrefGoogle Scholar
Xu, F., & Tenenbaum, J. B.
(2007) Word learning as Bayesian inference. Psychological Review, 114(2), 245–272. CrossrefGoogle Scholar
Yoo, H., Bowman, D. A., & Oller, D. K.
(2018) The origin of protoconversation: An examination of caregiver responses to cry and speech-like vocalizations. Frontiers in Psychology, 9. CrossrefGoogle Scholar
Yu, C., & Smith, L. B.
(2013) Joint attention without gaze following: Human infants and their parents coordinate visual attention to objects through eye-hand coordination. PloS One, 8(11), e79659. CrossrefGoogle Scholar