Problems and Research Prospects on Learning of New Words: Fast Mapping vs Explicit Encoding

37

Abstract

This article reviews the problem of finding the most efficient strategy for new word acquisition. The authors analyse studies aimed at finding the differences between two learning strategies: fast mapping (FM), which is based on deduction and deriving meaning from context, and explicit encoding (EE), which implies learning new information through explicit instruction. While behavioural findings on these strategies’ efficiency (in terms of new word acquisition) are controversial, neurophysiological studies proved the existence of different neurophysiological mechanisms underlying the two strategies. The authors deem it necessary to shift focus of FM — EE differences research from comparing the efficiency of new word acquisition onto analysing of the two strategies’ additional characteristics, such as sensitivity to interference, speed of lexical and semantic integration of new words, memory consolidation during sleep. A new approach to explaining the differences between FM and EE is offered. It suggests a comparison of the two learning strategies’ mechanisms to neural mechanisms of the visual perception system — according to ascending and descending pathways of hierarchy (bottom-up and top-down signals into cortical activities). In particular, the authors suppose that FM activates bottom-up information processing, whereas EE activates top-down information processing. Future perspectives of research on this subject are discussed, such as exploring the effects of object or phenomena labelling on language learning occurring through FM or EE. The authors claim that it is important to conduct such studies with the use of an eye tracker in order to test the aforementioned suggestion about mechanisms, underlying learning strategies, and explaining the differences between them in terms of efficiency of language learning.

General Information

Keywords: explicit encoding, fast mapping, language acquisition, new word learning, labelling, ascending and descending pathways of hierarchy in the visual perception system

Journal rubric: Theory and Methodology of Psychology

Article type: scientific article

DOI: https://doi.org/10.21638/spbu16.2022.409

Funding. The study was supported by the Russian Science Foundation, project no. 22-28-01040 “The role of verbal notation in semantic learning of new concepts: the effects of fast mapping and explicit coding”.

For citation: Gnedykh D.S., Filippova M.G., Makarova D.N., Perikova E.I. Problems and Research Prospects on Learning of New Words: Fast Mapping vs Explicit Encoding. Vestnik of Saint Petersburg University. Psychology, 2022. Vol. 12, no. 4, pp. 527–543. DOI: 10.21638/spbu16.2022.409. (In Russ., аbstr. in Engl.)

References

Atir-Sharon, T., Gilboa, A., Hazan, H., Koilis, E., Manevitz, L. M. (2015). Decoding the formation of new semantics: MVPA investigation of rapid neocortical plasticity during associative encoding through fast mapping. Neural Plastisity, 804385. https://doi.org/10.1155/2015/804385

Biederman, I., Rabinowitz, J. C., Glass, A. L., Stacy, E. W. (1974). On the information extracted from a glance at a scene. Journal of experimental psychology, 103 (3), 597–600. https://doi.org/10.1037/h0037158

Brady, K. W., Goodman, J. C. (2014). The type, but not the amount, of information available influences toddlers’ fast mapping and retention of new words. American Journal of Speech-Language Pathology, 23 (2), 120–133. https://doi.org/10.1044/2013_AJSLP-13-0013

Carey, S., Bartlett, E. (1978). Acquiring a single new word. Papers and Reports on Child Language Development, 15, 17–29.

Cooper, E., Greve, A., Henson, R. N. (2019). Investigating fast mapping task components: No evidence for the role of semantic referent nor semantic inference in healthy adults. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.00394

Corballis, M. (2009). The evolution of language. Annals of the New York Academy of Sciences, 1156, 19–43. https://doi.org/10.1111/j.1749-6632.2009.04423.x

Coutanche, M. N., Thompson-Schill, S. L. (2014). Fast mapping rapidly integrates information into existing memory networks. Journal of Experimental Psychology: General, 143 (6), 2296–2303. https://doi.org/10.1037/xge0000020

Davis, M. H., Gaskell, M. G. (2009). A complementary systems account of word learning: Neural and behavioural evidence. Philosophical Transactions of the Royal Society B: Biological Sciences, 364 (1536), 3773–3800. https://doi.org/10.1098/rstb.2009.0111

Dils, A. T., Boroditsky, L. (2010). Visual motion aftereffect from understanding motion language. Proceedings of the National Academy of Sciences, 107, 16396–16400. https://doi.org/10.1073/pnas.1009438107

Eliseeva, M. B., Vershinina, E. A. (2017). Gender features of speech and communicative development of children aged 8–18 months (based on the material of the Russian language). Acta Linguistica Petropolitana. Trudy instituta lingvisticheskikh issledovanii, 13 (3), 680–708. (In Russian)

Fennell, C. T., Waxman, S. R. (2010). What paradox? Referential cues allow for infant use of phonetic detail in word learning. Child Development, 81 (5), 1376–1383. https://doi.org/10.1111/j.1467-8624.2010.01479.x

Gilboa, A. (2019). Long-term fragility: Interference susceptibility may be an inherent characteristic of memory traces acquired through fast mapping. Cognitive Neuroscience, 10 (4), 218–220. https://doi.org/10.1080/17588928.2019.1593122

Goncharov, O. A., Knyazev, N. N. (2010). Linguistic determination of color perception in Russians and Komi. Psikhologicheskii zhurnal Mezhdunarodnogo universiteta prirody, obshchestva i cheloveka “Dubna”, 2. Available at: https://psyanima.su/journal/2010/2/2010n2a1/2010n2a1.pdf (accessed: 04.06.2022). (In Russian)

Greve, A., Cooper, E., Henson, R. N. (2014). No evidence that ‘fast-mapping’ benefits novel learning in healthy older adults. Neuropsychologia, 60, 52–59. https://doi.org/10.1016/j.neuropsychologia.2014.05.011

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. https://doi.org/10.1016/j.cogpsych.2006.04.003

Himmer, L., Müller, E., Gais, S., Schönauer, M. (2017). Sleep-mediated memory consolidation depends on the level of integration at encoding. Neurobiology of Learning and Memory, 137, 101–106. https://doi.org/10.1016/j.nlm.2016.11.019

Hochstein, S., Ahissar, M. (2002). View from the top: Hierarchies and reverse hierarchies in the visual system. Neuron, 36 (5), 791–804. https://doi.org/10.1016/s0896-6273(02)01091-7

Kahneman, D., Treisman, A. (1984). Changing views of attention and automaticity. In: Parasuraman R., Davies R. (eds). Varieties of attention (pp. 29–61). Orlando, Academic Press.

Kalashnikova, M., Escudero, P., Kidd, E. (2018). The development of fast‐mapping and novel word retention strategies in monolingual and bilingual infants. Developmental Science, 21 (6), e12674. https://doi.org/10.1111/desc.12674

Kaminski, J., Call, J., Fischer, J. (2004). Word learning in a domestic dog: Evidence for “fast mapping”. Science, 304 (5677), 1682–1683. https://doi.org/10.1126/science.1097859

Konopak, B., Sheard, C., Longman, D., Lyman, B., Slaton, E., Atkinson, R., Thames, D. (1987). Incidental versus intentional word learning from context. Reading Psychology: An International Quarterly, 8 (1), 7–21.

Kotov, A. A., Bogacheva, E. V., Vlasova, E. F. (2012а). Generalization of the meanings of new words by 4–6 year old children on the basis of dynamic features. Eksperimental’naia psikhologiia, 5 (1), 107–118. (In Russian)

Kotov, A. А., Kotova, T. N., Vlasova, Е. F., Agrba, L. B. (2012b). The effect of the category intention: How the mere presence of a word activates categorization. Voprosy psikholingvistiki, 16, 136–144. (In Russian)

Kotov, A. А., Kotova, T. N. (2013). Object name pronunciation and the categorizing effect of perception. Psikhologiia: zhurnal Vysshei shkoly ekonomiki, 3 (10), 75–85. (In Russian)

Li, C., Hu, Z., Yang, J. (2020). Rapid acquisition through fast mapping: stable memory over time and role of prior knowledge. Learning and Memory, 27 (5), 177–189. https://doi.org/10.1101/lm.050138.119

Lupyan, G. (2008a). From chair to “chair”: a representational shift account of object labeling effects on memory. Journal of experimental psychology. General, 137, 348–369. https://doi.org/10.1037/0096-3445.137.2.348

Lupyan, G. (2008b). The conceptual grouping effect: Categories matter (and named categories matter more). Cognition, 108, 566–577. https://doi.org/10.1016/j.cognition.2008.03.009

Lupyan, G. (2012). Linguistically modulated perception and cognition: the label-feedback hypothesis. Frontiers in Psychology, 3, 54. https://doi.org/10.3389/fpsyg.2012.00054

Lupyan, G., Rakison, D. H., McClelland, J. L. (2007). Language is not just for talking: Labels facilitate learning of novel categories. Psychological Science, 18, 1077–1082. https://doi.org/10.1111/j.1467-9280.2007.02028.x

Lupyan, G., Ward, E. J. (2013). Language can boost otherwise unseen objects into visual awareness. Proceedings of the National Academy of Sciences, 110 (35), 14196–14201. https://doi.org/10.1073/pnas.1303312110

Maier, M., Rahman, R. A. (2018). Native language promotes access to visual consciousness. Psychological Science, 29 (11), 1757–1772 https://doi.org/10.1177/0956797618782181

May, C. P., Hasher, L., Foong, N. (2005). Implicit memory, age, and time of day: paradoxical priming effects. Psychological Science, 16 (2), 96–100. https://doi.org/10.1111/j.0956-7976.2005.00788.x

Merhav, M., Karni, A., Gilboa, A. (2014). Neocortical catastrophic interference in healthy and amnesic adults: A paradoxical matter of time. Hippocampus, 24 (12), 1653–1662. https://doi.org/10.1002/hipo.22353

Meteyard, L., Bahrami, B., Vigliocco, G. (2007). Motion detection and motion verbs: Language affects low-level visual perception. Psychological Science, 18, 1007–1013. https://doi.org/10.1111/j.1467-9280.2007.02016.x

Morozov, M. I. (2017). How the strength of the link between an object and its category label influences visual search performance. The Russian Journal of Cognitive Science, 4 (4), 22–28.

Munro, N., Baker, E., McGregor, K., Docking, K., Arciuli, J. (2012). Why word learning is not fast. Frontiers in Psychology, 3, 41. https://doi.org/10.3389/fpsyg.2012.00041

Navon, D. (1977). Forest before trees. Cognitive Psychology, 9, 353–383.

Norman, K. A., O’Reilly, R. C. (2003). Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach. Psychological Review, 110, 611–646. https://doi.org/10.1037/0033-295X.110.4.611

Norman, D., Rumelhart, D. E. (1975). Explorations in cognition. San Francisco, Freeman.

Oliva, A., Torralba, A. (2001). Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision, 42 (3), 145–175. https://doi.org/10.1023/A:1011139631724

Perikova, E., Blagovechtchenski, E., Filippova, M., Shcherbakova, O., Kirsanov, A., Shtyrov, Y. (2022). An-odal tDCS over Broca’s area improves fast mapping and explicit encoding of novel vocabulary. Neuropsychologia, 168. https://doi.org/10.1016/j.neuropsychologia.2022.108156

Piaget, J. J. (1994). Speech and thinking of the child. Moscow, Pedagogika Publ. (In Russian)

Roberson, D., Hanley, J. R., Pak, H. S. (2009). Thresholds for colour discrimination in English and Korean speakers. Cognition, 112 (3), 482–487. https://doi.org/10.1016/j.cognition.2009.06.008

Shcherbakova, O. V., Kirsanov, A. S., Filippova, M. G., Perikova, E. I., Blagovechtchenski, E. E., Shtyrov, Y. Y. (2022). Explicit and implicit acquisition of new words: behavioral correlates and neurophysiological mechanisms. In: O. V. Shcherbakova (ed.). From the word to representation. Neurocognitive underpinnings of verbal learning (pp. 22–96). St Petersburg, Skifiia-print Publ. (In Russian)

Schmidt, C., Collette, F., Cajochen, C., Peigneux, P. (2007). A time to think: circadian rhythms in human cognition. Cognitive Neuropsychology, 24 (7), 755–789. https://doi.org/10.1080/02643290701754158

Sharon, T., Moscovitch, M., Gilboa, A. (2011). Rapid neocortical acquisition of long-term arbitrary associations independent of the hippocampus. Proceedings of the National Academy of Sciences, 108 (3), 1146–1151. https://doi.org/10.1073/pnas.1005238108

Schooler, J. W., Engstler-Schooler, T. Y. (1990). Verbal overshadowing of visual memories: Some things are better left unsaid. Cognitive Psychology, 22, 36–71. https://doi.org/10.1016/0010-0285(90)90003-M

Shtyrov, Y., Filippova, M., Blagovechtchenski, E., Kirsanov, A., Nikiforova, E., Shcherbakova, O. (2021). Electrophysiological evidence of dissociation between explicit encoding and fast mapping of novel spoken words. Frontiers in Psychology, 12, 571673. https://doi.org/10.3389/fpsyg.2021.571673

Shtyrov, Y., Filippova, M., Perikova, E., Kirsanov, A., Shcherbakova, O., Blagovechtchenski, E. (2022). Explicit encoding vs. fast mapping of novel spoken words: Electrophysiological and behavioural evidence of diverging mechanisms. Neuropsychologia, 172, 108268. https://doi.org/10.1016/j.neuropsychologia.2022.108268

Shtyrov, Y., Kirsanov, A., Shcherbakova, O. (2019). Explicitly slow, implicitly fast, or the other way around? Brain mechanisms for word acquisition. Frontiers in Human Neuroscience, 13, 116. https://doi.org/10.3389/fnhum.2019.00116

Smith, C. N., Urgolites, Z. J., Hopkins, R. O., Squire, L. R. (2014). Comparison of explicit and incidental learning strategies in memory-impaired patients. Proceedings of the National Academy of Sciences, 111 (1), 475–479. https://doi.org/10.1073/pnas.1322263111

Snodgrass, J. G., Corwin, J. (1988). Perceptual identification thresholds for 150 fragmented pictures from the Snodgrass and Vanderwart picture set. Perceptual and Motor Skills, 67 (1), 3–36. https://doi.org/10.2466/pms.1988.67.1.3

Souza, A. S., Overkott, C., Matyja, M. (2021). Categorical distinctiveness constrains the labeling benefit in visual working memory. Journal of Memory and Language, 119, 104242. https://doi.org/10.1016/j.jml.2021.104242

Thierry, G., Athanasopoulos, P., Wiggett, A., Dering, B., Kuipers, J.-R. (2009). Unconscious effects of language-specific terminology on preattentive color perception. Proceedings of the National Academy of Sciences, 106, 4567–4570. https://doi.org/10.1073/pnas.0811155106

Ting Siok, W., Kay, P., Wang, W. S. Y., Chan, A. H. D., Chen, L., Luke, K.-K., Hai Tan, L. (2009). Language regions of brain are operative in color perception. Proceedings of the National Academy of Sciences, 106 (20), 8140–8145. https://doi.org/10.1073/pnas.0903627106

Vekker, L. M. (1998). Psyche and reality: a unified theory of mental processes. Moscow: Smysl Publ. (In Russian)

Vygotsky, L. V. (2019). Thinking and Speech: Psychological research. Moscow: Natsional’noe obrazovanie Publ. (In Russian)

Warren, D. E., Duff, M. C. (2014). Not so fast: Hippocampal amnesia slows word learning despite successful fast mapping. Hippocampus, 24 (8), 920–953. https://doi.org/10.1002/hipo.22279

Warren, D. E., Tranel, D., Duff, M. C. (2016). Impaired acquisition of new words after left temporal lobectomy despite normal fast-mapping behavior. Neuropsychologia, 80, 165–175. https://doi.org/10.1016/j.neuropsychologia.2015.11.016

Whorf, B. L. (1960). The relation of habitual thought and behavior to language. In: V. A. Zvegintsev (ed.). Novoe v lingvistike (pp. 157–201). Moscow, Izd-vo inostrannoi literatury Publ. (In Russian)

Winawer, J., Witthoft, N., Frank, M. C., Wu, L., Wade, A. R., Boroditsky, L. (2007). Russian blues reveal effects of language on color discrimination. Proceedings of the National Academy of Sciences of the USA, 104 (19), 7780–7785. https://doi.org/10.1073/pnas.0701644104

Zaiser, A. K., Bader, R., Meyer, P. (2022a). High feature overlap reveals the importance of anterior and medial temporal lobe structures for learning by means of fast mapping. Cortex, 146, 74–88. https://doi.org/10.1016/j.cortex.2021.07.017

Zaiser, A. K., Meyer, P., Bader, R. (2022b). High feature overlap and incidental encoding drive rapid semantic integration in the fast mapping paradigm. Journal of Experimental Psychology: General, 151 (1), 97–120. https://doi.org/10.1037/xge0001070

Information About the Authors

Daria S. Gnedykh, PhD in Psychology, St. Petersburg State University, St.Petersburg, Russia, ORCID: https://orcid.org/0000-0003-4955-4779, e-mail: m.g.filippova@spbu.ru

Margarita G. Filippova, PhD in Psychology, St Petersburg State University,, St.Petersburg, Russia, e-mail: m.g.filippova@spbu.ru

Daria N. Makarova, Russia, e-mail: d.makarova23@gmail.com

Ekaterina I. Perikova, PhD in Psychology, Senior Research Scientist, Laboratory of Behavioural Neurodynamics, Saint Petersburg State University, St.Petersburg, Russia, ORCID: https://orcid.org/0000-0001-9156-9603, e-mail: chikurovaEI@gmail.com

Metrics

Views

Total: 76
Previous month: 5
Current month: 3

Downloads

Total: 37
Previous month: 3
Current month: 3