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Different phonological mechanisms facilitate vocabulary learning at early and late stages of language acquisition: Evidence from Polish 9-year-olds learning English

Published online by Cambridge University Press:  30 October 2017

MARTA MARECKA ,
JAKUB SZEWCZYK Open the ORCID record for JAKUB SZEWCZYK [Opens in a new window] ,
ANNA JELEC ,
DONATA JANISZEWSKA ,
KAROLINA RATAJ  and
KATARZYNA DZIUBALSKA-KOŁACZYK
MARTA MARECKA*
Affiliation:
Jagiellonian University, Kraków, and Adam Mickiewicz University, Poznań
JAKUB SZEWCZYK
Affiliation:
Jagiellonian University, Kraków
ANNA JELEC
Affiliation:
Adam Mickiewicz University, Poznań
DONATA JANISZEWSKA
Affiliation:
Adam Mickiewicz University, Poznań
KAROLINA RATAJ
Affiliation:
Adam Mickiewicz University, Poznań
KATARZYNA DZIUBALSKA-KOŁACZYK
Affiliation:
Adam Mickiewicz University, Poznań
*
ADDRESS FOR CORRESPONDENCE Marta Marecka, Institute of Psychology, Jagiellonian University, Ingardena 6, 30-060 Kraków, Poland. E-mail: marta.t.marecka@gmail.com
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Abstract

To acquire a new word, learners need to create its representation in phonological short-term memory (STM) and then encode it in their long-term memory. Two strategies can enable word representation in STM: universal segmentation and phonological mapping. Universal segmentation is language universal and thus should predict word learning in any language, while phonological mapping is language specific. This study investigates the mechanisms of vocabulary learning through a comparison of vocabulary learning task results in multiple languages. We tested 44 Polish third graders learning English on phonological STM, phonological awareness in Polish and in English, and on three tasks, which involved learning novel word forms in Polish (first language), in English (second language), and in a language that did not resemble any language known to participants (an unknown language). Participants’ English proficiency was controlled through a vocabulary task. The results suggest that word learning engages different mechanisms for familiar and unfamiliar languages. Phonological awareness in English predicted learning second language and unknown language words, and phonological STM predicted learning words of the unknown language. We propose that universal segmentation facilitates word learning only in an unfamiliar language, while in familiar languages speakers use phonological mapping in order to learn new words.

Keywords

phonological representationsphonological short-term memorysecond language acquisitionsegmentationvocabulary and word learning
Type
Articles
Information
Applied Psycholinguistics , Volume 39 , Issue 1 , January 2018 , pp. 1 - 35
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Copyright
Copyright © Cambridge University Press 2017 

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References

REFERENCES

Anderson, S. R. (1985). Phonology in the twentieth century. Chicago: University of Chicago Press.Google Scholar
Baddeley, A. D. (2007). Working memory, thought, and action. Oxford: Oxford University Press.Google Scholar
Baddeley, A. D., Gathercole, S. E., & Papagno, C. (1998). The phonological loop as a language learning device. Psychological Review, 105, 158–173.CrossRefGoogle ScholarPubMed
Baddeley, A. D., & Hitch, G. J. (1975). Working memory. In Bower, G. H. (Ed.), The psychology of learning and motivation (Vol. 8, pp. 47–90). New York: Academic Press.Google Scholar
Baddeley, A. D., Papagno, C., & Vallar, G. (1988). When long-term learning depends on short-term storage. Journal of Memory and Language, 27, 586–595.Google Scholar
Bogdanowicz, M. (2009). Nieznany Język. Dysleksja 3. Warsaw: Pracownia Testów Psychologicznych.Google Scholar
Bogdanowicz, M., Jaworowska, A., Krasowicz-Kupis, G., Matczak, A., Pelc-Pekala, O., Pietras, I., . . . Szczerbinski, M. (2009). Dysleksja 3. Warsaw: Pracownia Testów Psychologicznych.Google Scholar
Bowey, J. A. (1996). On the association between phonological memory and receptive vocabulary in five-year-olds. Journal of Experimental Child Psychology, 63, 44–78.CrossRefGoogle ScholarPubMed
Bowey, J. A. (2001). Nonword repetition and young children's receptive vocabulary: A longitudinal study. Applied Psycholinguistics, 22, 441–469.CrossRefGoogle Scholar
Caplan, D., & Waters, G. S. (1995). On the nature of the phonological output planning processes involved in verbal rehearsal: Evidence from aphasia. Brain and Language, 48, 191–220.Google Scholar
Carroll, S. E. (2004). Segmentation: Learning how to “hear words” in the L2 speech stream. Transactions of the Philological Society, 102, 227–254.Google Scholar
Čeponienė, R., Service, E., Kurjenluoma, S., Cheour, M., & Näätänen, R. (1999). Children's performance on nonword repetition depends on auditory trace quality: Evidence from event-related potentials. Developmental Psychology, 35, 709–720.Google Scholar
Cheung, H. (1996). Nonword span as a unique predictor of second-language vocabulary language. Developmental Psychology, 32, 867–873.CrossRefGoogle Scholar
Cutler, A. (1990). Exploiting prosodic probabilities in speech segmentation. In Altmann, G. T. M. (Ed.), Cognitive models of speech processing: Psycholinguistic and computational perspectives (pp. 105–121). Cambridge, MA: MIT Press.Google Scholar
Cutler, A. (2008). The abstract representations in speech processing. Quarterly Journal of Experimental Psychology, 61, 1601–1619.CrossRefGoogle ScholarPubMed
Dahan, D., & Magnuson, J. S. (2006). Spoken word recognition. In Traxler, M. J. & Gernsbacher, M. A. (Eds.), Handbook of psycholinguistics (2nd ed., pp. 249–284). London: Elsevier/Academic Press.CrossRefGoogle Scholar
Davies, M. (2010). The corpus of contemporary American English as the first reliable monitor corpus of English. Literary and Linguistic Computing, 25, 447–464.Google Scholar
Davis, M. H., & Gaskell, M. G. (2009). A complementary systems account of word learning: Neural and behavioural evidence. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364, 3773–3800.CrossRefGoogle ScholarPubMed
de Jong, P. F., Seveke, M.-J. E. J., & van Veen, M. (2000). Phonological sensitivity and the acquisition of new words in children. Journal of Experimental Child Psychology, 76, 275–301.Google Scholar
Dziubalska-Kołaczyk, K., Zydorowicz, P., & Jankowski, M. (2013). English morphonotactics: A corpus study. Phonetician, 107–108, 53–67.Google Scholar
Eiter, B. M., & Inhoff, A. W. (2010). Visual word recognition during reading is followed by subvocal articulation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 457–470.Google Scholar
Ellis, N. C., & Hennelly, R. A. (1980). A bilingual word-length effect: Implications for intelligence testing and the relative ease of mental calculation in Welsh and English. British Journal of Psychology, 71, 43–51.Google Scholar
Elman, J. L., & McClelland, J. L. (1984). The trace model of speech perception. Cognitive Psychology, 18, 1–83.Google Scholar
Endress, A. D., & Hauser, M. D. (2010). Word segmentation with universal prosodic cues. Cognitive Psychology, 61, 177–199.Google Scholar
Farnia, F., & Geva, E. (2011). Cognitive correlates of vocabulary growth in English language learners. Applied Psycholinguistics, 32, 711–738.CrossRefGoogle Scholar
French, L. M. (2006). Phonological working memory and second language acquisition: A developmental study of Francophone children learning English in Quebec. Lewiston, NY: Edwin Mellen Press.Google Scholar
Gathercole, S. E. (1995). Is nonword repetition a test of phonological memory or long-term knowledge? It all depends on the nonwords. Memory & Cognition, 23, 83–94.Google Scholar
Gathercole, S. E. (2006). Nonword repetition and word learning: The nature of the relationship. Applied Psycholinguistics, 27, 513–543.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1989). Evaluation of the role of phonological STM in the development of vocabulary in children: A longitudinal study. Journal of Memory and Language, 28, 200–213.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1990). The role of phonological memory in vocabulary acquisition: A study of young children learning new names. British Journal of Psychology, 81, 439–454.Google Scholar
Gathercole, S. E., Hitch, G. J., Service, E., & Martin, A. J. (1997). Phonological short-term memory and new word learning in children. Developmental Psychology, 33, 966–979.Google Scholar
Gathercole, S. E., & Masoura, E. V. (2003). Contrasting contributions of phonological short-term memory and long-term knowledge to vocabulary learning in a foreign language. Memory, 13, 422–429.Google Scholar
Gathercole, S. E., Tiffany, C., Briscoe, J., Thorn, A., & ALSPAC Team. (2005). Developmental consequences of poor phonological short-term memory function in childhood: A longitudinal study. Journal of Child Psychology and Psychiatry, 46, 598–611.Google Scholar
Gathercole, S. E., Willis, C. S., Baddeley, A. D., & Emslie, H. (1994). The Children's Test of Nonword Repetition: A test of phonological working memory. Memory, 2, 103–127.CrossRefGoogle ScholarPubMed
Gathercole, S. E., Willis, C. S., Emslie, H., & Baddeley, A. D. (1992). Phonological memory and vocabulary development during the early school years: A longitudinal study. Developmental Psychology, 28, 887–898.Google Scholar
Gorman, B. K. (2012). Relationships between vocabulary size, working memory, and phonological awareness in Spanish-speaking English language learners. American Journal of Speech-Language, 21, 109–123.Google Scholar
Goswami, U., Thomson, J., Richardson, U., Stainthorp, R., Hughes, D., Rosen, S., & Scott, S. K. (2002). Amplitude envelope onsets and developmental dyslexia: A new hypothesis. Proceedings of the National Academy of Sciences, 99, 10911–10916.Google Scholar
Goswami, U., Wang, H. L. S., Cruz, A., Fosker, T., Mead, N., & Huss, M. (2011). Language-universal sensory deficits in developmental dyslexia: English, Spanish, and Chinese. Journal of Cognitive Neuroscience, 23, 325–337.Google Scholar
Gow, D. W. Jr., & Gordon, P. C. (1995). Lexical and prelexical influences on word segmentation: Evidence from priming. Journal of Experimental Psychology: Human Perception and Performance, 21, 344–359.Google Scholar
Hu, C.-F. (2003). Phonological memory, phonological awareness, and foreign language word learning. Language Learning, 53, 429–462.Google Scholar
Hu, C.-F. (2008). Rate of acquiring and processing L2 color words in relation to L1 phonological awareness. Modern Language Journal, 92, 39–52.Google Scholar
Hu, C.-F., & Schuele, C. M. (2005). Learning nonnative names: The effect of poor native phonological awareness. Applied Psycholinguistics, 26, 343–362.Google Scholar
Jones, G. (2011). A computational simulation of children's performance across three nonword repetition tests. Cognitive Systems Research, 12, 113–121.Google Scholar
Jones, G. (2012). Why chunking should be considered as an explanation for developmental change before short-term memory capacity and processing speed. Cognitive Science, 3, 167.Google Scholar
Jones, G., Gobet, F., Freudenthal, D., Watson, S. E., & Pine, J. M. (2013). Why computational models are better than verbal theories: The case of nonword repetition. Developmental Science, 17, 298–310.CrossRefGoogle ScholarPubMed
Jones, G., Gobet, F., & Pine, J. M. (2007). Linking working memory and long-term memory: A computational model of the learning of new words. Developmental Science, 10, 853–873.CrossRefGoogle ScholarPubMed
Jones, G., & Witherstone, H. L. (2011). Lexical and sublexical knowledge influences the encoding, storage, and articulation of nonwords. Memory & Cognition, 39, 588–599.Google Scholar
Larsen, J. D., & Baddeley, A. D. (2003). Disruption of verbal STM by irrelevant speech, articulatory suppression, and manual tapping: Do they have a common source? Quarterly Journal of Experimental Psychology Section A, 56, 1249–1268.Google Scholar
Lee, S., & Gorman, B. K. (2013). Nonword repetition performance and related factors in children representing four linguistic groups. International Journal of Bilingualism, 17, 479–495.Google Scholar
Lumley, T., & Miller, A. (2004). Leaps: Regression subset selection (R Package version). Vienna, Austria: R Foundation.Google Scholar
Martin, N. A., & Brownell, R. (2010). Expressive One-Word Picture Vocabulary Test (4th ed.). Austin, TX: Pro-Ed.Google Scholar
Masoura, E. V., & Gathercole, S. E. (1999). Phonological short-term memory and foreign language learning. International Journal of Psychology, 34, 383–388.Google Scholar
Matczak, A., Piotrowska, A., & Ciarkowska, W. (2008). WISC-R—Skala Inteligencji Wechslera dla Dzieci—Wersja Zmodyfikowana. Warsaw: Pracownia Testów Psychologicznych.Google Scholar
Mcanally, K. I., & Stein, J. F. (1996). Auditory temporal coding in dyslexia. Proceedings of the Royal Society B: Biological Sciences, 263, 961–965.Google Scholar
Melby-Lervåg, M., Lervåg, A., Lyster, S.-A. H., Klem, M., Hagtvet, B., & Hulme, C. (2012). Nonword-repetition ability does not appear to be a causal influence on children's vocabulary development. Psychological Science, 23, 1092–1098.Google Scholar
Metsala, J. L. (1999). Young children's phonological awareness and nonword repetition as a function of vocabulary development. Journal of Educational Psychology, 91, 3–19.Google Scholar
Mirman, D., Magnuson, J. S., Estes, K. G., & Dixon, J. A. (2008). The link between statistical segmentation and word learning in adults. Cognition, 108, 271–280.Google Scholar
Mitton, R. (1992). A description of a computer-usable dictionary file based on the Oxford Advanced Learner's Dictionary of Current English. Retrieved from ftp://svr-ftp.eng.cam.ac.uk/pub/comp.speech/info/CUVOALD_dictionary Google Scholar
Norris, D., & Cutler, A. (1985). Juncture detection. Linguistics, 23, 689–705.Google Scholar
Norris, D., & McQueen, J. M. (2008). Shortlist B: A Bayesian model of continuous speech recognition. Psychological Review, 115, 357–395.Google Scholar
Papagno, C., & Vallar, G. (1995). Verbal short-term memory and vocabulary learning in polyglots. Quarterly Journal of Experimental Psychology Section A, 48, 98–107.CrossRefGoogle ScholarPubMed
Port, R. (2007). How are words stored in memory? Beyond phones and phonemes. New Ideas in Psychology, 25, 143–170.Google Scholar
Port, R. F. (2008). The graphical basis of phones and phonemes. In Bohn, O.-S. & Munro, M. J. (Eds.), Language experience in second language speech learning (pp. 349–365). Amsterdam: John Benjamins.Google Scholar
Przepiórkowski, A., Bańko, M., Górski, R. L., & Lewandowska-Tomaszczyk, B. (2012). Norodowy korpus języka polskiego. Warsaw: Wydawnictwo Naukowe PWN.Google Scholar
Ramachandra, V., Hewitt, L. E., & Brackenbury, T. (2011). The relationship between phonological memory, phonological sensitivity, and incidental word learning. Journal of Psycholinguistic Research, 40, 93–109.Google Scholar
Raven, J. C., Szustrowa, T., & Jaworowska, A. (2003). Test Matryc Ravena w Wersji Kolorowej (TMK). Warsaw: Pracownia Testów Psychologicznych.Google Scholar
Read, C., Yun-Fei, Z., Hong-Yin, N., & Bao-Qing, D. (1986). The ability to manipulate speech sounds depends on knowing alphabetic writing. Cognition, 24, 31–44.Google Scholar
Repovs, G., & Baddeley, A. D. (2006). The multi-component model of working memory: Explorations in experimental cognitive psychology. Neuroscience, 139, 5–21.Google Scholar
Richardson, U., Thomson, J. M., Scott, S. K., & Goswami, U. (2004). Auditory processing skills and phonological representation in dyslexic children. Dyslexia, 10, 215–233.Google Scholar
Selkirk, E. O. E., Aronoff, M., & Oehrle, R. T. (1984). On the major class features and syllable theory. In Aronoff, M. & Oehrle, R. T. (Eds.), Language sound structure (pp. 107–136). Cambridge, MA: MIT Press.Google Scholar
Service, E. (1992). Phonology, working memory, and foreign-language learning. Quarterly Journal of Experimental Psychology Section A, 45, 21–50.Google Scholar
Service, E., & Craik, F. I. M. (1993). Differences between young and older adults in learning a foreign vocabulary. Journal of Memory and Language, 32, 608–623.Google Scholar
Service, E., & Kohonen, V. (1995). Is the relation between phonological memory and foreign language learning accounted for by vocabulary acquisition? Applied Psycholinguistics, 16, 155–172.Google Scholar
Service, E., Maury, S., & Luotoniemi, E. (2007). Individual differences in phonological learning and verbal STM span. Memory & Cognition, 35, 1122–1135.Google Scholar
Shebani, M. F., Van De Vijver, F. J., & Poortinga, Y. H. (2005). A strict test of the phonological loop hypothesis with Libyan data. Memory & Cognition, 33, 196–202.Google Scholar
Snowling, M., Chiat, S., & Hulme, C. (1991). Words, nonwords, and phonological processes: Some comments on Gathercole, Willis, Emslie, and Baddeley. Applied Psycholinguistics, 12, 369–373.Google Scholar
Sobkowiak, W. (2006). Phonetics of EFL dictionary definitions. Poznań, Poland: Wydawnictwo Poznańskie.Google Scholar
Storkel, H. L. (2001). Learning new words: Phonotactic probability in language development. Journal of Speech, Language, and Hearing Research, 44, 1321–1337.CrossRefGoogle ScholarPubMed
Storkel, H. L. (2003). Learning new words: II. Phonotactic probability in verb learning. Journal of Speech, Language, and Hearing Research, 46, 1312–1323.Google Scholar
Storkel, H. L., Armbrüster, J., & Hogan, T. P. (2006). Differentiating phonotactic probability and neighborhood density in adult word learning. Journal of Speech, Language, and Hearing Research, 49, 1175–1192.Google Scholar
Storkel, H. L., & Rogers, M. A. (2000). The effect of probabilistic phonotactics on lexical acquisition. Clinical Linguistics & Phonetics, 14, 407–425.Google Scholar
Szczerbiński, M., & Pelc-Pękała, O. (2009). Usuwanie Fonemów dla klasy III. Dysleksja 3. Warsaw: Pracownia Testów Psychologicznych.Google Scholar
Szewczyk, J., Marecka, M., Chiat, S., & Wodniecka, Z. (2017). Nonword repetition depends on the frequency of sublexical representations at different grain sizes: Evidence from a multi-factorial analysis. Manuscript submitted for publication.Google Scholar
Talcott, J. B., Witton, C., Hebb, G. S., Stoodley, C. J., Westwood, E. A., France, S. J., . . . Stein, J. F. (2002). On the relationship between dynamic visual and auditory processing and literacy skills; results from a large primary-school study. Dyslexia, 8, 204–225.Google Scholar
Wagner, R. K., Torgesen, J. K., Rashotte, C. A., & Pearson, N. A. (2013). Comprehensive Test of Phonological Processing (2nd ed.). Austin, TX: Pro-Ed.Google Scholar
Windfuhr, K. L., & Snowling, M. J. (2001). The relationship between paired associate learning and phonological skills in normally developing readers. Journal of Experimental Child Psychology, 80, 160–173.Google Scholar
Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia, and skilled reading across languages: A psycholinguistic grain size theory. Psychological Bulletin, 131, 3–29.Google Scholar