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Harmonic cues for speech segmentation: a cross-linguistic corpus study on child-directed speech*

Published online by Cambridge University Press:  21 February 2013

F. NIHAN KETREZ
F. NIHAN KETREZ*
Affiliation:
Istanbul Bilgi University
*
Address for correspondence: Istanbul Bilgi University, Department of English Language Teacher Education, Eyüp, İstanbul 34060, Turkey. e-mail: [email protected]
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Abstract

Previous studies on the role of vowel harmony in word segmentation are based on artificial languages where harmonic cues reliably signal word boundaries. In this corpus study run on the data available at CHILDES, we investigated whether natural languages provide a learner with reliable segmentation cues similar to the ones created artificially. We observed that in harmonic languages (child-directed speech to thirty-five Turkish and three Hungarian children), but not in non-harmonic ones (child-directed speech to one Farsi and four Polish children), harmonic vowel sequences are more likely to appear within words, and non-harmonic ones mostly appear across word boundaries, suggesting that natural harmonic languages provide a learner with regular cues that could potentially be used for word segmentation along with other cues.

Type
Brief Research Reports
Information
Journal of Child Language , Volume 41 , Issue 2 , March 2014 , pp. 439 - 461
Copyright
Copyright © Cambridge University Press 2013 

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Footnotes

[*]

I would like to thank W. U. Dressler, Fereshteh Kowssar, Agnieszka Lazorczyk, and Shadi Ganjavi for their help with Hungarian, Polish, and Farsi data, and Bariş Kabak, Toben H. Mintz, Andrew Nevins, Charles Yang, and two anonymous reviewers for their comments and suggestions on various versions of this study.

References

REFERENCES

Abondolo, D. (1987). Hungarian. In Comrie, B. (ed.), The world's major languages, 577–92. Oxford: Oxford University Press.Google Scholar
Aksu-Koç, A. & Ketrez, F. N. (2003). Early verbal morphology in Turkish: emergence of inflections. In Bittner, D., Dressler, W. U. & Kilani-Schoch, M. (eds.), Mini-paradigms and the emergence of verb morphology, 27–52. Berlin: Mouton de Gruyter.Google Scholar
Aslin, R. N., Saffran, J. R. & Newport, E. L. (1998). Computation of probability statistics by 8-month-old infants. Psychological Science 9, 321–24.Google Scholar
Brent, M. R. & Cartwright, T. A. (1996). Distributional regularity and phonotactic constraints are useful for segmentation. Cognition 61, 93–125.Google Scholar
Cairns, P., Shillcock, R., Chater, N. & Levy, J. (1997). Bootstrapping word boundaries: speech and statistical cues. A bottom-up corpus-based approach to speech segmentation. Cognitive Psychology 33, 111–53.Google Scholar
Clements, G. N. & Sezer, E. (1982). Vowel and consonant disharmony in Turkish. In van der Hulst, H. & Smith, N. (eds.), The structure of phonological representations (Part 2), 213–55. Dordrecht: Foris Publications.Google Scholar
Cole, R. & Jakimik, J. (1980). A model of speech perception. In Cole, R. (ed.), Perception and production of fluent speech, 136–63. Hillsdale, NJ: Erlbaum.Google Scholar
Curtin, S., Mintz, T. & Christiansen, M. (2005). Stress changes the representational landscape: evidence from word segmentation. Cognition 97(3), 233–62.Google Scholar
Cutler, A. & Norris, D. G. (1988). The role of strong syllables in segmentation for lexical access. Journal of Experimental Psychology: Human Perception & Performance 14, 113–21.Google Scholar
Demircan, Ö. (1996). Türkçenin Sesdizimi. Istanbul: Der Yayınevi.Google Scholar
Family, N. (2009). Lighten up: the acquisition of light verb constructions in Persian. Boston University Conference on Language Development Proceedings 33, 139–50. Somerville, MA: Cascadilla Press.Google Scholar
Jassem, W. (2003). Polish. Journal of the International Phonetic Association 33(1), 103–107.Google Scholar
Jusczyk, P. W. (1997). The discovery of spoken language. Cambridge, MA: MIT Press.Google Scholar
Jusczyk, P. W. (1999). How infants begin to extract words from fluent speech. Trends in Cognitive Science 3, 323–28.Google Scholar
Jusczyk, P. W., Houston, D. M. & Newsome, M. (1999). The beginnings of word segmentation in English-learning infants. Cognitive Psychology 39, 159–207.Google Scholar
Kabak, B., Maniwa, K. & Kazanina, N. (2010). Listeners use vowel harmony and word-final stress to spot nonsense words: a study of Turkish and French. Journal of Laboratory Phonology 1, 207–224.Google Scholar
van Kampen, A., Parmaksiz, G., van de Vijver, R. & Höhle, B. (2008). Metrical and statistical cues for word segmentation: vowel harmony and word stress as cues to word boundaries by 6- and 9-month-old Turkish learners. In Gavarró, A. & Freitas, M. J. (eds.), Language acquisition and development, 313–24. Newcastle: Cambridge Scholars Publishing.Google Scholar
MacWhinney, B. (1974). How Hungarian children learn to speak. Unpublished doctoral dissertation, University of California, Berkeley.Google Scholar
Mattys, S. L., Jusczyk, P. W., Luce, P. A. & Morgan, J. L. (1999). Word segmentation in infants: how phonotactics and prosody combine. Cognitive Psychology 38, 465–94.CrossRefGoogle Scholar
Mintz, T. and Walker, R. (2006). Infant's sensitivity to vowel harmony and its role in word segmentation. Paper presented at the annual meeting of the Linguistic Society of America, Albuquerque, NM, 7 January 2006.Google Scholar
Morgan, J. L. (1996). A rhythmic bias in preverbal speech segmentation. Journal of Memory and Language 35, 666–88.CrossRefGoogle Scholar
Newport, L. N. and Aslin, R. N. (2004). Learning at a distance: statistical learning of non-adjacent dependencies. Cognitive Psychology 48, 127–62.Google Scholar
Rodd, J. (1997). Recurrent neural-network learning of phonological regularities in Turkish. In Ellison, T. M. (ed.), CoNLL97: Computational Natural Language Learning, 97–106. Somerset, NJ: Association of Computational Linguistics.Google Scholar
Saffran, J R., Newport, E. & Aslin, R. (1996). Word segmentation: the role of distributional cues. Journal of Memory and Language 35, 606–621.Google Scholar
Slobin, D. (1982). Universal and particular in the acquisition of language. In Wanner, E. & Gleitman, L. (eds.), Language acquisition: the state of the art, 128–72. New York: Cambridge University Press.Google Scholar
Stone, G. (1987). Polish. In Comrie, B. (ed.), The world's major languages, 348–66. Oxford: Oxford University Press.Google Scholar
Suomi, K., McQueen, J. M. & Cutler, A. (1997). Vowel harmony and speech segmentation in Finnish. Journal of Memory and Language 36, 422–44.Google Scholar
Thiessen, E. D. & Saffran, J. R. (2003). When cues collide: use of stress and statistical cues to word boundaries by 7–9-month-old infants. Developmental Psychology 39(4), 706–716.Google Scholar
Vroomen, J., Tuomainen, J. & Gelder, B. (1998). The roles of word stress and vowel harmony in speech segmentation. Journal of Memory and Language 38, 133–49.Google Scholar
Weist, R., & Witkowska-Stadnik, K. (1986). Basic relations in child language and the word order myth. International Journal of Psychology 21, 363–81.Google Scholar
Weist, R., Wysocka, H., Witkowska-Stadnik, K., Buczowska, E. & Konieczna, E. (1984). The defective tense hypothesis: on the emergence of tense and aspect in child Polish. Journal of Child Language 11, 347–74.Google Scholar
Yang, C. D. (2004). Universal Grammar, statistics, or both. Trends in Cognitive Sciences 8, 451–56.Google Scholar