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How to measure development in corpora? An association strength approach*

Published online by Cambridge University Press:  16 February 2009

SABINE STOLL  and
STEFAN TH. GRIES
SABINE STOLL*
Affiliation:
Max Planck Institute for Evolutionary Anthropology, Leipzig
STEFAN TH. GRIES
Affiliation:
University of California, Santa Barbara
*
Address for correspondence: Sabine Stoll, Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. e-mail: [email protected]
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Abstract

In this paper we propose a method for characterizing development in large longitudinal corpora. The method has the following three features: (i) it suggests how to represent development without assuming predefined stages; (ii) it includes caregiver speech/child-directed speech; (iii) it uses statistical association measures for investigating co-occurrence data. We exemplify the implementation of these proposals with data on the acquisition of the patterning of tense and grammatical aspect of four Russian children. The method, however, is suitable for a wide range of other acquisition questions as well.

Type
Articles
Information
Journal of Child Language , Volume 36 , Issue 5 , November 2009 , pp. 1075 - 1090
Copyright
Copyright © 2009 Cambridge University Press

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Footnotes

[*]

This paper was mainly written during the second author's stays at the Max Planck Institute for Evolutionary Anthropology. We warmly thank Elena Lieven, Michael Tomasello and Bernard Comrie for providing such a stimulating and fascinating work environment. We thank Roland Meyer, who has done a wonderful job in developing a morphological tagger for Russian, and Tatjana Welikanowa and Madelaine Taoubi for help with coding. We are grateful to Balthasar Bickel, Elena Lieven and two anonymous reviewers for valuable comments.

References

REFERENCES

Aksu-Koç, A. (1998). The role of input vs. universal predispositions in the emergence of tense–aspect morphology: Evidence from Turkish. First Language 18, 255–80.CrossRefGoogle Scholar
Baayen, R. H. (2004). Statistics in psycholinguistics: A critique of some current gold standards. Mental Lexicon Working Papers 1, 1–45.Google Scholar
Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Bloom, L., Lifter, K. & Hafitz, J. (1980). Semantics of verbs and the development of verb inflection in child language. Language 56, 386–412.Google Scholar
Bortz, J., Lienert, G. A. & Boehnke, K. (1990). Verteilungsfreie Methoden in der Biostatistik. Berlin: Springer.CrossRefGoogle Scholar
Brown, R. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Chertkova, M. I. (1996). Grammaticheskaia kategoriia vida v sovremennom russkom iazyke. Moscow: Izd-vo Moskovskogo universiteta [Moscow University Press].Google Scholar
Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74, 829–36.CrossRefGoogle Scholar
Crawley, M. J. (2002). Statistical computing: An introduction to data analysis using S-Plus. Chichester: John Wiley and Sons.Google Scholar
Forsyth, J. (1970). A grammar of aspect: Usage and meaning of the Russian verb. Cambridge: Cambridge University Press.Google Scholar
Gries, St. Th. & Stoll, S. (to appear). Finding developmental groups in acquisition data: Variability-based neighbor clustering. Journal of Quantitative Linguistics.Google Scholar
Li, P. (2002). Loglinear models for the analysis of language acquisition data. Cognitive Science 3, 27–41.Google Scholar
Li, P., Maher, S., Newmark, E. & Hurley, J. (2001). The role of parental input in the acquisition of tense–aspect morphology. Journal of Cognitive Science 2, 119–43.Google Scholar
Li, P. & Shirai, Y. (2000). The acquisition of lexical and grammatical aspect. Berlin/New York: Mouton de Gruyter.CrossRefGoogle Scholar
Meyer, R. (2003). Halbautomatische morphosyntaktische Annotation russischer Texte. In Hammel, R. & Geist, L. (eds) Linguistische Beiträge zur Slavistik aus Deutschland und Österreich. X. JungslavistInnen-Treffen, Berlin 2001, 92–105. München: Sagner.Google Scholar
R Development Core Team. (2006). R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna. www.R-project.org.Google Scholar
Shirai, Y. & Andersen, R. W. (1995). The acquisition of tense–aspect morphology: A prototype account. Language 71, 743–62.CrossRefGoogle Scholar
Shirai, Y., Slobin, D. I. & Weist, R. M. (1998). Introduction. In Shirai, Y. Slobin, D. I. & Weist, R. M. (eds) The acquisition of tense–aspect morphology (Special Issue of First Language, vol. 18), 245–54. Buckinghamshire: Alpha Academic.Google Scholar
Stephany, U. (1985). Aspekt, Tempus und Modalität. Zur Entwicklung der Verbalgrammatik in der Neugriechischen Kindersprache. Tübingen: Narr.Google Scholar
Stoll, S. (unpubl. data). A corpus of Russian first language acquisition.Google Scholar
Weist, R. M. (2002). The first language acquisition of tense and aspect. In Salaberry, R. & Shirai, Y. (eds) The L2 acquisition of tense–aspect morphology 21–78. Amsterdam, Philadelphia: John Benjamin.CrossRefGoogle Scholar
Weist, R. M., Pawlak, A. & Carapella, J. (2004). Syntactic–semantic interface in the acquisition of verb morphology, Journal of Child Language 31, 31–60.CrossRefGoogle ScholarPubMed