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Cross-linguistic differences in prosodic cues to syntactic disambiguation in German and English

Published online by Cambridge University Press:  10 August 2012

MARY GRANTHAM O'BRIEN*
Affiliation:
University of Calgary
CARRIE N. JACKSON
Affiliation:
Pennsylvania State University
CHRISTINE E. GARDNER
Affiliation:
Pennsylvania State University
*
Mary Grantham O'Brien, Department of Germanic, Slavic and East Asian Studies, University of Calgary, C208 Craigie Hall, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada. E-mail: mgobrien@ucalgary.ca
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Abstract

This study examined whether late-learning English–German second language (L2) learners and late-learning German–English L2 learners use prosodic cues to disambiguate temporarily ambiguous first language and L2 sentences during speech production. Experiments 1a and 1b showed that English–German L2 learners and German–English L2 learners used a pitch rise and pitch accent to disambiguate PP-attachment sentences in German. However, the same participants, as well as monolingual English speakers, only used pitch accent to disambiguate similar English sentences. Taken together, these results indicate the L2 learners used prosody to disambiguate sentences in both of their languages and did not fully transfer cues to disambiguation from their first language to their L2. The results have implications for the acquisition of L2 prosody and the interaction between prosody and meaning in L2 production.

Information

Type
Articles
Copyright
Copyright © Cambridge University Press 2012 
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Figure 1. English noun phrase attachment sentence. [A color version of this figure can be viewed online at http://journals.cambridge.org/aps]

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Figure 2. English verb phrase attachment sentence. [A color version of this figure can be viewed online at http://journals.cambridge.org/aps]

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Figure 3. German noun phrase attachment sentence (“The king saw the crown with the large jewels”). [A color version of this figure can be viewed online at http://journals.cambridge.org/aps]

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Figure 4. German verb phrase attachment sentence (“The king saw the crown with his own eyes”). [A color version of this figure can be viewed online at http://journals.cambridge.org/aps]

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Table 1. Fluency measures for all participants in Experiments 1a, 1b, and 2

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Table 2. Mean values of acoustic measures from the contextualized speaking task for the English–German L2 learners

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Table 3. Estimated coefficients from the multilevel model analyses of duration data from the English–German L2 learners in L2 German

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Table 4. Estimated coefficients from the mixed-effects model analyses of fundamental frequency excursion and pitch accent data from the English–German L2 learners in L2 German

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Table 5. Estimated coefficients from the multilevel model analyses of duration data from the English–German second language learners in first language English

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Table 6. Estimated coefficients from the mixed- effects model analyses of pitch accent data from the English–German second language learners in first language English

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Table 7. Mean values of acoustic measures from the contextualized speaking task for the German–English L2 learners

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Table 8. Estimated coefficients from the multilevel model analyses of duration data from the German–English second language learners in first language German

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Table 9. Estimated coefficients from the mixed-effects model analyses of fundamental frequency excursion and pitch accent data from the German–English second language learners in first language German

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Table 10. Estimated coefficients from the multilevel model analyses of duration data from the German–English L2 learners in L2 English

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Table 11. Estimated coefficients from the mixed- effects model analyses of pitch accent data from the German–English L2 learners in L2 English

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Table 12. Mean values of acoustic measures from the contextualized speaking task for the monolingual English speakers

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Table 13. Estimated coefficients from the multilevel model analyses of duration data from the monolingual English speakers

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Table 14. Estimated coefficients from the mixed- effects model analyses of pitch accent data from the monolingual English speakers