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http://hdl.handle.net/10397/77244
Title: | Mechanisms of tone sandhi rule application by non-native speakers | Authors: | Chen, S He, Y Yuen, CW Li, B Yang, Y |
Issue Date: | 2017 | Source: | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2017, 20-24 Aug 2017, p. 1760-1764 | Abstract: | This study is the first to examine acquisition of two Mandarin tone sandhi rules by Cantonese speakers. It designs both real and different types of wug words to test whether learners may exploit a lexical or computation mechanism in tone sandhi rule application. We also statistically compared their speech production with Beijing Mandarin speakers. The results of functional data analysis showed that non-native speakers applied tone sandhi rules both to real and wug words in a similar manner, indicating that they might utilize a computation mechanism and compute the rules under phonological conditions. No significant differences in applying these two phonological rules on reading wug words also suggest no bias in the application of these two rules. However, their speech production differed from native speakers. The application of third tone sandhi rule was more categorical than native speakers in that Cantonese speakers tended to neutralize the sandhi Tone 3 more with Tone 2 produced in isolation compared to native speakers. Also, Cantonese speakers might not have applied half-third tone sandhi rule fully since they tended to raise f0 values more at the end of vowels. | Keywords: | Cantonese L2 learners Functional data analysis Mandarin tone sandhi Speech production Wug words |
Publisher: | International Speech Communication Association | DOI: | 10.21437/Interspeech.2017-143 | Rights: | Copyright © 2017 ISCA The following publication Chen, S., He, Y., Yuen, C.W., Li, B., Yang, Y. (2017) Mechanisms of Tone Sandhi Rule Application by Non-Native Speakers. Proc. Interspeech 2017, 1760-1764 is available at https://dx.doi.org/10.21437/Interspeech.2017-143 |
Appears in Collections: | Conference Paper |
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chen17g_interspeech.pdf | 1.44 MB | Adobe PDF | View/Open |
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