2022
DOI: 10.3389/fpsyg.2022.903879
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How experience with tone in the native language affects the L2 acquisition of pitch accents

Abstract: This paper tested the ability of Mandarin learners of German, whose native language has lexical tone, to imitate pitch accent contrasts in German, an intonation language. In intonation languages, pitch accents do not convey lexical information; also, pitch accents are sparser than lexical tones as they only associate with prominent words in the utterance. We compared two kinds of German pitch-accent contrasts: (1) a “non-merger” contrast, which Mandarin listeners perceive as different and (2) a “merger” contra… Show more

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Cited by 6 publications
(2 citation statements)
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“…The use of sonorant materials will help to map the entire accentual realization in a better way, possibly analyzing the entire f0-contour and not just tonal turning points (cf. [8,27,28]). To retrace the acquisition path better, data from younger children and adult data with similar items will be needed.…”
Section: Discussionmentioning
confidence: 99%
“…The use of sonorant materials will help to map the entire accentual realization in a better way, possibly analyzing the entire f0-contour and not just tonal turning points (cf. [8,27,28]). To retrace the acquisition path better, data from younger children and adult data with similar items will be needed.…”
Section: Discussionmentioning
confidence: 99%
“…We extracted ten f0 values for each word in a question, and the resulting time-normalized f0 contours were compared across illocution type (ISQ vs RQ). GAMMs were chosen for the analysis of the f0 trajectory as they represent an optimal way for the analysis of time-varying data with non-linear relationships and auto-correlation (Baayen, van Rij, de Cat, & Wood, 2018;Wieling, 2018; for a comparison of intonation contrats using GAMM, see Zahner-Ritter, Zhao, Einfeldt, & Braun, 2022). In brief, GAMMs model non-linear dependencies in f0 and illocution type over time via smooth functions.…”
Section: Discussionmentioning
confidence: 99%