Extending the Autosegmental Input Strictly Local Framework: Metrical Dominance and Floating Tones
- Yuhong Zhu (The Ohio State University)
Abstract
This paper extends the empirical coverage of the Autosegmental Input Strictly Local (A-ISL) framework (Chandlee and Jardine, 2019) by analyzing three tonal processes: floating tone suffixation in Cantonese, metrical dominance effect in Shanghai Chinese, and a combination of floating tones and metrical dominance in Suzhou Chinese. I show both the adequacy and inadequacy of the current A-ISL framework: it locally resolves some tonal processes that are otherwise non-local (Shanghai), but fails to account for other empirical data due to a lack of tonal membership specification (Suzhou). With the addition of a morphological affiliation tier, I propose an analysis for the Suzhou data. The paper contributes to our typological knowledge of computational locality and autosegmental phonological representations.
Keywords: Autosegmental Representation, Input Strict Locality, Tone Sandhi, Metrical Dominance, Floating Tones
How to Cite:
Zhu, Y., (2020) “Extending the Autosegmental Input Strictly Local Framework: Metrical Dominance and Floating Tones”, Society for Computation in Linguistics 3(1), 393-401. doi: https://doi.org/10.7275/3ydm-7y59
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