Phonetic Reconstruction of the Consonant System of Middle Chinese via Mixed Integer Optimization
Xiaoxi Luo (1), Weiwei Sun (2) ((1) Yuanpei College, Peking University, (2) Department of Computer Science, Technology, University of Cambridge)

TL;DR
This paper introduces a novel mixed integer optimization approach for reconstructing Middle Chinese consonant sounds by leveraging ancient rhyme data and modern dialects, yielding a robust and effective phonetic reconstruction.
Contribution
It presents a new computational method using Mixed Integer Programming to automatically analyze phonetic data for historical Chinese linguistics.
Findings
Effective reconstruction of Middle Chinese consonants
Robustness demonstrated on synthetic and real data
New phonetic insights from Guangyun and dialects
Abstract
This paper is concerned with phonetic reconstruction of the consonant system of Middle Chinese. We propose to cast the problem as a Mixed Integer Programming problem, which is able to automatically explore homophonic information from ancient rhyme dictionaries and phonetic information from modern Chinese dialects, the descendants of Middle Chinese. Numerical evaluation on a wide range of synthetic and real data demonstrates the effectiveness and robustness of the new method. We apply the method to information from Guangyun and 20 modern Chinese dialects to obtain a new phonetic reconstruction result. A linguistically-motivated discussion of this result is also provided.
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Taxonomy
TopicsPhonetics and Phonology Research
