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Across time, space, and genres: measuring probabilistic grammar distances between varieties of Mandarin

  • Yi Li EMAIL logo , Benedikt Szmrecsanyi und Weiwei Zhang
Veröffentlicht/Copyright: 12. März 2024

Abstract

This paper aims to quantify distances between varieties of Mandarin (diachronic, regional, and situational) as a function of the similarity in the choice between syntactic variants in the Mandarin theme-recipient alternation (/gěi dative alternation). We use a novel corpus-based method, Variation-Based Distance and Similarity Modeling, which draws inspiration from work in comparative sociolinguistics and quantitative dialectometry. Analysis reveals that, while there is a relatively stable probabilistic grammar across the investigated varieties, historical varieties do exhibit a relatively higher degree of heterogeneity than synchronic varieties. Despite the overall high similarity of the latter, we identify substantial probabilistic differences between fictional writings of Modern Mainland Mandarin and all other synchronic varieties. Our findings thus provide evidence in support of the hypothesis that the transition from Early Mandarin to Modern Mandarin over the past two centuries has witnessed salient grammatical shifts and also empirically demonstrate the interaction between genre variability and regional variability in Modern Mandarin.


Corresponding author: Yi Li, School of Foreign Studies, Tongji University, Siping Road 1239, Shanghai, 200092, China; and Center for Chinese Discourse and Global Communication, Tongji University, Siping Road 1239, Shanghai, 200092, China, E-mail:

Award Identifier / Grant number: CSC201906900122

Acknowledgments

We would like to thank Professor Jason Grafmiller for his help with the VADIS modeling, Dr. Lei Ye for his help with the Python scripts for data extraction, and two anonymous reviewers and the editors for their constructive feedback and suggestions. The usual disclaimers apply.

  1. Research funding: Work on this paper was supported by a China Scholarship Council grant to the first author (grant no. CSC201906900122).

Supplementary Materials

Detailed descriptions of the corpora and the linguistic constraints, R code, and fuller exemplification of tests and results are available at https://osf.io/u496a/.

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Received: 2022-11-10
Accepted: 2023-08-10
Published Online: 2024-03-12

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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