Phonotactic Complexity across Dialects

Fuente: arXiv
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Autores principales: Shim, Ryan Soh-Eun, Chang, Kalvin, Mortensen, David R.
Formato: Preprint
Publicado: 2024
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author Shim, Ryan Soh-Eun
Chang, Kalvin
Mortensen, David R.
author_facet Shim, Ryan Soh-Eun
Chang, Kalvin
Mortensen, David R.
contents Received wisdom in linguistic typology holds that if the structure of a language becomes more complex in one dimension, it will simplify in another, building on the assumption that all languages are equally complex (Joseph and Newmeyer, 2012). We study this claim on a micro-level, using a tightly-controlled sample of Dutch dialects (across 366 collection sites) and Min dialects (across 60 sites), which enables a more fair comparison across varieties. Even at the dialect level, we find empirical evidence for a tradeoff between word length and a computational measure of phonotactic complexity from a LSTM-based phone-level language model-a result previously documented only at the language level. A generalized additive model (GAM) shows that dialects with low phonotactic complexity concentrate around the capital regions, which we hypothesize to correspond to prior hypotheses that language varieties of greater or more diverse populations show reduced phonotactic complexity. We also experiment with incorporating the auxiliary task of predicting syllable constituency, but do not find an increase in the negative correlation observed.
format Preprint
id arxiv_https___arxiv_org_abs_2402_12998
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Phonotactic Complexity across Dialects
Shim, Ryan Soh-Eun
Chang, Kalvin
Mortensen, David R.
Computation and Language
Received wisdom in linguistic typology holds that if the structure of a language becomes more complex in one dimension, it will simplify in another, building on the assumption that all languages are equally complex (Joseph and Newmeyer, 2012). We study this claim on a micro-level, using a tightly-controlled sample of Dutch dialects (across 366 collection sites) and Min dialects (across 60 sites), which enables a more fair comparison across varieties. Even at the dialect level, we find empirical evidence for a tradeoff between word length and a computational measure of phonotactic complexity from a LSTM-based phone-level language model-a result previously documented only at the language level. A generalized additive model (GAM) shows that dialects with low phonotactic complexity concentrate around the capital regions, which we hypothesize to correspond to prior hypotheses that language varieties of greater or more diverse populations show reduced phonotactic complexity. We also experiment with incorporating the auxiliary task of predicting syllable constituency, but do not find an increase in the negative correlation observed.
title Phonotactic Complexity across Dialects
topic Computation and Language
url https://arxiv.org/abs/2402.12998