This repository was created as supplementary material for a study conducted by Moldir Baidildinova, Gregory Scontras, and Connor Mayer, which was presented at the Annual Meeting on Phonology 2025. It contains the core datasets and R scripts supporting the study’s findings.
Repository created: May 13, 2025
Corresponding author: Moldir Baidildinova (mbaidild@uci.edu).
This pilot experiment aims to conduct an acoustic analysis of Kazakh-Russian intra-word code-switching using experimental data and to investigate the phonological implications of word-internal shifts through acoustic correlates of stress, namely, duration, intensity, pitch and vowel reduction. The central question is how the stress patterns of two typologically and genealogically distinct languages interact in word-internal shifts, specifically, whether the phonology aligns with one language’s pattern or exhibits a mixed, hybrid pattern.
The acoustic data used in this project were collected through a production experiment conducted at the UCI Speech Science Lab. We tested four Kazakh-Russian bilingual speakers, eliciting disyllabic nouns in a carrier phrase under the following three conditions:
- Kazakh tokens in a Kazakh context (non-code-switched), both with and without Kazakh affixes
- Russian tokens in a Kazakh context (code-switched), both with and without Kazakh affixes
- Russian tokens in a Russian context, with Russian suffixes
All audio files were annotated using Praat, and the acoustic analysis was performed using linear mixed-effects models implemented in the lme4 package in R.
analysis/: R scripts for syllable- and vowel-level acoustic analysesdatasets/: Processed datasets used in statistical modelingAMP_2025_Poster_COPY_UPDATED.key: AMP 2025 posterLICENSE.md: License informationREADME.md: Project overview and documentation
Special thanks to Frankie Boren, for her diligent work and support on annotation.