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Tracking phonological regularities: exploring the influence of learning mode and regularity locus in adult phonological learning

  • Xiaoyu Yu ORCID logo , Thomas Van Hoey ORCID logo , Frank Lihui Tan ORCID logo , Baichen Du ORCID logo and Youngah Do ORCID logo EMAIL logo
Published/Copyright: July 4, 2024
Linguistics Vanguard
From the journal Linguistics Vanguard Volume 10 Issue 1

Abstract

Research on phonological learning has shown that adult learners are capable of effectively tracking regularities in phonological patterns. In our study, we investigated the dynamics of the learning process for regularity tracking. Adult learners participated in a phonological learning experiment where they acquired vowel harmony rules for forming plurals. The experiment had four conditions, varying in learning mode (goal-oriented vs. exploratory) and the locus of phonological regularity (phonotactics vs. alternation). When learners had no explicit learning goal and when the language involved random alternation patterns, their learning process showed a strong preference for regularity. This suggests that the application of statistical learning metrics is influenced by two factors: greater uncertainty in the exploratory conditions compared to the goal-oriented conditions, and a stronger inclination to avoid irregularities in alternation compared to phonotactics.

Keywords: statistical learning; regularities; phonology; phonotactics; alternation
Corresponding author: Youngah Do, Department of Linguistics, The University of Hong Kong, Hong Kong, Hong Kong, E-mail:

Funding source: The University of Hong Kong

Award Identifier / Grant number: 2202100472

Acknowledgments

We would like to thank the editor, Dr. Yao Yao, and the two anonymous reviewers for valuable feedback that helped us improve the study. We are also grateful to the members of the Language Development Lab at the University of Hong Kong, who provided us with insightful suggestions to refine the experiment design. Thanks also go to Aaron Wing Cheung Chik, our lab manager, for technical assistance.

  1. Research funding: This work was supported by The University of Hong Kong (2202100472).

Appendix

Additional information on data analysis: We used R 4.3.0 “Already Tomorrow” (R Core Team 2022) as well as the following packages: tidyverse (Wickham et al. 2019), fs (Hester et al. 2021), here (Müller 2020), broom (Robinson et al. 2023), broom.mixed (Bolker and Robinson 2022), lme4 (Bates et al. 2015), lmerTest (Kuznetsova et al. 2017), partykit (Hothorn and Zeileis 2015; Hothorn et al. 2006; Zeileis et al. 2008), performance (Lüdecke et al. 2021), ggpubr (Kassambara 2023), ggsci (Xiao 2023), ggridges (Wilke 2022), sjPlot (Lüdecke 2023), and emmeans (Lenth 2023, for post hoc pairwise comparison).

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/lingvan-2023-0050).

Received: 2023-03-22
Accepted: 2024-03-04
Published Online: 2024-07-04

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/lingvan-2023-0050
Keywords for this article
statistical learning; regularities; phonology; phonotactics; alternation

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  30. Sign recognition: the effect of parameters and features in sign mispronunciations
  31. Influence of translation on perceived metaphor features: quality, aptness, metaphoricity, and familiarity
  32. Effects of grammatical gender on gender inferences: Evidence from French hybrid nouns
  33. Processing reflexives in adjunct control: an exploration of attraction effects
  34. Language Acquisition & Language Learning
  35. How do L1 glosses affect EFL learners’ reading comprehension performance? An eye-tracking study
  36. Modeling L2 motivation change and its predictive effects on learning behaviors in the extramural digital context: a quantitative investigation in China
  37. Ongoing exposure to an ambient language continues to build implicit knowledge across the lifespan
  38. On the relationship between complexity of primary occupation and L2 varietal behavior in adult migrants in Austria
  39. The acquisition of speaking fundamental frequency (F0) features in Cantonese and English by simultaneous bilingual children
  40. Sociolinguistics & Anthropological Linguistics
  41. A computational approach to detecting the envelope of variation
  42. Attitudes toward code-switching among bilingual Jordanians: a comparative study
  43. “Let’s ride this out together”: unpacking multilingual top-down and bottom-up pandemic communication evidenced in Singapore’s coronavirus-related linguistic and semiotic landscape
  44. Across time, space, and genres: measuring probabilistic grammar distances between varieties of Mandarin
  45. Navigating linguistic ideologies and market dynamics within China’s English language teaching landscape
  46. Streetscapes and memories of real socialist anti-fascism in south-eastern Europe: between dystopianism and utopianism
  47. What can NLP do for linguistics? Towards using grammatical error analysis to document non-standard English features
  48. From sociolinguistic perception to strategic action in the study of social meaning
  49. Minority genders in quantitative survey research: a data-driven approach to clear, inclusive, and accurate gender questions
  50. Variation is the way to perfection: imperfect rhyming in Chinese hip hop
  51. Shifts in digital media usage before and after the pandemic by Rusyns in Ukraine
  52. Computational & Corpus Linguistics
  53. Revisiting the automatic prediction of lexical errors in Mandarin
  54. Finding continuers in Swedish Sign Language
  55. Conversational priming in repetitional responses as a mechanism in language change: evidence from agent-based modelling
  56. Construction grammar and procedural semantics for human-interpretable grounded language processing
  57. Through the compression glass: language complexity and the linguistic structure of compressed strings
  58. Could this be next for corpus linguistics? Methods of semi-automatic data annotation with contextualized word embeddings
  59. The Red Hen Audio Tagger
  60. Code-switching in computer-mediated communication by Gen Z Japanese Americans
  61. Supervised prediction of production patterns using machine learning algorithms
  62. Introducing Bed Word: a new automated speech recognition tool for sociolinguistic interview transcription
  63. Decoding French equivalents of the English present perfect: evidence from parallel corpora of parliamentary documents
  64. Enhancing automated essay scoring with GCNs and multi-level features for robust multidimensional assessments
  65. Sociolinguistic auto-coding has fairness problems too: measuring and mitigating bias
  66. The role of syntax in hashtag popularity
  67. Language practices of Chinese doctoral students studying abroad on social media: a translanguaging perspective
  68. Cognitive Linguistics
  69. Metaphor and gender: are words associated with source domains perceived in a gendered way?
  70. Crossmodal correspondence between lexical tones and visual motions: a forced-choice mapping task on Mandarin Chinese
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