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Record W4412474950 · doi:10.1177/02676583241270763

Waiting in the wings: The place of phonology in the study of multilingual grammars

2025· article· en· W4412474950 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSecond language Research · 2025
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council
KeywordsLinguisticsRule-based machine translationPhonologyTheoretical linguisticsOptimality theoryGrammarSociologyPhilosophy

Abstract

fetched live from OpenAlex

Certain properties of second language (L2) speech are well studied, yet it is uncontroversial to note that L n phonology (where n = any natural number; e.g. L2, L3, etc.) is under-represented in generative approaches to language acquisition compared with the domain of morphosyntax. If, however, we look at L n input and output without taking the learnability of abstract mental representation seriously in our psycholinguistic probes then we miss out on fundamental knowledge as to the nature of a multilingual grammar. L n knowers have complex, phonological grammars whose properties help us to describe and explain their knowledge and behaviour. Many approaches (e.g. usage-based; exemplar) have assumed that phonology can be learned by ‘noticing’ elements in the input. Such a view ignores Plato’s Problem of the acquisition of knowledge as well as the corollary of Orwell’s Problem. Phonology is rich, hierarchical, recursive, governed by UG (universal grammar), and subject to poverty-of-the-stimulus effects. Assigning phonetic tokens to phonological categories entails an algebraic function in which the phonological categories act as variables. Interestingly, this is related to the question of whether phonology is ‘merely’ a system of externalization (which implies it evolved after Merge) or whether there is evidence of it emerging earlier in the lineage of Homo sapiens . I present some arguments that human phonology is not just the linearization of syntax implemented by computationally-simpler, evolutionarily-older machinery. I discuss empirical data which demonstrate the utility of explaining multilingual phonological grammars with reference to hierarchical constituents at the levels of feature, syllable, foot, prosodic word, and phonological phrase; none of these structures are read off the input in a straightforward way. By recognizing the epistemological, representational, and learnability issues related to phonological knowledge (and its interfaces), we deepen our understanding of the full range of the cognitive architecture of the multilingual language faculty.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.468
Teacher spread0.396 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it