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Record W3001375686 · doi:10.5334/labphon.158

Epenthetic vowel production of unfamiliar medial consonant clusters by Japanese speakers

2019· article· en· W3001375686 on OpenAlexaff
Wakayo Mattingley, Kathleen Currie Hall, Elizabeth Hume

Bibliographic record

VenueLaboratory Phonology Journal of the Association for Laboratory Phonology · 2019
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhonotacticsVowelLinguisticsConsonantStop consonantLoanwordConsonant clusterMid vowelPsychologyPhonology

Abstract

fetched live from OpenAlex

Existing nativized loanword studies have traditionally suggested that there are three epenthetic vowels in Japanese, which reflect both phonotactic restrictions and articulatory properties of certain consonant-vowel sequences in the language. Recent findings, however, call this tri-partite epenthesis pattern into question: First, several studies suggest that this epenthesis pattern is not true in the realm of perception and is not completely regular in production, and second, the relevant phonotactic restrictions seem to be weakening even outside of epenthesis contexts. This paper therefore investigates the extent to which the spontaneous choice of epenthetic vowels in the 'production' of Japanese conforms to the traditional tri-partite pattern. Epenthesis was induced by presenting pseudo-word stimuli of the form of [aCCa] (C = a voiced consonant) to subjects orthographically. The findings suggest that indeed, the production pattern does not fully conform to what is generally reported for nativized loanwords; in particular, the traditionally “default” vowel [ɯ] is used by our participants frequently in all contexts, including the two where [o] or [i] is usually reported. That said, we also show that there is considerable variability across speakers as to which vowel is epenthesized, especially in the palatal context, and this variability includes tokens of vowels similar to all possible lexical vowels of Japanese.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.269
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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