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Record W1998979760 · doi:10.1017/s0952675710000114

The emergence of phonological adaptation from phonetic adaptation: English loanwords in Korean

2010· article· en· W1998979760 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.

Bibliographic record

VenuePhonology · 2010
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsObstruentPhonotacticsAdaptation (eye)LoanwordLinguisticsPhonological ruleOptimality theoryPhonological developmentPhoneticsPhonologyPsychologyComputer scienceSpeech recognitionHistoryVoice

Abstract

fetched live from OpenAlex

This paper provides a detailed diachronic account of the adaptation of the English posterior coronal obstruents /ʃ ʧ ʤ/ in Contemporary Korean. These consonants are variably adapted with a glide (/j/ or /w/), and the distribution of the glides is conditioned by phonetic and phonological characteristics of the English input, as well as native phonotactic restrictions. The diachronic change in the occurrence of /w/ serves as an example of a variable phonetic detail in the input that is faithfully represented in loans in earlier stages, but which is subsequently eliminated in the emerging norm. Given this data, I propose how what, on the surface, may appear to be a ‘phonological’ adaptation can arise through regularisation of what is essentially a ‘phonetic’ adaptation. This study highlights the complexity of loanword adaptation and the importance of examining all of the different factors shaping this process.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.322
Teacher spread0.281 · 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