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Record W2550461906 · doi:10.1017/s1366728916001115

Minimal-pair word learning by bilingual toddlers: the Catalan /e/-/ɛ/ contrast revisited

2016· article· en· W2550461906 on OpenAlexaff
Marta Ramon-Casas, Christopher T. Fennell, Laura Bosch

Bibliographic record

VenueBilingualism Language and Cognition · 2016
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCatalanContrast (vision)LinguisticsVowelPsychologyWord (group theory)CognateVariation (astronomy)Computer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Twelve-month-old bilingual and monolingual infants show comparable phonetic discrimination skills for vowels belonging to their native language/s. However, Catalan–Spanish bilingual toddlers, but not Catalan monolinguals, appear insensitive to a vowel mispronunciation in familiar words involving the Catalan–Specific /e/-/ɛ/ contrast. Here bilingual and monolingual toddlers were tested in a challenging minimal-pair word learning task involving that contrast (i.e., [bepi]-[bɛpi]). Both groups succeeded, suggesting that bilinguals can successfully use their phonetic categories to phonologically encode novel words. It is argued that bilinguals’ impoverished vowel representations in familiar words might be the result of experiential input factors (e.g., cognate words and mispronunciations due to accented speech).

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)0.000
metaresearch head score (Gemma)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.274
Teacher spread0.263 · 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 designOther design
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

Citations13
Published2016
Admission routes1
Has abstractyes

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