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Phonotactic Probabilities at the Onset of Language Development: Speech Production and Word Position

2008· article· en· W2057918462 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

VenueJournal of Speech Language and Hearing Research · 2008
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of British Columbia
FundersMax Planck Instituut voor PsycholinguïstiekNederlandse Organisatie voor Wetenschappelijk OnderzoekRadboud Universiteit
KeywordsPhonotacticsWord (group theory)Speech productionSpeech recognitionPhoneticsLanguage developmentPhonologyAudiologyProduction (economics)Computer sciencePosition (finance)LinguisticsPsychologyMedicine

Abstract

fetched live from OpenAlex

PURPOSE: To examine the role of phonotactic probabilities at the onset of language development, in a new language (Dutch), while controlling for word position. METHOD: Using a nonword imitation task, 64 Dutch-learning children (age 2;2-2;8 [years;months]) were tested on how they imitated segments in low- and high-phonotactic probability environments, in word-initial and word-final position. The relationship between phonological representations and vocabulary development was examined by comparing children's performance with their receptive and expressive vocabularies. RESULTS: Segments in high-phonotactic probability environments were at an advantage in production, in both word-initial and word-final position. Significant correlations were found between vocabulary size and children's mean segment repetition accuracy for word-initial position, but not in word-final position. CONCLUSION: The results indicate that phonological representations are mediated not only by children's developing vocabularies but also by the structure of children's emerging lexicons.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.061
GPT teacher head0.363
Teacher spread0.302 · 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