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Record W2136795769 · doi:10.1017/s0142716411000440

Phonotactics and morphophonology in early child language: Evidence from Dutch

2011· article· en· W2136795769 on OpenAlexaff
Tania S. Zamuner, Annemarie Kerkhoff, Paula Fikkert

Bibliographic record

VenueApplied Psycholinguistics · 2011
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Ottawa
FundersNederlandse Organisatie voor Wetenschappelijk OnderzoekRadboud Universiteit
KeywordsPhonotacticsPsychologyVoiceLinguisticsContext (archaeology)Variation (astronomy)PhonologyLanguage acquisitionMathematics educationHistoryPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT This research investigates children's knowledge of how surface pronunciations of lexical items vary according to their phonological and morphological context. Dutch-learning children aged 2.5 and 3.5 years were tested on voicing neutralization and morphophonological alternations. For instance, voicing does not alternate between the pair [pɛt]~[pɛtən] (cap~caps) but does in [bɛt]~[bɛdən] (bed~beds). Data from the first experiment showed that children at a younger age were less accurate at imitating words with / d / than / t /, regardless of morphological context. In a second study, children between 2 and 4 years were asked to produce singulars from novel plurals (e.g., [kɛtən]~[kɛt] and [kɛdən]~[kɛt]). Results indicated that children's performance was better in contexts that did not require surface variation. Dutch-learning children are not able to robustly generalize their knowledge of phonotactics and morphophonological alternations. Rather, it appears that their knowledge is more concrete, in line with recent usage-based theories of acquisition.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.064
GPT teacher head0.343
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations21
Published2011
Admission routes1
Has abstractyes

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