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Record W7154610145 · doi:10.48448/tm4x-jg38

Exploring the Impact of Regularity, Frequency and Phonological Complexity on Morphological Production in Children with DLD and Phonological Disorders

2025· other· W7154610145 on OpenAlexaff
Cognitive Science Society 2025, Nazmiye Atila Caglar, Aysin Noyan Erbas, Selçuk Güven

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPhonotacticsVoiceCryptographic noncePhonological DisorderPhonologyPhonological developmentProduction (economics)Noun

Abstract

fetched live from OpenAlex

This study examined the effects of regularity, frequency, and phonological complexity on morphological production in Turkish-speaking children with developmental language disorder (DLD) and phonological disorder (PD) compared to typically developing (TD) peers. Thirty children (ages 4–6) completed elicited production tasks using real and nonce words with regular and irregular noun and verb suffixes. DLD children showed lower accuracy in tasks involving consonant voicing and epenthesis and performed significantly worse on irregular suffixation, often substituting irregular forms with familiar ones. Nonce word production confirmed these challenges. Random Forest analyses indicated that phonotactic probability best predicted TD performance, while lemma frequency and phonological neighborhood density were more influential for DLD and PD groups, respectively. These findings suggest that DLD children rely on familiar, regular forms to manage morphological complexity, reflecting distinct processing strategies compared to PD and TD peers.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.005
Science and technology studies0.0010.033
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.003
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 head0.089
GPT teacher head0.311
Teacher spread0.222 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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