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Record W2098125180 · doi:10.1017/s1366728903001019

Cross-linguistic transfer in deverbal compounds of preschool bilingual children

2003· article· en· W2098125180 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

VenueBilingualism Language and Cognition · 2003
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLinguisticsVerbObject (grammar)AmbiguityComprehensionPsychologyNounComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Cross-linguistic transfer can be explained by structural ambiguity in a bilingual child's two languages (Döpke, 1998; Hulk and Müller, 2000). This study examined the effect of morphological ambiguity in transfer of deverbal compounds in English and French. English-speaking children go through a stage of producing ungrammatical verb-object compounds in their acquisition of object-verb-er compounds. In French, verb-object compounds are productive. If structural ambiguity predicts when transfer occurs, French-English bilingual children should use more ungrammatical verb-object compounds than English-speaking children and more grammatical verb-object compounds than French-speaking children. This study focused on 36 French-English bilingual children's production and comprehension of novel deverbal compounds in both languages. The results supported these predictions for production but not for comprehension. It is concluded that cross-linguistic transfer is a language production phenomenon and that structural ambiguity can predict when morphological transfer can occur.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.301
Teacher spread0.289 · 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