Cross-linguistic transfer in deverbal compounds of preschool bilingual children
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".