The Impact of Orthography on French Liaison Production by L1 Mandarin Learners
Bibliographic record
Abstract
This study investigates how orthographic input shapes French liaison production among beginner-level, Mandarin-speaking learners of French. Employing a quantitative experimental design, it compares the production of learners exposed to spoken-only input versus combined spoken and written input across obligatory, forbidden, and optional liaison contexts. Orthographic input significantly enhanced accuracy with obligatory liaisons, where visual cues are argued to reinforce phonological representations. However, orthographic input led learners to overgeneralize liaison consonants to forbidden contexts. In optional contexts, orthographic input systematically biased learners toward producing liaisons, in spite of the auditory input, underlining its both facilitative and hindering roles. These findings highlight the nuanced effects of orthography on L2 phonological acquisition, specifically for learners whose L1 has a non-alphabetic script. This research contributes to theoretical models of orthographic influence on L2 phonology and provides evidence for instructional strategies that optimally integrate orthographic input into French liaison teaching.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".