Prosodic transfer and the representation of determiners in Turkish-English interlanguage
Why this work is in the frame
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Bibliographic record
Abstract
Problems with the second language (L2) acquisition of articles in Turkish-English interlanguage are examined, specifically omission, substitution of other determiners in place of articles, overuse of stressed articles and differential treatment of articles in DPs with and without adjectives. Trenkic’s (2007) syntactic misanalysis account is argued against, that difficulties with articles for L2 English speakers from L1s like Turkish and Serbian stem from the absence of DP in the L1 grammar. Instead, in accordance with the Prosodic Transfer Hypothesis, it is proposed that L1 prosodic representations underlie these problems; L2 learners are argued to have difficulty in producing functional morphology in target-like fashion when the L2 requires a prosodic representation that is unavailable in the L1 grammar.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it