Interlanguage Segmental Mapping as Evidence for the Nature of Lexical Representation
Bibliographic record
Abstract
Abstract The traditional view of phonological representation assumes that lexical representation is economical and free of redundancy and that a phoneme is represented as a combination of contrastive phonetic features. The traditional view, however, is challenged by the recent developments in phonological theories. In Optimality Theory, the distinction between contrastive vs. non‐contrastive aspects of pronunciation is made not by the lexical representation but by the constraint ranking and the commonly adopted principle of Lexicon Optimization requires lexical representation to be as close to the surface representation as possible. An exemplar model of phonology also assumes that predictable and redundant phonetic properties are also specified in the lexical representation and that each contextual variant of a phoneme forms a separate phonetic category. The current paper reviews recent studies on segmental mapping in interlanguage phonology, examines the nature of the L1 phonological representation that the mapping crucially refers to, and discusses how the interlanguage data bear on the debate on the nature of the lexical representation.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".