Coronal stop lenition in French and Spanish: Electropalatographic evidence
Bibliographic record
Abstract
Lenition of voiced and, to a lesser extent, voiceless stops is widely attested in Western Romance languages. In Spanish, utterance-initial voiced stops as well as those following nasals alternate with approximants in intervocalic position. Acoustic and articulatory studies have revealed factors that condition phonetic weakening. In contrast, very little is known about stop weakening in French. In this paper, using electropalatography, we provide articulatory evidence for the lenition of /t d/ in both Spanish and French. Data obtained from seven Spanish-speaking and four French-speaking participants reveal that, in both languages, /d/ is produced with less linguopalatal contact than /t/, and these differences are strongly conditioned by the position within the utterance or word. The languages differ, however, in the degree of /d/ lenition as well as in some of the contextual conditioning factors. Overall, our results, which should be interpreted with some caution given the number of speakers and the balance of the stimuli set, show that French resembles other Romance languages in its phonetic patterns of lenition, differing mainly in the degree of weakening.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 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".