Perception of ATR contrasts by Akan speakers: a case of perceptual near-merger
Bibliographic record
Abstract
Despite many acoustic, articulatory and phonological studies of Advanced Tongue Root (ATR) vowel contrasts and vowel harmony, studies of the perception of ATR contrasts by speakers of languages with ATR vowel distinctions are lacking. This paper explores how vowels which differ for ATR or height, or both, are distinguished by speakers of Akan, a Kwa language of Ghana. We examine whether the phonological contrastive status of the vowels impacts perception or whether it is driven by acoustic similarity. Results from two experiments reveal that vowels that differ only for ATR are well distinguished, even those that are in an allophonic relationship. Yet, vowels that are contrastive and differ by both ATR and height features, but are acoustically similar, are poorly perceived. We suggest that these vowel contrasts constitute a case of perceptual near-merger.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 teacher head, 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".