Prosodic location modulates listener’s perception of novel German sounds
Bibliographic record
Abstract
Interaction of sounds on the melodic tier (segments) with prosodic and phonotactic structure (syllabic context) in cross-language perception is not explicitly addressed by models of second language phonology (e.g., Perceptual Assimilation Model: Best, 1995). At initial stages of foreign language exposure, learners rely on position-specific phonetic detail more than native speakers or advanced learners, thus mappings according to prosodic and phonotactic context are a crucial factor in early interlanguage phonological development. In a perceptual assimilation experiment, we manipulated syllable position (onset vs. coda) and phonotactic complexity (simple vs. complex codas) in phonotactically similar languages for auditory presentation of six German obstruents (i.e., familiar [h k ʃ] and novel [ç x p͡f]) to native speakers of American English who had no previous exposure to German. By means of weighted proportions (Park & de Jong, 2008) and overlap scores (Levy, 2009), we found that [h k ʃ p͡f] mapped categorically to English orthographic categories <h>, <k>, <sh>, and <f>, respectively, in all positions, whereas the novel fricatives [ç x] exhibited distinct mapping patterns from each other, from other sounds, and according to syllable position. These results demonstrate profound influences of both low-level prosodic and phonotactic contexts on perceptual assimilation of novel sounds
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".