Perception and Production of Consonants of English by Pakistani Speakers
Bibliographic record
Abstract
This paper depicts a comprehensive picture of consonants of Pakistani English (PakE). The study shows that PakE speakers neutralize aspiration contrast in English stops. In the PakE, /t/ in /st/ cluster on onset of a word (e.g., steal) is produced with more aspiration than that on syllable-initial position without preceding /s/ (e.g., in “teach”). Besides, /t d/ are produced with strong retroflexion but /t/ in tautosyllabic /st/ clusters on word-initial position is produced without retroflexion. Voiced stops are produced with pre-voicing. Dental fricatives /θ ð/ produced by native speakers of English are perceived as [f z] or [s v] by PakE speakers but they produce these fricatives as stop. PakE speakers can realize a difference between clear and dark lateral of English in perception although they do not maintain the same difference in production as they produce English lateral as a clear lateral on onset and coda of syllables. Coronal fricative /ʒ/ is perceived and produced as approximant /j/ and /v w/ as a labial approximant. In PakE [r] is produced with strong trilling and rhoticity on all word-positions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".