Second-Language Learners’ Identification of Target-Language Phonemes: A Short-Term Phonetic Training Study
Bibliographic record
Abstract
Abstract: This study examined the effect of short-term high-variability phonetic training on the perception of English /b/, /v/, /d/, /ð/, /æ/, /#_x028C_#/, /i/, and /i/ by Catalan/Spanish bilinguals learning English as a foreign language. Sixteen English-major undergraduates were tested before and after undergoing a four-session perceptual training program involving a series of discrimination and identification tasks. Although some scores were already high at pre-test, there was improvement from pre-test to post-test, and this improvement generalized to novel words and a novel talker. An effect of word frequency was observed, but this effect was found to decrease after training. The results show that relatively advanced foreign-language learners in an instructional setting may improve in perception as a result of short-term high-variability phonetic training. The implications of these findings for the teaching of pronunciation are discussed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".