Introducing the IPA Symbols for English Consonant Phonemes to Bengali Learners of English and the Ensuing Challenges
Bibliographic record
Abstract
Despite learning English as a compulsory subject for twelve years, Bangladeshi adult students can hardly communicate orally because of their pronunciation being very faulty. The exams never test the examinees’ ability to speak, resulting in widespread negligence towards pronunciation. If these learners ever approach the International Phonetic Alphabet as an attempt to develop a self-correcting mechanism, they show some particular tendencies. This study was carried out to determine the extent to which Bengali speaking Bangladeshi learners of English depend on English letters to read English words in IPA transcription. It also aimed to establish a hierarchy of the symbols in terms of the learners’ difficulty to master them. By employing an experimental research design as well as a questionnaire survey it was revealed that learners heavily rely on their knowledge of English letters while reading English words in transcription. It was also found out that all the IPA symbols for English consonant phonemes are not equally difficult for them to master: there is a clear hierarchy of difficulty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".