Investigating Pronunciation Errors Produced by Gujarati Native Speakers
Notice bibliographique
Résumé
Abstract Pronunciation is generally an area of second language learning that is not given sufficient emphasis. Throughout the state of Gujarat, India, in addition to the lack of adequate attention to English language pronunciation in ESL classrooms, another factor that compounds the difficulties with pronunciation involves ESL teachers, who themselves are improperly trained in this area. This study investigates English pronunciation errors produced by a specific group of Gujarati Native Speakers (GNS) in Toronto, Canada, and suggests both written and oral methods to improve pronunciation. This group of GNS consists of twenty-five females and twenty-five males between the ages of twenty and twenty-nine who have lived and worked in Toronto, Canada for a period of two to nine years. They received a formal education in Gujarat and began learning ESL before the age of six years. These GNS, after being immersed in an English-speaking environment, have specific issues with respect to pronunciation skills. The purpose of this research is to assist educators to first improve their own English pronunciation, thereby enabling them to correctly teach English pronunciation to GNS. The study tested three hypotheses: 1) GNS have difficulty pronouncing the English phones [ej], [ɔ], [æ], [i], [ow], [u], [ɾ], [th], [ph], [oj], [aw], [aj], [ð] and [ɵ]; 2) both written and oral methods improve the pronunciation of these phones; and 3) written methods are more effective than oral methods. The two methods employed in this research incorporate the use of a written and an oral method. The written method uses the Gujarati script to transliterate English words and the oral method consists of oral repetition of English words. With respect to the first hypothesis, the results indicated that the above sounds were consistently mispronounced by GNS. Written and oral methods that were suggested for instructors proved to be successful in teaching the correct English pronunciation as depicted by the International Phonetic Alphabet (IPA), thereby supporting the second hypothesis. The written method proved to be slightly more effective than the oral method, but the difference between the written and oral methods was not statistically significant. As a result, the third hypothesis was not supported. Suggestions for improving pronunciation include supplementary language training for teachers of GNS, and additional exposure to English for GNS outside the classroom environment.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,002 | 0,009 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».