How to cite this paper
Al-Rami, B & Zrekat, Y. (2023). A framework for pronunciation error detection and correction for non-native Arab speakers of English language.International Journal of Data and Network Science, 7(3), 1205-1216.
Refrences
Ai, R. (2015). Automatic pronunciation error detection and feedback generation for call applications. International Conference on Learning and Collaboration Technologies,
Alqarni, A. A. (2013). The realization for the English voiceless postalveolar affricate/t [esh]/in Najdi Saudi ESL learners production. Southern Illinois University at Carbondale.
Ambrozová, M. (2014). English Pronunciation difficulties among Czech students: Causes and compensation strategies. Unpublished Thesis, Tomas Bata University, Zlin.
Bensalah, R. F., & Betta, A. (2022). The Impact of the Mother Tongue on the Phonetic Realization of Foreign Language Allophones. Algerian Arabic VS Received Pronunciation English Université Ibn Khaldoun-Tiaret-].
Bisani, M., & Ney, H. (2008). Joint-sequence models for grapheme-to-phoneme conversion. Speech communication, 50(5), 434-451.
Cai, J., & Liu, Y. (2018). Research on English pronunciation training based on intelligent speech recognition. International Journal of Speech Technology, 21(3), 633-640.
Daana, H., & Khrais, S. (2018). The Acquisition of English and Arabic Onset Clusters: A Case Study. English Linguistics Research, 7(1), 13-33.
Daana, H. A. (2009). The development of consonant clusters, stress and plural nouns in Jordanian Arabic child language The University of Essex].
Dobrovolsky, M., & Katamba, F. (1996). Phonology: the function and patterning of sounds. Contemporary Linguistics: An Introduction. Essex: Addison Wesley Longman Limited.
El Zarka, A. M. E. S. (2013). The pronunciation errors of L1 Arabic learners of L2 English: The role of Modern Standard Arabic and vernacular dialects transfer The British University in Dubai (BUiD)].
Eskenazi, M. (2009). An overview of spoken language technology for education. Speech communication, 51(10), 832-844.
Gambari, A. I., Kutigi, A. U., & Fagbemi, P. O. (2014). Effectiveness of Computer-Assisted Pronunciation Teaching and Verbal Ability on the Achievement of Senior Secondary School Students in Oral English. Gist Education and Learning Research Journal, 8, 11-28.
Hassan, E. M. I. (2014). Pronunciation problems: A case study of English language students at Sudan University of Science and Technology. English Language and Literature Studies, 4(4), 31.
Kotani, K., & Yoshimi, T. (2018). Machine learning classification of pronunciation difficulty for learners of English as a Foreign Language. Research in Corpus Linguistics, 1-8.
Lai, K.-W. K., & Chen, H.-J. H. (2022). An exploratory study on the accuracy of three speech recognition software programs for young Taiwanese EFL learners. Interactive Learning Environments, 1-15.
Lee, A. (2016). Language-independent methods for computer-assisted pronunciation training Massachusetts Institute of Technology].
Li, W., Chen, N. F., Siniscalchi, S. M., & Lee, C.-H. (2017, August 20-24). Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models Interspeech, Stockholm, Sweden.
Lu, L., Ghoshal, A., & Renals, S. (2013, December 8-12). Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, Olomouc, Czech Republic.
McGraw, I., Badr, I., & Glass, J. R. (2012). Learning lexicons from speech using a pronunciation mixture model. IEEE Transactions on Audio, Speech, and Language Processing, 21(2), 357-366.
Molina, C., Yoma, N. B., Wuth, J., & Vivanco, H. (2009). ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion. Speech communication, 51(6), 485-498.
Nijhawan, T., Attigeri, G., & Ananthakrishna, T. (2022). Stress detection using natural language processing and machine learning over social interactions. Journal of Big Data, 9(1), 1-24.
Paula, A. J., Ferreira, O. P., Souza Filho, A. G., Filho, F. N., Andrade, C. E., & Faria, A. F. (2022). Machine Learning and Natural Language Processing Enable a Data-Oriented Experimental Design Approach for Producing Biochar and Hydrochar from Biomass. Chemistry of Materials, 34(3), 979-990.
Peabody, M. A. (2011). Methods for pronunciation assessment in computer aided language learning Massachusetts Institute of Technology].
Poggensee, A. (2016). The effects of globalization on English language learning: perspectives from Senegal and the United States Western Michigan University, Kalamazoo, Michigan].
Rutherford, A., Peng, F., & Beaufays, F. (2014, September 14-18). Pronunciation learning for named-entities through crowd-sourcing Interspeech, Singapore.
Syafrizal, S., Wahyuni, S., & Syamsun, T. R. (2022). Pronunciation Errors of the Silent Consonants of Pariskian Junior High School Students. ELTICS: Journal of English Language Teaching and English Linguistics, 7(2), 155-165.
Tepperman, J., Silva, J. F., Kazemzadeh, A., You, H., Lee, S., Alwan, A., & Narayanan, S. S. (2006, September). Pronunciation verification of children²s speech for automatic literacy assessment. In INTERSPEECH.
Weinberger, S. H., & Kunath, S. A. (2011). The Speech Accent Archive: towards a typology of English accents. In Corpus-based studies in language use, language learning, and language documentation (pp. 265-281). Brill.
Zrekat, Y. (2021). The Effectiveness of Blended Learning in Efl Context: An Experimental Study at Arab Open University-Ksa. Turkish Online Journal of Qualitative Inquiry, 12(7).
Zrekat, Y., & Al-Sohbani, Y. (2022). Arab EFL University learners' perceptions of the factors hindering them to speak English fluently. Journal of Language and Linguistic Studies, 18(1), 775-790.
Alqarni, A. A. (2013). The realization for the English voiceless postalveolar affricate/t [esh]/in Najdi Saudi ESL learners production. Southern Illinois University at Carbondale.
Ambrozová, M. (2014). English Pronunciation difficulties among Czech students: Causes and compensation strategies. Unpublished Thesis, Tomas Bata University, Zlin.
Bensalah, R. F., & Betta, A. (2022). The Impact of the Mother Tongue on the Phonetic Realization of Foreign Language Allophones. Algerian Arabic VS Received Pronunciation English Université Ibn Khaldoun-Tiaret-].
Bisani, M., & Ney, H. (2008). Joint-sequence models for grapheme-to-phoneme conversion. Speech communication, 50(5), 434-451.
Cai, J., & Liu, Y. (2018). Research on English pronunciation training based on intelligent speech recognition. International Journal of Speech Technology, 21(3), 633-640.
Daana, H., & Khrais, S. (2018). The Acquisition of English and Arabic Onset Clusters: A Case Study. English Linguistics Research, 7(1), 13-33.
Daana, H. A. (2009). The development of consonant clusters, stress and plural nouns in Jordanian Arabic child language The University of Essex].
Dobrovolsky, M., & Katamba, F. (1996). Phonology: the function and patterning of sounds. Contemporary Linguistics: An Introduction. Essex: Addison Wesley Longman Limited.
El Zarka, A. M. E. S. (2013). The pronunciation errors of L1 Arabic learners of L2 English: The role of Modern Standard Arabic and vernacular dialects transfer The British University in Dubai (BUiD)].
Eskenazi, M. (2009). An overview of spoken language technology for education. Speech communication, 51(10), 832-844.
Gambari, A. I., Kutigi, A. U., & Fagbemi, P. O. (2014). Effectiveness of Computer-Assisted Pronunciation Teaching and Verbal Ability on the Achievement of Senior Secondary School Students in Oral English. Gist Education and Learning Research Journal, 8, 11-28.
Hassan, E. M. I. (2014). Pronunciation problems: A case study of English language students at Sudan University of Science and Technology. English Language and Literature Studies, 4(4), 31.
Kotani, K., & Yoshimi, T. (2018). Machine learning classification of pronunciation difficulty for learners of English as a Foreign Language. Research in Corpus Linguistics, 1-8.
Lai, K.-W. K., & Chen, H.-J. H. (2022). An exploratory study on the accuracy of three speech recognition software programs for young Taiwanese EFL learners. Interactive Learning Environments, 1-15.
Lee, A. (2016). Language-independent methods for computer-assisted pronunciation training Massachusetts Institute of Technology].
Li, W., Chen, N. F., Siniscalchi, S. M., & Lee, C.-H. (2017, August 20-24). Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models Interspeech, Stockholm, Sweden.
Lu, L., Ghoshal, A., & Renals, S. (2013, December 8-12). Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, Olomouc, Czech Republic.
McGraw, I., Badr, I., & Glass, J. R. (2012). Learning lexicons from speech using a pronunciation mixture model. IEEE Transactions on Audio, Speech, and Language Processing, 21(2), 357-366.
Molina, C., Yoma, N. B., Wuth, J., & Vivanco, H. (2009). ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion. Speech communication, 51(6), 485-498.
Nijhawan, T., Attigeri, G., & Ananthakrishna, T. (2022). Stress detection using natural language processing and machine learning over social interactions. Journal of Big Data, 9(1), 1-24.
Paula, A. J., Ferreira, O. P., Souza Filho, A. G., Filho, F. N., Andrade, C. E., & Faria, A. F. (2022). Machine Learning and Natural Language Processing Enable a Data-Oriented Experimental Design Approach for Producing Biochar and Hydrochar from Biomass. Chemistry of Materials, 34(3), 979-990.
Peabody, M. A. (2011). Methods for pronunciation assessment in computer aided language learning Massachusetts Institute of Technology].
Poggensee, A. (2016). The effects of globalization on English language learning: perspectives from Senegal and the United States Western Michigan University, Kalamazoo, Michigan].
Rutherford, A., Peng, F., & Beaufays, F. (2014, September 14-18). Pronunciation learning for named-entities through crowd-sourcing Interspeech, Singapore.
Syafrizal, S., Wahyuni, S., & Syamsun, T. R. (2022). Pronunciation Errors of the Silent Consonants of Pariskian Junior High School Students. ELTICS: Journal of English Language Teaching and English Linguistics, 7(2), 155-165.
Tepperman, J., Silva, J. F., Kazemzadeh, A., You, H., Lee, S., Alwan, A., & Narayanan, S. S. (2006, September). Pronunciation verification of children²s speech for automatic literacy assessment. In INTERSPEECH.
Weinberger, S. H., & Kunath, S. A. (2011). The Speech Accent Archive: towards a typology of English accents. In Corpus-based studies in language use, language learning, and language documentation (pp. 265-281). Brill.
Zrekat, Y. (2021). The Effectiveness of Blended Learning in Efl Context: An Experimental Study at Arab Open University-Ksa. Turkish Online Journal of Qualitative Inquiry, 12(7).
Zrekat, Y., & Al-Sohbani, Y. (2022). Arab EFL University learners' perceptions of the factors hindering them to speak English fluently. Journal of Language and Linguistic Studies, 18(1), 775-790.