Optimization of Intelligent Corpus and Language Writing Teaching Based on Embedded Task Processing System

[1] Akoko, S. J. (2024). PRACTICAL WAYS OF IMPROVING SECONDARY SCHOOL STUDENTS’ACHIEVEMENT IN COMPOSITION WRITING USING ARTIFICIAL INTELLIGENCE. Nigerian Journal of Literacy and English Education, 2(2), 65-72. AkokoS. J. (2024). PRACTICAL WAYS OF IMPROVING SECONDARY SCHOOL STUDENTS’ACHIEVEMENT IN COMPOSITION WRITING USING ARTIFICIAL INTELLIGENCE. Nigerian Journal of Literacy and English Education, 2(2), 65-72.Search in Google Scholar

[2] Jiang, J. (2024). When generative artificial intelligence meets multimodal composition: Rethinking the composition process through an AI-assisted design project. Computers and Composition, 74, 102883. JiangJ. (2024). When generative artificial intelligence meets multimodal composition: Rethinking the composition process through an AI-assisted design project. Computers and Composition, 74, 102883.Search in Google Scholar

[3] AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). Chatgpt as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68. AlAfnanM. A.DishariS.JovicM. & LomidzeK. (2023). Chatgpt as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68.Search in Google Scholar

[4] Chang, Q., & Chow, Z. (2024). The Potential and Implications of AI-Generated Feedback for Primary School Composition Writing. ASEAN Journal of Applied Languages, 3, 17-43. ChangQ. & ChowZ. (2024). The Potential and Implications of AI-Generated Feedback for Primary School Composition Writing. ASEAN Journal of Applied Languages, 3, 17-43.Search in Google Scholar

[5] Zhong, B., Liu, X., & Yang, M. (2024). What is Artificial Intelligence (AI) Competency: Essence, Composition and Evaluation Systems. Journal of East China Normal University (Educational Sciences), 42(1), 71. ZhongB.LiuX. & YangM. (2024). What is Artificial Intelligence (AI) Competency: Essence, Composition and Evaluation Systems. Journal of East China Normal University (Educational Sciences), 42(1), 71.Search in Google Scholar

[6] Hong, C. (2018). Construction of corpus in Artificial Intelligence age. In MATEC Web of Conferences (Vol. 175, p. 03037). EDP Sciences. HongC. (2018). Construction of corpus in Artificial Intelligence age. In MATEC Web of Conferences (Vol. 175, p. 03037). EDP Sciences.Search in Google Scholar

[7] Hunston, S. (2022). Corpora in applied linguistics. Cambridge University Press. HunstonS. (2022). Corpora in applied linguistics. Cambridge University Press.Search in Google Scholar

[8] McEnery, T. (2019). Corpus linguistics. Edinburgh University Press. McEneryT. (2019). Corpus linguistics. Edinburgh University Press.Search in Google Scholar

[9] Gries, S. T., & Berez, A. L. (2017). Linguistic annotation in/for corpus linguistics. Handbook of linguistic annotation, 379-409. GriesS. T. & BerezA. L. (2017). Linguistic annotation in/for corpus linguistics. Handbook of linguistic annotation, 379-409.Search in Google Scholar

[10] Lindquist, H. (2018). Corpus linguistics and the description of English. Edinburgh University Press. LindquistH. (2018). Corpus linguistics and the description of English. Edinburgh University Press.Search in Google Scholar

[11] Pelcz, K. (2022). A multimedia corpus for language teaching purposes: the MagyarOK video corpus. Studi Finno-Ugrici, ns, 2, 1-20. PelczK. (2022). A multimedia corpus for language teaching purposes: the MagyarOK video corpus. Studi Finno-Ugrici, ns, 2, 1-20.Search in Google Scholar

[12] Al-Maadeed, S., AlJa’am, J., Khalifa, B., & Abou Elsaud, S. (2021, April). MOALLEMCorpus: A large-scale multimedia corpus for children education of Arabic vocabularies. In 2021 IEEE Global Engineering Education Conference (EDUCON) (pp. 885-890). IEEE. Al-MaadeedS.AlJa’amJ.KhalifaB. & Abou ElsaudS. (2021, April). MOALLEMCorpus: A large-scale multimedia corpus for children education of Arabic vocabularies. In 2021 IEEE Global Engineering Education Conference (EDUCON) (pp. 885-890). IEEE.Search in Google Scholar

[13] Yu, S., Zhou, Y., & Zhang, E. D. (2022). Discourses of writing and learning to write in L2 writing curriculum in Chinese universities. Language Teaching Research, 13621688221113929. YuS.ZhouY. & ZhangE. D. (2022). Discourses of writing and learning to write in L2 writing curriculum in Chinese universities. Language Teaching Research, 13621688221113929.Search in Google Scholar

[14] Yeung, P. S., Ho, C. S. H., Chan, D. W. O., & Chung, K. K. H. (2017). A simple view of writing in Chinese. Reading Research Quarterly, 52(3), 333-355. YeungP. S.HoC. S. H.ChanD. W. O. & ChungK. K. H. (2017). A simple view of writing in Chinese. Reading Research Quarterly, 52(3), 333-355.Search in Google Scholar

[15] Hsiang, T. P., & Graham, S. (2016). Teaching writing in grades 4–6 in urban schools in the Greater China Region. Reading and Writing, 29, 869-902. HsiangT. P. & GrahamS. (2016). Teaching writing in grades 4–6 in urban schools in the Greater China Region. Reading and Writing, 29, 869-902.Search in Google Scholar

[16] Hsiang, T. P., Graham, S., & Yang, Y. M. (2020). Teachers’ practices and beliefs about teaching writing: A comprehensive survey of grades 1 to 3 teachers. Reading and writing, 33(10), 2511-2548. HsiangT. P.GrahamS. & YangY. M. (2020). Teachers’ practices and beliefs about teaching writing: A comprehensive survey of grades 1 to 3 teachers. Reading and writing, 33(10), 2511-2548.Search in Google Scholar

[17] Kaya, Ö. F., Uzun, K., & Cangır, H. (2022). Using corpora for language teaching and assessment in L2 writing: A narrative review. Focus on ELT Journal, 4(3), 46-62. KayaÖ. F.UzunK. & CangırH. (2022). Using corpora for language teaching and assessment in L2 writing: A narrative review. Focus on ELT Journal, 4(3), 46-62.Search in Google Scholar

[18] Curry, N., & Riordan, E. (2021). Intelligent CALL systems for writing development: investigating the use of write & improve for developing written language and writing skills. In CALL Theory Applications for Online TESOL Education (pp. 252-273). IGI Global. CurryN. & RiordanE. (2021). Intelligent CALL systems for writing development: investigating the use of write & improve for developing written language and writing skills. In CALL Theory Applications for Online TESOL Education (pp. 252-273). IGI Global.Search in Google Scholar

[19] Górski, A., & Ogorzałek, M. J. (2016). Assignment of unexpected tasks in embedded system design process. Microprocessors and Microsystems, 44, 17-21. GórskiA. & OgorzałekM. J. (2016). Assignment of unexpected tasks in embedded system design process. Microprocessors and Microsystems, 44, 17-21.Search in Google Scholar

[20] Wang, J. (2017). Real-time embedded systems. John Wiley & Sons. WangJ. (2017). Real-time embedded systems. John Wiley & Sons.Search in Google Scholar

[21] Min-Allah, N., Qureshi, M. B., Alrashed, S., & Rana, O. F. (2019). Cost efficient resource allocation for real-time tasks in embedded systems. Sustainable Cities and Society, 48, 101523. Min-AllahN.QureshiM. B.AlrashedS. & RanaO. F. (2019). Cost efficient resource allocation for real-time tasks in embedded systems. Sustainable Cities and Society, 48, 101523.Search in Google Scholar

[22] Zhou, J. (2020). Real-time task scheduling and network device security for complex embedded systems based on deep learning networks. Microprocessors and Microsystems, 79, 103282. ZhouJ. (2020). Real-time task scheduling and network device security for complex embedded systems based on deep learning networks. Microprocessors and Microsystems, 79, 103282.Search in Google Scholar

[23] Zheng, W., Wu, H., & Nie, C. (2017). Integrating task scheduling and cache locking for multicore real-time embedded systems. ACM Sigplan Notices, 52(5), 71-80. ZhengW.WuH. & NieC. (2017). Integrating task scheduling and cache locking for multicore real-time embedded systems. ACM Sigplan Notices, 52(5), 71-80.Search in Google Scholar

[24] Taheri, G., Khonsari, A., Entezari-Maleki, R., & Sousa, L. (2020). A hybrid algorithm for task scheduling on heterogeneous multiprocessor embedded systems. Applied Soft Computing, 91, 106202. TaheriG.KhonsariA.Entezari-MalekiR. & SousaL. (2020). A hybrid algorithm for task scheduling on heterogeneous multiprocessor embedded systems. Applied Soft Computing, 91, 106202.Search in Google Scholar

[25] Gong, T., Fan, T., Guo, J., & Cai, Z. (2017). GPU-based parallel optimization of immune convolutional neural network and embedded system. Engineering Applications of Artificial Intelligence, 62, 384-395. GongT.FanT.GuoJ. & CaiZ. (2017). GPU-based parallel optimization of immune convolutional neural network and embedded system. Engineering Applications of Artificial Intelligence, 62, 384-395.Search in Google Scholar

[26] Zhang, M., Zheng, N., Li, H., & Gu, Z. (2018). A decomposition-based approach to optimization of TTP-based distributed embedded systems. Journal of Systems Architecture, 91, 53-61. ZhangM.ZhengN.LiH. & GuZ. (2018). A decomposition-based approach to optimization of TTP-based distributed embedded systems. Journal of Systems Architecture, 91, 53-61.Search in Google Scholar

[27] Ewelina Mitera Kiełbasa & Krzysztof Zima. (2024). Automated Classification of Exchange Information Requirements for Construction Projects Using Word2Vec and SVM. Infrastructures(11),194-194. KiełbasaEwelina Mitera & ZimaKrzysztof. (2024). Automated Classification of Exchange Information Requirements for Construction Projects Using Word2Vec and SVM. Infrastructures(11),194-194.Search in Google Scholar

[28] Vandana Yadav, Parul Verma& Vinodini Katiyar. (2023). Enhancing sentiment analysis in Hindi for E-commerce companies: a CNN-LSTM approach with CBoW and TF-IDF word embedding models. International Journal of Information Technology(prepublish),1-16. YadavVandanaKatiyarParul Verma& Vinodini. (2023). Enhancing sentiment analysis in Hindi for E-commerce companies: a CNN-LSTM approach with CBoW and TF-IDF word embedding models. International Journal of Information Technology(prepublish),1-16.Search in Google Scholar

[29] Chintawar Suyash,Kulkarni Rakshit & Patil Nagamma. (2023). OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features. SN Computer Science(5). SuyashChintawarRakshitKulkarni & NagammaPatil. (2023). OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features. SN Computer Science(5).Search in Google Scholar

[30] Sami Mnasri,Dorsaf Salah & Hanen Idoudi. (2024). A hybrid blockchain and federated learning attention-based BERT transformer framework for medical records management. The Journal of Supercomputing(1), 317-317. MnasriSamiSalahDorsaf & IdoudiHanen. (2024). A hybrid blockchain and federated learning attention-based BERT transformer framework for medical records management. The Journal of Supercomputing(1), 317-317.Search in Google Scholar