Potensi Dan Cabaran Kecerdasan Buatan (AI) dalam Bidang Bahasa Melayu

Authors

  • Diana Jumadi Fakulti Bahasa dan Komunikasi, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia
  • Nor Sahara Mesman Fakulti Bahasa dan Komunikasi, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia
  • Nur Hidayah Rashidi Fakulti Bahasa dan Komunikasi, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia
  • Patricia Ganing Fakulti Bahasa dan Komunikasi, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia

DOI:

https://doi.org/10.37134/pendeta.vol15.2.8.2024

Keywords:

kecerdasan buatan, bahasa Melayu, inovasi linguistik, pemprosesan bahasa semula jadi, personalisasi pembelajaran

Abstract

Kecerdasan Buatan (AI) telah menjadi topik perbincangan utama dalam dunia teknologi moden kini kerana AI menjanjikan kemajuan yang signifikan dalam pelbagai bidang, termasuk bidang bahasa. Dalam konteks bahasa Melayu, AI mempunyai potensi yang besar untuk memperkaya penggunaan bahasa Melayu dan mengubah cara interaksi sosial serta budaya masyarakat kini. Teknologi AI telah menghasilkan projek inovatif untuk memperbaiki komunikasi silang budaya yang memberi inovasi linguistik dalam bahasa Melayu. Dengan itu, AI mampu mewujudkan dimensi baharu dalam pemahaman linguistik, komunikasi, dan pertukaran budaya, khususnya dalam bahasa Melayu. Objektif kajian ini adalah unutk mengenal pasti potensi Al dalam memperkaya dan memperluas penggunaan bahasa Melayu. Selain itu, artikel ini akan mengenal pasti cabaran yang dihadapi dalam memanfaatkan AI dalam konteks bahasa Melayu, seperti kekurangan data yang berkualiti dan jurang teknologi di kawasan terpencil. Artikel yang dihasilkan dengan menggunakan pendekatan kualitatif dan pendekatan deskriptif ini membincangkan secara ringkas tentang potensi AI dalam bidang bahasa Melayu, termasuk Pemprosesan Bahasa Semula Jadi (NLP) dan personalisasi pembelajaran. Melalui artikel ini, pengkaji berharap agar dapat memberikan pemahaman yang lebih mendalam tentang potensi AI dalam memajukan bahasa Melayu dan memberikan pandangan yang jelas tentang arah penelitian dan pengembangan pada masa akan datang.

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References

Ashraf Alam. (2021). Possibilities and apprehensions in the landscape of artificial intelligence in education. 2021 International Conference on Computational Intelligenge and Computing Applications, 1-8. http://dx.doi.org/10.1109/ICCICA52458.2021.9697272

Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on oppurtunities, challenges, and future research recommendations of artificial intelligence in education. Computer and Education: Artifial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118.

Creswell, J. W. (2001). Educational research: planning, conducting, and evaluating quantitative and qualitative research. http://ci.nii.ac.jp/ncid/BB26859968

Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, research issues and applications of artificial intelligence in language education. Educational Technology & Society, 26(1), 112-131. https://doi.org/10.30191/ETS.202301_26(1).0009

Irma Wani Othman, Mohd Maziz al-Hadi Moharam, Hamida Ambo, Siti Maizurah Abd. Salam, Mohd Khairi Lebai Ahmad, & Muhammad Safwan Yusoff. (2023). Enhancing the role of the Malay Language (MBM) in knowledge augmentation, practical application, skill development, and attitidinal growth. Journal of Tourism, Hospitality and Environment Management, 8(34), 113-142. https://gaexcellence.com/jthem/article/view/2551/2218

Jia, F., Sun, D., Ma, Q., & Looi, C.-K. (2022). Developing an AI-based learning system for L2 learners’ authentic and ubiquitous learning in English language. Sustainability, 14, 15527. https://doi.org/10.3390 /su142315527.

Larson, B. (2017). Gender as a variable in Natural-Language Processing: Ethical considerations. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, Valencia, Spain. Association for Computational Linguistics. https://aclanthology.org/W17-1601

Lin, C. C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10, 41. https://doi.org/10. 1186/s40561-023-00260-y.

Muhammad Khairul Ahmad, Nurul Munirah Azamri, Khamizatul Bazura Idris, & Airil Haimi Mohd Adnan. (2019). Education 4.0 technologies for English language teaching and learning in the Malaysia Context. Proceedings: International Invention, Innovative & Creative Conference. https://www.researchgate.net/publication/337146655_Education_40_Technologies_for_English_Language_Teaching_and_Learning_in_the_Malaysian_Context

Muhammad Fakhrur Razi Abu Bakar, Norisma Idris, Liyana Shuib, & Norazlina Khamis. (2020). Sentiment analysis of noisy Malay text: State of art, challenges and future work. IEEE Access, 8, 24687-24696. https://doi.org/10.1109/access.2020.2968955

Mukhlis Amien. (2023). Sejarah dan perkembangan teknik Natural Language Processing (NLP) bahasa Indonesia: Tinjauan tentang sejarah, perkembangan teknologi, dan aplikasi NLP dalam bahasa Indonesia. Cornell University. https://doi.org/10.48550/arXiv.2304.02746

Nandasara, S. T., Mikami, Y., Mohideen, A. I. C., & Tharangie, K. G. D. (2019). Automated language translation: Opportunities and impact on the society. International Journal of Computer Application, 178 (34), 41-50. https://www.researchgate.net/publication/334545441_Automated_Language_Translation_ Opportunities_and_Impact_on_the_Society

Noor Zuhidayah Muhd Zulkifli, Wan Muna Ruzanna Wan Mohamad, Shahlan Surat, & Jamaludin Badusah. (2019). Aspek budaya Melayu dalam pengajaran dan pembelajaran bahasa Melayu sebagai bahasa asing. PENDETA, 10, 121–133. https://doi.org/10.37134/pendeta.vol10.9.2019

Nurul Akhmal Mohd Zulkefli, Haslinda Hashim, Azniah Ismail, & Juraini Jamauddin. (2018). Effect of using virtual learning environment in teaching and learning Malay language. The International Journal of Multimedia & Its Applications, 10(6). 14-29. https://aircconline.com/ijma/V10N6/10618ijma02.pdf

Russel, S., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed). Pearson Education.

Sahoo, C., Wankhade, M. & Singh, B. K. (2023). Sentiment analysis using deep learning techniques: A comprehensive review. International Journal of Multimedia Information Retrieval, 12(41). https://doi.org/10.1007/s13735-023-00308-2.

Saleha Omar, Juhaida Abu Bakar, Maslinda Mohd. Nadzir, Nor Hazlyna Harun, & Nooraini Yusoff. (2021). Text simplification for Malay corpus: A review. International Conference on Computer & Information Sciences, 345-350. https://doi.org/N 10.1109/ICCOINS49721.2021.9497167.

Schnabel, T., Bennett, P. N., & Joachims, T. (2018). Improving recommender systems beyond the algorithm. https://doi.org/10.48550/arXiv.1802.07578.

Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial intelligence: Definition and background. In: Mission AI. Research for Policy. Springer, Cham. https://doi.org/10.1007/978-3-031-21448-6_2

Sidek Mohd Noah. (2002). Reka bentuk penyelidikan: Falsafah, teori dan praktis. UPM Press.

Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the power of AI to education. In: Learning, teaching, and assessment methods for contemporary learners. Springer Nature. https://doi.org/10.1007/978-981-19-6734-4_13

Syed Abdul Basit Andrabi, & Abdul Wahid. (2021). A review of machine translation for South Asian low resource languages. Turkish Journal of Computer and Mathematics Education, 12(5), 1134-1147. https://turcomat.org/index.php/turkbilmat/article/view/1777

Tanveer, M., Hassan, S., & Bhaumik, A. (2020). Academic policy regarding sustainability and artificial intelligence (AI). Sustainability, 12(22), 9435. https://doi.org/10.3390/su12229435

Tian, Z., Sun, M., Liu, A., Sarkar, S., & Liu, J. (2024). Enhancing instructional quality: Leveraging computer-assisted textual analysis to generate in-depth insights from educational artifacts. https://doi.org/10.48550/arXiv.2403.03920

Triputra, S., & Atqiya, F. (2021). Implementation of Natural Language Processing in seller-bot for SMEs. Journal of Physics: Conference Series, 1764. https://iopscience.iop.org/article/10.1088/1742-6596/1764/1/012069/pdf

Wassink, A. B., Gansen, C., & Bartholomew, I. (2022). Uneven success: Automatic speech recognition and ethnicity-related dialects. Speech Communication, 140, 50-70. https://doi.org/10.1016/j.specom.2022 .03.009

Xiao, C. (2021). Comparison of differences between artificial intelligence translation and artificial translation. Journal of Physics: Conference Series, 1992(2), 022079. https://doi.org/10.1088/1742-6596/1992/2/022079

Zainaba Omar, Mahzan Arshad, & Norliza Jamaludin. (2020). Pengajaran dan pembelajaran berasaskan tugasan meningkatkan motivasi dan keyakinan bertutur bahasa Melayu dalam kalangan murid sekolah rendah. PENDETA, 11(1), 122–132. https://doi.org/10.37134/pendeta.vol11.1.9.2020

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Published

2024-12-17

How to Cite

Jumadi, D., Mesman, N. S., Rashidi, N. H., & Ganing, P. (2024). Potensi Dan Cabaran Kecerdasan Buatan (AI) dalam Bidang Bahasa Melayu. PENDETA, 15(2), 108–118. https://doi.org/10.37134/pendeta.vol15.2.8.2024