Research on Ancient Text Recognition and Translation Assisted by Artificial Intelligence

[1]Kotansky, R. D. (2019). Textual amulets and writing traditions in the ancient world. Guide to the study of ancient magic, 507-554.Search in Google Scholar

[2]Wang, H. (2014). Writing and the ancient state: Early China in comparative perspective. Cambridge University Press.Search in Google Scholar

[3]Liu, Z. (2020). Optical character recognition and the smart ancient script database. Journal of Chinese Writing Systems, 4(4), 255-269.Search in Google Scholar

[4]Zhai, L. (2021). Ancient Literature and Art Based on Big Data. In 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems: DPTA 2020 (pp. 357-365). Springer Singapore.Search in Google Scholar

[5]Liu, J., Ma, X., Wang, L., & Pei, L. (2024). How Can Generative Artificial Intelligence Techniques Facilitate Intelligent Research into Ancient Books?. ACM Journal on Computing and Cultural Heritage.Search in Google Scholar

[6]Gao, L., Jia, C. H., & Wang, W. (2020). Recent advances in the study of ancient books on traditional Chinese medicine. World Journal of Traditional Chinese Medicine, 6(1), 61-66.Search in Google Scholar

[7]Dai, H. (2022). Teaching Reform of Ancient Literature Based on Credible BP Neural Network Technology in New Media Environment. Security and Communication Networks, 2022(1), 1507338.Search in Google Scholar

[8]Samira, A. T. T. I. A. (2024). Employing Artificial Intelligence Applications in Historical Research: Ancient Rome as a Model. PSYCHOLOGY AND EDUCATION, 61(8), 604-617.Search in Google Scholar

[9]Jiao, Y. (2022). Research on the Artistic Conception of Multimedia‐Assisted Ancient Poetry Based on AI Technology. Scientific Programming, 2022(1), 8538503.Search in Google Scholar

[10]Yongxiao, Z. H. E. N. G., & Hairong, D. U. A. N. (2020). Digitization of ancient books, digital humanities, and ancient chinese literary research: An interview with professor zheng yongxiao from chinese academy of social sciences. Journal of Jishou University (Social Sciences Edition), 41(2), 144.Search in Google Scholar

[11]Gu, L. (2021). Integration and optimization of ancient literature information resources based on big data technology. Mobile Information Systems, 2021(1), 6452418.Search in Google Scholar

[12]Neuman, Y., & Danesi, M. (2022). Interpreting through AI: A note on the possibility of weaving ancient traditions with novel technologies. Digital Scholarship in the Humanities, 37(4), 1119-1127.Search in Google Scholar

[13]Chen, C. (2024, January). Construction of Ancient Literature Shared Resource Database Based on Image Scanning and Recognition (OCR) Technology. In International Conference on Innovative Computing (pp. 212-223). Singapore: Springer Nature Singapore.Search in Google Scholar

[14]Locaputo, A., Portelli, B., Magnani, S., Colombi, E., & Serra, G. (2024). AI for the Restoration of Ancient Inscriptions: A Computational Linguistics Perspective. In Decoding Cultural Heritage: A Critical Dissection and Taxonomy of Human Creativity through Digital Tools (pp. 137-154). Cham: Springer Nature Switzerland.Search in Google Scholar

[15]Wang, J., Duan, S., Fu, B., Gao, L., & Su, Q. (2024). Evol project: a comprehensive online platform for quantitative analysis of ancient literature. Humanities and Social Sciences Communications, 11(1), 1-13.Search in Google Scholar

[16]Narang, S. R., Jindal, M. K., & Kumar, M. (2020). Ancient text recognition: a review. Artificial Intelligence Review, 53(8), 5517-5558.Search in Google Scholar

[17]Hamdany, A. H. S., Omar-Nima, R. R., & Albak, L. H. (2021). Translating cuneiform symbols using artificial neural network. TELKOMNIKA (Telecommunication Computing Electronics and Control), 19(2), 438-443.Search in Google Scholar

[18]Carpitella, A., & Carpitella, S. (2024, July). Artificial Intelligence Enriching Contributions from Multiple Perspectives in Ancient Text Analysis. In International Conference on Intelligent and Fuzzy Systems (pp. 167-175). Cham: Springer Nature Switzerland.Search in Google Scholar

[19]Sobhy, A., Helmy, M., Khalil, M., Elmasry, S., Boules, Y., & Negied, N. (2023). An AI Based Automatic Translator for Ancient Hieroglyphic Language—From Scanned Images to English Text. IEEE Access, 11, 38796-38804.Search in Google Scholar

[20]Verma, S., Gupta, N., Anil, B. C., & Chauhan, R. (2022). A Novel Framework for Ancient Text Translation Using Artificial Intelligence. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(4), 411-425.Search in Google Scholar

[21]Park, C., Lee, C., Yang, Y., & Lim, H. (2020). Ancient Korean neural machine translation. IEEE Access, 8, 116617-116625.Search in Google Scholar

[22]Wijerathna, K. N., Sepalitha, R., Indika, T., Athauda, H., Suranjini, P. D., Silva, J. A. D. C., & Jayakodi, A. (2019, December). Recognition and translation of Ancient Brahmi Letters using deep learning and NLP. In 2019 International Conference on Advancements in Computing (ICAC) (pp. 226-231). IEEE.Search in Google Scholar

[23]Huang, H., Yang, D., Dai, G., Han, Z., Wang, Y., Lam, K. M., ... & He, M. (2022, October). Agtgan: Unpaired image translation for photographic ancient character generation. In Proceedings of the 30th ACM international conference on multimedia (pp. 5456-5467).Search in Google Scholar

[24]Hong, G. (2019). The translation of historical documents and the study of Korean history using artificial intelligence. International Journal of Korean History, 24(2), 71-97.Search in Google Scholar

[25]Cao, M., De Cao, N., Colonna, A., & Lenci, A. (2024, August). Deep Learning Meets Egyptology: a Hieroglyphic Transformer for Translating Ancient Egyptian. In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) (pp. 71-86).Search in Google Scholar

[26]Mirza Raquib,Mohammad Amzad Hossain,Md Khairul Islam & Md Sipon Miah. (2024). VashaNet: An automated system for recognizing handwritten Bangla basic characters using deep convolutional neural network. Machine Learning with Applications100568-100568.Search in Google Scholar

[27]Nagwa Elaraby,Sherif Barakat & Amira Rezk. (2022). A Novel Siamese Network for Few/Zero-Shot Handwritten Character Recognition Tasks. Computers, Materials & Continua(1),1837-1854.Search in Google Scholar

[28]Yuchao Gao,Xin Yu,Qinghua Xia & Hong Zhang. (2024). Evaluation of Complex Shear Modulus of Recycled Asphalt Mortars Based on Euclidean Distance Method in the Mixing Process. International Journal of Pavement Research and Technology(prepublish),1-13.Search in Google Scholar

[29]Yizhuo Cui & Maocheng Liang. (2024). Automated Scoring of Translations with BERT Models: Chinese and English Language Case Study. Applied Sciences(5).Search in Google Scholar

[30]Chenglin Yu & Hailong Pei. (2024). Dynamic Weighting Translation Transfer Learning for Imbalanced Medical Image Classification. Entropy(5),400-.Search in Google Scholar