NEH-Project Publications

USING DEEP LEARNING TECHNIQUES, WE HAVE SUCCESSFULLY RECOGNIZED THE CHARACTERS AND DETECTED AND RECOGNIZED WORDS ON SPANISH SEVENTEENTH CENTURY NOTARIZED DEEDS

Publications

  1. Shraboni Sarker, Ahmad Tamim Hamad, Hulayyil Alshammari, Viviana Grieco and Praveen Rao. “Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models.” In ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 5 pages, Hong Kong, 2024.

  2. Nouf Alrasheed, Shraboni Sarker, Viviana Grieco, and Praveen Rao, “Few-Shot Learning for Word Recognition in Handwritten Seventeenth-Century Spanish American Notary Records.” In 5th ACM International Conference of Multimedia in Asia (MM Asia), 5 pages, Taiwan, 2023.

  3. Shivika Prasanna, Nouf Alrasheed, Parshad Suthar, Pooja Purushatma, Praveen Rao, and Viviana Grieco - KGSAR: A Knowledge Graph-Based Tool for Managing Spanish Colonial Notary Records. In the 21st International Semantic Web Conference (ISWC 2022), China, 4 pages, 2022.

  4. Nouf Alrasheed, Praveen Rao, and Viviana Grieco "Character Recognition of Seventeenth Century Spanish American Notary Records Using Deep Learning In Digital Humanities Quarterly (DHQ) Journal, Vol. 15, No. 4, 16 pages, 2021 .
    Dataset employed in this research can be found here

  5. Nouf Alrasheed, Shivika Prasanna, Ryan Rowland, Praveen Rao, Viviana Grieco, and Martin Wasserman. "Evaluation of Deep Learning Techniques for Content Extraction in Spanish Colonial Notary Records" In 3rd Workshop on Structuring and Understanding of Multimedia Heritage Contents (SUMAC), co-located with ACM Multimedia 2021, pages 23-30, 2021.
    Dataset employed in this research can be found here

Video Demonstrating the Word Detection and Annotation Capabilities of Our Tool