The week's pick
Reseach Article
Deciphering the Indus Valley Script: Hierarchical Clustering and Dependency Tree Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 31 |
| Year of Publication: 2024 |
| Authors: R. Geetha Ramani, Kishor S. |
10.5120/ijca2024923836
|
R. Geetha Ramani, Kishor S. . Deciphering the Indus Valley Script: Hierarchical Clustering and Dependency Tree Analysis. International Journal of Computer Applications. 186, 31 ( Jul 2024), 5-16. DOI=10.5120/ijca2024923836
Abstract
This study introduces a pioneering methodology aimed at deciphering the enigmatic Indus script, leveraging advanced computational linguistic techniques in conjunction with the Interactive Corpus of Indus Texts (ICIT). The approach utilizes hierarchical clustering and dependency tree construction to organize symbols based on visual similarities and uncover grammatical structures within sequences of Indus script symbols. Through meticulous analysis, nuanced insights into the distribution, significance, and syntactic relationships of symbols are revealed. Notably, the investigation identifies patterns in frequently occurring combinations and their positional arrangements. Additionally, the study explores network properties of symbols, elucidating their centrality and contextual versatility within the script's semantic framework. Employing probabilistic models, the research investigates the predictive potential of positional patterns in reconstructing missing symbols, offering promising avenues for future decryption endeavors. Furthermore, multi-sequence alignment is utilized to identify underlying grammar patterns within the language. This innovative approach, coupled with substantive findings, contributes significantly to ongoing decipherment endeavors, shedding new light on one of humanity's oldest linguistic mysteries.
References
- Tsutomu Ito, Ryosuke Harakawa, Masahiro Iwahashi, "Word Clustering Using Graphical Lasso-Guided PCA for Trend Analysis of COVID-19", 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), pp.200-201, 2021
- R. Gherbaoui, N. Benamrane and M. Ouali, "A New Similarity Measure and Hierarchical Clustering Approach to Color Image Segmentation," 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), Bellevue, WA, USA, 2023, pp. 34-39, doi: 10.1109/IRI58017.2023.00014.
- J. Liu, D. Wang, S. Yu, X. Li, Z. Han and Y. Tang, "A Survey of Image Clustering: Taxonomy and Recent Methods," 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), Xining, China, 2021, pp. 375-380, doi: 10.1109/RCAR52367.2021.9517087.
- T. Yu and S. Gao, "Abstractive Text Summarization With Semantic Dependency Graph," 2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST), Guangzhou, China, 2023, pp. 567-570, doi: 10.1109/IAECST60924.2023.10502964.
- G. Liu, K. Wang, W. Liu and Y. Cao, "The Construction and Measure Method of Dependency Parsing Tree Model," 2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, 2019, pp. 1-4, doi: 10.1109/ICSESS47205.2019.9040816.
- Jelenik F (1997) Statistical Methods for Speech Recognition (MIT Press, Cambridge, MA).
- Manning C, Schu¨ tze H (1999) Foundations of Statistical Natural Language Processing (MIT Press, Cambridge, MA).
- Yadav N, et al. (2009) Statistical analysis of the Indus script using n-grams. arxiv: 0901.3017 (available at http://arxiv.org/abs/0901.3017).
- Drake AW (1967) Fundamentals of Applied Probability Theory (McGraw–Hill, New York).
- Rabiner LR (1989) A tutorial on Hidden Markov Models and selected applications in speech recognition. Proc IEEE 77:257–286. 13. Mahadevan I (1977) The Indus Script: Texts, Concordance, and Tables (Memoirs of Archaeological Survey of India, New Delhi, India)
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