Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages
- DOI
- 10.1109/tpami.2023.3245886
- Published
- 2023-08
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2023.3245886,
title = {Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages},
author = {Enrico De Santis and Giovanni De Santis and Antonello Rizzi},
year = {2023},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2023.3245886},
url = {https://doi.org/10.1109/tpami.2023.3245886}
}RIS
TY - JOUR TI - Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages AU - Enrico De Santis AU - Giovanni De Santis AU - Antonello Rizzi PY - 2023 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2023.3245886 UR - https://doi.org/10.1109/tpami.2023.3245886 ER -
APA
Santis, E. D., Santis, G. D., & Rizzi, A. (2023). Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2023.3245886
Source records
- crossref · retrieved 2026-11-03T15:18:54.636Z