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Rank Distance with Applications in Similarity of Natural Languages

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Języki publikacji
EN
Abstrakty
EN
In this paper we introduce a metric for measuring the similarity between two classifications which differ by their constitutive elements. Our measure is inspired from natural language and genomics where the most important information is carried by the first part of the unit. We extend the measure to words and to rooted (un)labelled general trees. We use this metric to analyze the syllabic similarity of Romance languages.
Wydawca
Rocznik
Strony
135--149
Opis fizyczny
Bibliogr. 25 poz., tab., wykr.
Twórcy
autor
Bibliografia
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  • [5] R. Fagin, R. Kurnar, M. Mahdian, D. Sivakumar, E. Vee. Comparing and aggregating rankings with ties. In 2004 ACM Symposium on Principles of database systems (PODS 2004), to appear.
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  • [16] S. Marcus. Linguistic structures and generative devices in molecular genetics. Cahiers Ling. Theor. Appl., 11 (1974), 77–104.
  • [17] S. Marcus. An emergent triangle: semiotics-genomics-computation. In Proceedings of the Congress of the German Semiotic Society, Kassel, July 2002.
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  • [19] M. Sala (coordinator). Vocabularul reprezentativ al limbilor romanice, Bucureşti, 1982.
  • [20] A. Sgarro. A fuzzy Hamming distance, Bull. Math. de la Soc. Sci. Math de la Roumanie, 21(69), 1-2 (1977).
  • [21] E. Tanaka. A metric between unrooted and unordered trees and its bottom-up computing method. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 12, (1994), 1233–1238.
  • [22] J.T.L. Wang, K. Zhang. Finding similar consensus between trees: an algorithm and a distance hierarchy. Pattern Recognition, 34 (2001), 127–137.
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  • [25] A. Ziegler. Word Length in Romance Languages. A Complemental Contribution. Journal of Quantitative Linguistics, 7, 1 (2000), 65–68.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS2-0005-0117
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