Abstract
Scholars in the humanities often have to account exhaustively for the structure of large masses of data. Tree-diagrams implemented by means of suitable computer programs can be of considerable assistance in achieving a cohesive representation of the data. This paper discusses the respective merits of the two main approaches to tree representation and introduces a new method based on the use of unrooted trees. After a detailed examination of the topological properties of such trees, two algorithms are described. The second part of the paper consists in practical applications of the method of tree representation to a corpus of contemporary English poetry. Several sets of data made up of both lexical and grammatical items (adjectives, modals, auxiliaries and personal pronouns) have been submitted to the method. The findings are assessed in terms of their heuristic value in the light of modern linguistic theory and compared with the results obtained by means of more traditional statistical procedures.
N. X. Luong is a doctor of Sciences and a lecturer at the University of Nice. He is conducting research on algorithms in the field of discrete mathematics. He has, among other things, created several algorithms for the representation of data in the form of non-hierarchic trees.
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Michel Juillard teaches English at Nice University and is a member of the Unité de Recherche 9 of the CNRS. He obtained a Doctorat d'Etat in English linguistics from Paris VII University. His publications include L'Expression poétique chez Cecil Day Lewis, vocabulaire, syntaxe, métaphore, étude stylostatistique (Geneva and Paris: Slatkine, 1983), and many more articles on linguistics and stylistics. His present research centers on language variation, text linguistics and comparative stylistics.
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Juillard, M., Luong, N.X. Unrooted trees revisited: Topology and poetic data. Comput Hum 23, 215–225 (1989). https://doi.org/10.1007/BF00056144
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DOI: https://doi.org/10.1007/BF00056144