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Please use this identifier to cite or link to this item: http://hdl.handle.net/10077/4105

Title: Hamming-like Distances for Ill-defined Strings in Linguistic Classification
Authors: Bortolussi, Luca
Sgarro, Andrea
Keywords: String Distances
Hamming Distance
Fuzzy Distances
Computational Linguistics
Linguistic Classification
Incomplete Knowledge
Issue Date: 2007
Publisher: EUT Edizioni Università di Trieste
Citation: Luca Bortolussi, Andrea Sgarro, "Hamming-like Distances for Ill-defined Strings in Linguistic Classification”, in: Rendiconti dell’Istituto di Matematica dell’Università di Trieste. An International Journal of Mathematics, 39 (2007), pp. 105-118.
Series/Report no.: Rendiconti dell’Istituto di Matematica dell’Università di Trieste. An International Journal of Mathematics
39 (2007)
Abstract: Ill-defined strings often occur in soft sciences, e.g. in linguistics or in biology. In this paper we consider \ell-length strings which have in each position one of the three symbols 0 or false, 1 or true, \flat or irrelevant. We tackle some generalisations of the usual Hamming distance between binary crisp strings which were recently used in computational linguistics. We comment on their metric properties, since these should guide the selection of the clustering algorithm to be used for language classification. The concluding section is devoted to future work, and the string approach, as currently pursued, is compared to alternative approaches.
URI: http://hdl.handle.net/10077/4105
ISSN: 0049-4704
Appears in Collections:Rendiconti dell' Istituto di matematica dell‘ Università di Trieste: an International Journal of Mathematics vol.39 (2007)

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