Artigo Acesso aberto Revisado por pares

Language Trees and Zipping

2002; American Physical Society; Volume: 88; Issue: 4 Linguagem: Inglês

10.1103/physrevlett.88.048702

ISSN

1092-0145

Autores

Dario Benedetto, Emanuele Caglioti, Vittorio Loreto,

Tópico(s)

Computability, Logic, AI Algorithms

Resumo

In this Letter we present a very general method for extracting information from a generic string of characters, e.g., a text, a DNA sequence, or a time series. Based on data-compression techniques, its key point is the computation of a suitable measure of the remoteness of two bodies of knowledge. We present the implementation of the method to linguistic motivated problems, featuring highly accurate results for language recognition, authorship attribution, and language classification.

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