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Poster
in
Workshop: Topology, Algebra, and Geometry in Machine Learning

The Shape of Words - topological structure in natural language data

Stephen Fitz


Abstract:

This paper presents a novel method, based on the ideas from algebraic topology, for the analysis of raw natural language text. The paper introduces the notion of a word manifold - a simplicial complex, whose topology encodes grammatical structure expressed by the corpus. Results of experiments with a variety of natural and synthetic languages are presented, showing that the homotopy type of the word manifold is influenced by linguistic structure. The analysis includes a new approach to the Voynich Manuscript - an unsolved puzzle in corpus linguistics. In contrast to existing topological data analysis approaches, we do not rely on the apparatus of persistent homology. Instead, we develop a method of generating topological structure directly from strings of words.

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