Towards Rhythmicity Analysis of Text using Empirical Mode Decomposition

Robertas Damasevicius, Jurgita Kapociute-Dzikiene, Marcin Wozniak

Abstract

The rhythmicity characteristics of the written text is still an under-researched topic as opposed to the similar research in the speech analysis domain. The paper presents a method for text deconstruction into text modes using Empirical Mode Decomposition (EMD). First, the text is encoded into a numerical sequence using a mapping table. Next, the resulting numerical sequence is decomposed into Intrinsic Mode Functions (IMFs) using EMD. The resulting text modes provide a basis for further analysis of a text as well as specific characteristics of the language of the text itself. The text modes are used further to derive the measures of text complexity (cardinality) and rhythmicity (frequency) as well as the visual representations (scalograms, convograms), which can provide important insights into the structure of the text itself. The application of EMD to text analysis allows to decompose text into basic harmonics, which can be attributed to the structural units of the text such as syllables, words, verses and stanzas. Higher order harmonics however can be observed only in the rhymed types of the text such as poetry.

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Paper Citation


in Harvard Style

Damasevicius R., Kapociute-Dzikiene J. and Wozniak M. (2017). Towards Rhythmicity Analysis of Text using Empirical Mode Decomposition.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 310-317. DOI: 10.5220/0006586803100317


in Bibtex Style

@conference{kdir17,
author={Robertas Damasevicius and Jurgita Kapociute-Dzikiene and Marcin Wozniak},
title={Towards Rhythmicity Analysis of Text using Empirical Mode Decomposition},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={310-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006586803100317},
isbn={978-989-758-271-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Towards Rhythmicity Analysis of Text using Empirical Mode Decomposition
SN - 978-989-758-271-4
AU - Damasevicius R.
AU - Kapociute-Dzikiene J.
AU - Wozniak M.
PY - 2017
SP - 310
EP - 317
DO - 10.5220/0006586803100317