Syllabification with Frequent Sequence Patterns - A Language Independent Approach

Adrian Bona; Camelia Lemnaru; Rodica Potolea

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Paper

Syllabification with Frequent Sequence Patterns - A Language Independent Approach

Topics: Mining Text and Semi-Structured Data

In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 0IC3K, 352-359, 2016 , Porto, Portugal

Authors: Adrian Bona ; Camelia Lemnaru and Rodica Potolea

Affiliation: Technical University of Cluj-Napoca, Romania

Keyword(s): Syllabification, Frequent Pattern Sequence, Language Independence, Graphs, Data Mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: In this paper we show how words represented as sequences of syllables can provide valuable patterns for achieving language independent syllabification. We present a novel approach for word syllabification, based on frequent pattern mining, but also a more general framework for syllabification. Preliminary evaluations on Romanian and English words indicated a word level accuracy around 77% for Romanian words and around 70% for English words. However, we believe the method can be refined in order to improve performance.

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Paper citation in several formats:

Bona, A.; Lemnaru, C. and Potolea, R. (2016). Syllabification with Frequent Sequence Patterns - A Language Independent Approach. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 352-359. DOI: 10.5220/0006069703520359

@conference{kdir16,
author={Adrian Bona. and Camelia Lemnaru. and Rodica Potolea.},
title={Syllabification with Frequent Sequence Patterns - A Language Independent Approach},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR},
year={2016},
pages={352-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006069703520359},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR
TI - Syllabification with Frequent Sequence Patterns - A Language Independent Approach
SN - 978-989-758-203-5
IS - 2184-3228
AU - Bona, A.
AU - Lemnaru, C.
AU - Potolea, R.
PY - 2016
SP - 352
EP - 359
DO - 10.5220/0006069703520359
PB - SciTePress