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Authors: Arus Kunkhet ; Bernadette Sharp and Len Noriega

Affiliation: Staffordshire University, United Kingdom

ISBN: 978-989-8565-16-7

Keyword(s): Shape Grammar; Natural Language Processing; Harmony; Context; Humanoid

Abstract: Currently shape grammars are designed for static models and applied in limited domains. They demand extensive user skills and cannot guarantee aesthetic results. Although the current approaches to shape grammar produce infinite designs the final designs lack context and harmony. The aim of this paper is to address the contextual and harmonisation issues in shape grammar by proposing a shape grammar framework inspired by the field of natural language processing. The new shape grammar framework make use of the four levels of analysis namely lexical, syntactic, semantic, and pragmatic levels, to enhance the overall design process. In satisfying these semantically and pragmatically well-formed constraints, the generated shapes can be contextual and harmonious.

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Paper citation in several formats:
Kunkhet, A.; Sharp, B. and Noriega, L. (2012). Natural Language Processing based Shape Grammar.In Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2012) ISBN 978-989-8565-16-7, pages 15-23. DOI: 10.5220/0004085100150023

@conference{nlpcs12,
author={Arus Kunkhet. and Bernadette Sharp. and Len Noriega.},
title={Natural Language Processing based Shape Grammar},
booktitle={Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2012)},
year={2012},
pages={15-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004085100150023},
isbn={978-989-8565-16-7},
}

TY - CONF

JO - Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2012)
TI - Natural Language Processing based Shape Grammar
SN - 978-989-8565-16-7
AU - Kunkhet, A.
AU - Sharp, B.
AU - Noriega, L.
PY - 2012
SP - 15
EP - 23
DO - 10.5220/0004085100150023

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