Possibilistic Morphological Disambiguation of Structured Hadiths Arabic Texts using Semantic Knowledge

Raja Ayed, Bilel Elayeb, Narjès Bellamine Ben Saoud

Abstract

We propose, in this paper, a possibilistic morphological approach to disambiguate hadiths Arabic texts using semantic knowledge. The disambiguation is considered as a classification problem. The possibilistic approach uses vocalized texts to train a possibilistic classifier in order to classify non-vocalized texts as they are more ambiguous. Morphological attributes are used for training and test. Hadiths are structured in XML format that provides semantic information. We enlarge the classification attributes’ set by adding semantic attributes extracted from the hadiths structure. We prove that the possibilistic approach gives the best rates using AlKhalil analyzer to prepare the training and the test sets. Our proposed possibilistic approach enhances disambiguation rates of Arabic hadiths’ texts when it includes semantic knowledge.

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Paper Citation


in Harvard Style

Ayed R., Elayeb B. and Bellamine Ben Saoud N. (2018). Possibilistic Morphological Disambiguation of Structured Hadiths Arabic Texts using Semantic Knowledge.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 565-572. DOI: 10.5220/0006651105650572


in Bibtex Style

@conference{icaart18,
author={Raja Ayed and Bilel Elayeb and Narjès Bellamine Ben Saoud},
title={Possibilistic Morphological Disambiguation of Structured Hadiths Arabic Texts using Semantic Knowledge},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={565-572},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006651105650572},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Possibilistic Morphological Disambiguation of Structured Hadiths Arabic Texts using Semantic Knowledge
SN - 978-989-758-275-2
AU - Ayed R.
AU - Elayeb B.
AU - Bellamine Ben Saoud N.
PY - 2018
SP - 565
EP - 572
DO - 10.5220/0006651105650572