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pro vyhledávání: '"Ahmed Khorsi"'
Publikováno v:
Cybernetics and Information Technologies. 18:124-138
Measuring the amount of shared information between two documents is a key to address a number of Natural Language Processing (NLP) challenges such as Information Retrieval (IR), Semantic Textual Similarity (STS), Sentiment Analysis (SA) and Plagiaris
Autor:
Abeer Alsheddi, Ahmed Khorsi
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 2, Iss 3, Pp 100-110 (2017)
The unsupervised morphology processing in the emerging mutant languages has the advantage over the human/supervised processing of being more agiler. The main drawback is, however, their accuracy. This article describes an unsupervised morphemes ident
Autor:
Abeer Alsheddi, Ahmed Khorsi
Publikováno v:
2018 1st International Conference on Computer Applications & Information Security (ICCAIS).
It is difficult to identify an affix letter from a root letter in a given word in many NLP applications. This challenge is even harder in morphologically complex languages, such as Arabic. This paper investigates to identify affix letters using proba
Autor:
Abeer Alsheddi, Ahmed Khorsi
Publikováno v:
International Journal of Intelligent Systems Technologies and Applications. 18:340
Automated word generation might be seen as the reverse process of morphology learning. The aim is to automatically coin valid words in the targeted language. As many other challenges in the field of natural language processing (NLP), the building of
Autor:
Abeer Alsheddi, Ahmed Khorsi
Publikováno v:
2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT).
The main drawback of unsupervised approaches in Natural Language Processing (NLP) is often their low accuracy. Nevertheless, they remain a practical shortcut to accommodate a language that lacks theorization and/or computerization. The present articl
Publikováno v:
AICCSA
Text search is the basis of countless applications and techniques. It is constrained by space and time resource limitations inherent in different contexts and scenarios. A common approach to minimize the cost of the general search task is to start by
Autor:
Abeer Alsheddi, Ahmed Khorsi
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
Assessment of the similarities between texts has been studied for decades from different perspectives and for several purposes. One interesting perspective is the morphology. This article reports the results on a study on the assessment of the morpho
Autor:
Ahmed Khorsi
Publikováno v:
Natural Language Engineering. 19:537-555
In this paper, we discuss the results of a new unsupervised and computationally lightweight scoring of how two words are morphologically related to each other. This measure is meant to be an alternative to stemming, radicals (root) extraction, and mo
Autor:
Ahmed Khorsi
Publikováno v:
COMPUTING AND INFORMATICS; Vol 26, No 2 (2007): Computing and Informatics; 123-147
Machine learning and knowledge representation are two fields of artificial intelligence that lead with intelligent reasoning, each one differently. When Knowledge Representation (KR) focuses more on the epistemological face of knowledge to carry out
Publikováno v:
Journal of Discrete Algorithms. (3):433-448
The most efficient known construction of equation automaton is that due to Ziadi and Champarnaud. For a regular expression E, it requires O(|E|2) time and space and is based on going from position automaton to equation automaton using c-continuations