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of 15
pro vyhledávání: '"Abeer Alsheddi"'
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 2:553-561
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 2:291-301
Autor:
Sarra Alqahtani, Rose Gamble
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 2:449-459
Autor:
SHADDRACK YAW NUSENU
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 2:227-232
Autor:
Fatma Abdelhedi, Nabil Derbel
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 2:513-519
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
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