Zobrazeno 1 - 7
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pro vyhledávání: '"Abeer Alsheddi"'
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52adfe64b401372ddeb41799558b141
https://doi.org/10.14569/ijacsa.2023.0140336
https://doi.org/10.14569/ijacsa.2023.0140336
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e6b7c98915d0c63be59d97efc69649
https://astesj.com/v02/i03/p14/
https://astesj.com/v02/i03/p14/
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::504c1de2515d7181685e00d40347814f
https://doi.org/10.1109/cais.2018.8441938
https://doi.org/10.1109/cais.2018.8441938
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7719d01a968eb3aca46a1bc15f8257c0
https://doi.org/10.1504/ijista.2019.10021684
https://doi.org/10.1504/ijista.2019.10021684
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f01f88b57c55a2cdeea21b583050771
https://doi.org/10.1109/kacstit.2016.7756076
https://doi.org/10.1109/kacstit.2016.7756076
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d70c53117fc4603e91f88e48b60bef3c
https://doi.org/10.14569/ijacsa.2016.071047
https://doi.org/10.14569/ijacsa.2016.071047
Publikováno v:
International Journal of Advanced Computer Science and Applications. 3
Virtually all of today’s organizations store their data in huge databases to retrieve, manipulate and share them in an efficient way. Due to the popularity of databases for storing important and critical data, they are becoming subject to an overwh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518a271a3909ab038afb5ba6598c2781
https://doi.org/10.14569/specialissue.2013.030407
https://doi.org/10.14569/specialissue.2013.030407