Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mohamed Al-Badrashiny"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 26, Iss 2, Pp 202-217 (2014)
The core contribution of this paper is to introduce a general neat scheme based on soft vector clustering for the dithering of multidimensional signals that works in any space of arbitrary dimensionality, on arbitrary number and distribution of quant
Externí odkaz:
https://doaj.org/article/9e9ffb316ee84eb8832e60020b5bdc49
Publikováno v:
WANLP@EACL
In this paper we present a system for automatic Arabic text diacritization using three levels of analysis granularity in a layered back off manner. We build and exploit diacritized language models (LM) for each of three different levels of granularit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eadce909a14a7a7c31f87442ca5382e
https://doi.org/10.18653/v1/w17-1321
https://doi.org/10.18653/v1/w17-1321
Autor:
Mohamed S. El-Mahallawy, Mohsen A. Rashwan, Waleed Nazih, Mohamed Al-Badrashiny, Mohamed S. Attia
Publikováno v:
Pattern Analysis and Applications. 18:507-521
This paper presents an optical character/text recognition (OCR) system for cursive scripts like those of Arabic, Urdu, Persian, Kurdish, etc. This OCR system is a large-scale one in the sense of architecture, training data size, and state-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::383446b42d99d62b317aea1563729ad0
https://doi.org/10.1007/s10044-014-0428-0
https://doi.org/10.1007/s10044-014-0428-0
Publikováno v:
Journal of Visual Communication and Image Representation. 25:349-360
One of the classic problems of digital image processing is to encode true-color images for the optimal viewing on displays with a limited set of colors. A major manifestation of optimal viewing in this regard is to maximally remove parasitic artifact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17801192eb4f139ec6e5c71a3ef5214f
https://doi.org/10.1016/j.jvcir.2013.10.008
https://doi.org/10.1016/j.jvcir.2013.10.008
Autor:
Abdulaziz Alharbi, Mohamed Al-Badrashiny, Mansour M. Alghamdi, Mohamed Alkanhal, Abdulaziz O. Al-Qabbany, Ali M. Areshey
Publikováno v:
AI Communications. 27:103-111
Essay writing is widely used for student performance assessment. This paper presents a hybrid automatic essay scoring system AES for Arabic essays. The system attempts at saving the time teachers spend on reading and scoring Arabic essays. It utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c221a8d874cce4c2c865b491ddb01c0a
https://doi.org/10.3233/aic-130586
https://doi.org/10.3233/aic-130586
Autor:
Mona Diab, Mohamed Al-Badrashiny
Publikováno v:
CodeSwitch@EMNLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8ad55cdedcaf20215aca614745ecbf
https://doi.org/10.18653/v1/w16-5813
https://doi.org/10.18653/v1/w16-5813
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 20:2111-2122
This paper presents a stochastic-based approach for misspelling correction of Arabic text. In this approach, a context-based two-layer system is utilized to automatically correct misspelled words in large datasets. The first layer produces a list in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e024b678d32a3b42730244254fc6fd04
https://doi.org/10.1109/tasl.2012.2197612
https://doi.org/10.1109/tasl.2012.2197612
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 19:166-175
This paper introduces a large-scale dual-mode stochastic system to automatically diacritize raw Arabic text. The first of these modes determines the most likely diacritics by choosing the sequence of full-form Arabic word diacritizations with maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc8ecd70d2eacb2dd591ec854424ee59
https://doi.org/10.1109/tasl.2010.2045240
https://doi.org/10.1109/tasl.2010.2045240
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 17:916-925
This paper introduces an Arabic text annotation tool called Fassiehreg. Via a sophisticated interactive GUI application, Fassiehreg makes it easy to build structured large standard written Arabic corpora, then allows the production of fundamental lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e4d10566295f7d55df90adffd61988
https://doi.org/10.1109/tasl.2009.2019298
https://doi.org/10.1109/tasl.2009.2019298
Publikováno v:
ANLP@ACL
In this paper, we describe our system HASP-2015 (Hybrid Arabic Spelling and Punctuation Corrector) in which we introduce significant improvements over our previous version HASP-2014 and with which we participated in the QALB2015 Second Shared Task on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47dfa7ba8d0870e3166aef4c25a43b61
https://doi.org/10.18653/v1/w15-3216
https://doi.org/10.18653/v1/w15-3216