Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mohamed Boudchiche"'
Autor:
Mohamed Boudchiche, Azzeddine Mazroui
Publikováno v:
Applied Computing and Informatics, Vol 20, Iss 3/4, Pp 198-216 (2024)
We have developed in this paper a morphological disambiguation hybrid system for the Arabic language that identifies the stem, lemma and root of a given sentence words. Following an out-of-context analysis performed by the morphological analyser Alkh
Externí odkaz:
https://doaj.org/article/75bffb93c36f45bcae74557b189d99e4
Autor:
Mohamed Boudchiche, Azzeddine Mazroui, Mohamed Ould Abdallahi Ould Bebah, Abdelhak Lakhouaja, Abderrahim Boudlal
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 2, Pp 141-146 (2017)
AlKhalil Morpho Sys is a morphosyntactic analyzer of standard Arabic words taken out of context. The system analyzes either partially vowelized words or totally vowelized ones. In this paper, we present the second version of this analyzer. The correc
Externí odkaz:
https://doaj.org/article/eff616d6504f422c9f42694c2d15a37b
Autor:
Mohamed Boudchiche, Azzeddine Mazroui
Publikováno v:
Applied Computing and Informatics.
We have developed in this paper a morphological disambiguation hybrid system for the Arabic language that identifies the stem, lemma and root of a given sentence words. Following an out-of-context analysis performed by the morphological analyser Alkh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4cee3d83e775d85000851a8276a4a0b
https://doi.org/10.1016/j.aci.2020.02.002
https://doi.org/10.1016/j.aci.2020.02.002
Autor:
Mohamed Boudchiche, Azzeddine Mazroui
Publikováno v:
International Journal of Speech Technology. 22:563-573
We present in this article an Arabic lemmatizer that assigns to each word of an Arabic sentence, a single lemma taking into account the word context. The proposed system comprises two modules. The first one consists in an analysis out of context, bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4132ae4e1222d8068f83fc3637a6cffc
https://doi.org/10.1007/s10772-018-9528-3
https://doi.org/10.1007/s10772-018-9528-3
Autor:
Azzeddine Mazroui, Mohamed Boudchiche
Publikováno v:
2018 International Conference on Intelligent Systems and Computer Vision (ISCV).
In this paper, we present an Arabic root extraction system. It provides the root of each word of a given sentence. It is an indispensable tool for several natural language processing applications such as search engines, text classification and inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7412e26c6dabded354b3545d6282ffba
https://doi.org/10.1109/isacv.2018.8354062
https://doi.org/10.1109/isacv.2018.8354062
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319734996
ICALP
ICALP
Recent numbers put the Arabic language at around 250 million native speakers, making it the fifth spoken language regarding the number of speakers. Therefore, it has gained the interest of researchers in speech technologies in particular speech recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1f05b230d279c4295839515ef6497e
https://doi.org/10.1007/978-3-319-73500-9_4
https://doi.org/10.1007/978-3-319-73500-9_4
Publikováno v:
BDCA
Stemming is the main step used for handling the morphologically rich languages such as Arabic. It is usually used in several fields such as Natural Language Processing, Information Retrieval (IR), and Text Mining. The goal of stemming is reducing inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::709b5dafb8637a4b489ac2bd79a2da5e
https://doi.org/10.1145/3090354.3090371
https://doi.org/10.1145/3090354.3090371
Autor:
Abderrahim Boudlal, Mohamed Boudchiche, Azzeddine Mazroui, Abdelhak Lakhouaja, Mohamed Ould Abdallahi Ould Bebah
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 2, Pp 141-146 (2017)
AlKhalil Morpho Sys is a morphosyntactic analyzer of standard Arabic words taken out of context. The system analyzes either partially vowelized words or totally vowelized ones. In this paper, we present the second version of this analyzer. The correc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82614b83d3a0356d0faaaae19ac8740