A survey of arabic named entity recognition and classification

K Shaalan - Computational Linguistics, 2014 - direct.mit.edu
As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies …

Arabic cross-language information retrieval: a review

B Elayeb, I Bounhas - ACM Transactions on Asian and Low-Resource …, 2016 - dl.acm.org
Cross-language information retrieval (CLIR) deals with retrieving relevant documents in one
language using queries expressed in another language. As CLIR tools rely on translation …

Arabic information retrieval

K Darwish, W Magdy - Foundations and Trends® in …, 2014 - nowpublishers.com
In the past several years, Arabic Information Retrieval (IR) has garnered significant attention.
The main research interests have focused on retrieval of formal language, mostly in the …

Don't throw those morphological analyzers away just yet: Neural morphological disambiguation for Arabic

N Zalmout, N Habash - Proceedings of the 2017 Conference on …, 2017 - aclanthology.org
This paper presents a model for Arabic morphological disambiguation based on Recurrent
Neural Networks (RNN). We train Long Short-Term Memory (LSTM) cells in several …

[PDF][PDF] Automatic transliteration of romanized dialectal Arabic

M Al-Badrashiny, R Eskander, N Habash… - Proceedings of the …, 2014 - aclanthology.org
In this paper, we address the problem of converting Dialectal Arabic (DA) text that is written
in the Latin script (called Arabizi) into Arabic script following the CODA convention for DA …

[PDF][PDF] Dialectal to standard Arabic paraphrasing to improve Arabic-English statistical machine translation

W Salloum, N Habash - Proceedings of the first workshop on …, 2011 - aclanthology.org
This paper is about improving the quality of Arabic-English statistical machine translation
(SMT) on dialectal Arabic text using morphological knowledge. We present a light-weight …

Orthographic and morphological processing for English–Arabic statistical machine translation

A El Kholy, N Habash - Machine Translation, 2012 - Springer
Much of the work on statistical machine translation (SMT) from morphologically rich
languages has shown that morphological tokenization and orthographic normalization help …

The key challenges for Arabic machine translation

M Alkhatib, K Shaalan - Intelligent Natural Language Processing: Trends …, 2018 - Springer
Abstract Translating the Arabic Language into other languages engenders multiple linguistic
problems, as no two languages can match, either in the meaning given to the conforming …

[HTML][HTML] ADAM: Analyzer for dialectal Arabic morphology

W Salloum, N Habash - Journal of King Saud University-Computer and …, 2014 - Elsevier
Abstract While Modern Standard Arabic (MSA) has many resources, Arabic Dialects, the
primarily spoken local varieties of Arabic, are quite impoverished in this regard. In this …

[PDF][PDF] Automatic extraction of morphological lexicons from morphologically annotated corpora

R Eskander, N Habash, O Rambow - Proceedings of the 2013 …, 2013 - aclanthology.org
We present a method for automatically learning inflectional classes and associated lemmas
from morphologically annotated corpora. The method consists of a core …