Results 41 to 50 of about 584 (151)
International Journal of Urban and Regional Research, EarlyView.Abstract Marketplaces, crucial sites for low‐income populations as sources of affordable goods and social interaction, are at a critical juncture. They are experiencing decline due to the rise of shopping centres and neglect by public authorities, while at the same time being rediscovered as tourist attractions, sources of profit and tools for urban ...
Francesca Ru
wiley +1 more source
L2 Journal, 2011 Arabic is a diglossic language, and learners must become competent in both Modern Standard Arabic (MSA) and a spoken dialect. However, Arabic dialects are typically not taught in U.S. classrooms. One reason is the question of which dialect to teach? This
Emma Trentman
doaj
DAMSE: a dialect-aware multi-strategy ensemble framework for Arabic vishing detection with zero-shot learning [PDF]
PeerJ Computer ScienceVoice phishing (vishing) attacks targeting Arabic and Korean speakers represent a growing cybersecurity threat that demands automated detection systems capable of operating across diverse linguistic contexts.
Mohammed Tawfik +3 more
doaj +2 more sources
Towards a Dialect History of the Baggara Belt
Languages, 2021 The Baggara Belt constitutes the southernmost periphery of the Arabic-speaking world. It stretches over 2500 km from Nigeria to Sudan and it is largely inhabited by Arab semi-nomadic cattle herders.
Stefano Manfredi, Caroline Roset
doaj +1 more source
Multi-Dialect Arabic BERT for Country-Level Dialect Identification
CoRR, 2020 Accepted at the Fifth Arabic Natural Language Processing Workshop (WANLP2020) co-located with the 28th International Conference on Computational Linguistics (COLING'2020), Barcelona, Spain, 12 Dec ...
Bashar Talafha +7 more
openaire +3 more sources
Verifiably Effective Arabic Dialect Identification [PDF]
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014 Several recent papers on Arabic dialect identification have hinted that using a word unigram model is sufficient and effective for the task. However, most previous work was done on a standard fairly homogeneous dataset of dialectal user comments. In this paper, we show that training on the standard dataset does not generalize, because a unigram model ...
Kareem Darwish +2 more
openaire +1 more source
MENARA: Medical Natural Arabic Response Assistant
Machine Learning and Knowledge ExtractionDialectal variation presents a major challenge for deploying medical language models in real-world healthcare settings, where patient–clinician communication often occurs in regional vernaculars rather than standardized language forms.
Ahmed Ibrahim +6 more
doaj +1 more source
Sentiment Analysis of Emirati Dialect
Big Data and Cognitive Computing, 2022 Recently, extensive studies and research in the Arabic Natural Language Processing (ANLP) field have been conducted for text classification and sentiment analysis. Moreover, the number of studies that target Arabic dialects has also increased.
Arwa A. Al Shamsi, Sherief Abdallah
doaj +1 more source
Greek ΜΝΗΣΘΗ and Aramaic DKYR in the Near East: A Comparative Epigraphic Study
Arabian Archaeology and Epigraphy, EarlyView.ABSTRACT Past studies of graffiti containing the word ΜΝΗΣΘΗ have never fully established its intrinsic meaning. However, due to the existence of the Aramaic term DKYR, which carries a seemingly identical meaning to ΜΝΗΣΘΗ, in similar contexts in the Roman Near East, a comparison between both words is possible. Four distinct sites where the coexistence
Sebastien Mazurek
wiley +1 more source
The Particle rā- in Libyan Arabic Dialects (with Emphasis on the Arabic Dialect of Msallāta)
, 2017 Nie ...
openaire +2 more sources