Results 61 to 70 of about 5,167 (235)
International Journal of Applied Linguistics, EarlyView.Abstract In this article, we juxtapose two international contexts of higher education to critically examine both the situated complexity of (restrictive) ideologies of multilingualism and the ways such ideologies inform multilingual students’ choices of language use that contribute to their own epistemic exclusion in Canada and Germany.
Sílvia Melo‐Pfeifer, Vander Tavares
wiley +1 more source
Fracturing combined Arabic and dialects of the Arabian Peninsula Ass.Lecture Rana Alaa Badri
مجلة اداب ذي قارThe Arabic language is one of the dialects of the Arabian Peninsula, as Khalil bin Ahmad al-Farahidi (175 AH) pointed out the relationship between Arabic and one of its sisters, saying:)) Canaan son of Shem son of Noah, to him belong the Canaanites and ...
م.م رنا علاء بدري +1 more
doaj +1 more source
Camelira: An Arabic Multi-Dialect Morphological Disambiguator [PDF]
arXiv, 2022 We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine. Camelira offers a user-friendly web interface that allows researchers and language learners to explore various linguistic information, such as part-of-speech ...
arxiv
English‐Only Policies and Allegations of Racism in Nursing: Safety, Culture and Respect Prevail
Journal of Advanced Nursing, EarlyView.ABSTRACT Aims To provide a critical analysis of the allegation that introduction of workplace English‐Only policies for nurses may be racist. To provide guidance to inform policy development in this field. Methods The intertwined complexities informing English‐Only policy development are explored inclusive of the complicated relationship between ...
Sharon Brownie, Linda Chalmers
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
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic [PDF]
arXiv, 2022 The use of multilingual language models for tasks in low and high-resource languages has been a success story in deep learning. In recent times, Arabic has been receiving widespread attention on account of its dialectal variance. While prior research studies have tried to adapt these multilingual models for dialectal variants of Arabic, it still ...
arxiv
An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction [PDF]
arXiv, 2021 Natural Language Processing (NLP) is today a very active field of research and innovation. Many applications need however big sets of data for supervised learning, suitably labelled for the training purpose. This includes applications for the Arabic language and its national dialects.
arxiv
Machine translation for Arabic dialects (survey) [PDF]
Information Processing & Management, 2019 Arabic dialects also called colloquial Arabic or vernaculars are spoken varieties of Standard Arabic. These dialects have mixed form with many variations due to the influence of ancient local tongues and other languages like European ones. Many of these dialects are mutually incomprehensible.
Salima Harrat +2 more
openaire +3 more sources
Applied Sciences, 2018 The statistical machine translation for the Arabic language integrates external linguistic resources such as part-of-speech tags. The current research presents a Bidirectional Long Short-Term Memory (Bi-LSTM)—Conditional Random Fields (CRF) segment-
Laith H. Baniata +2 more
doaj +1 more source
Post-hoc analysis of Arabic transformer models [PDF]
arXiv, 2022 Arabic is a Semitic language which is widely spoken with many dialects. Given the success of pre-trained language models, many transformer models trained on Arabic and its dialects have surfaced. While there have been an extrinsic evaluation of these models with respect to downstream NLP tasks, no work has been carried out to analyze and compare their ...
arxiv