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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation ... Nagoudi, El Moatez Billah; Elmadany, AbdelRahim; Abdul-Mageed, Muhammad. - : arXiv, 2021 BASE Show details 2 NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2021 BASE Show details 3 ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic ... Abdul-Mageed, Muhammad; Elmadany, AbdelRahim; Nagoudi, El Moatez Billah. - : arXiv, 2021 Abstract: Pre-trained language models (LMs) are currently integral to many natural language processing systems. Although multilingual LMs were also introduced to serve many languages, these have limitations such as being costly at inference time and the size and diversity of non-English data involved in their pre-training. We remedy these issues for a collection of diverse Arabic varieties by introducing two powerful deep bidirectional transformer-based models, ARBERT and MARBERT. To evaluate our models, we also introduce ARLUE, a new benchmark for multi-dialectal Arabic language understanding evaluation. ARLUE is built using 42 datasets targeting six different task clusters, allowing us to offer a series of standardized experiments under rich conditions. When fine-tuned on ARLUE, our models collectively achieve new state-of-the-art results across the majority of tasks (37 out of 48 classification tasks, on the 42 datasets). Our best model acquires the highest ARLUE score (77.40) across all six task clusters, ... : All authors contributed equally. The order is alphabetical ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2101.01785 https://arxiv.org/abs/2101.01785 BASE Hide details 4 AraT5: Text-to-Text Transformers for Arabic Language Generation ... Nagoudi, El Moatez Billah; Elmadany, AbdelRahim; Abdul-Mageed, Muhammad. - : arXiv, 2021 BASE Show details 5 DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings ... Abdul-Mageed, Muhammad; Elbassuoni, Shady; Doughman, Jad. - : arXiv, 2020 BASE Show details 6 Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 ... Abdul-Mageed, Muhammad; Elmadany, AbdelRahim; Nagoudi, El Moatez Billah. - : arXiv, 2020 BASE Show details 7 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2020 BASE Show details 8 DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2019 BASE Show details 9 Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level ... Elmadany, AbdelRahim; Abdou, Sherif; Gheith, Mervat. - : arXiv, 2018 BASE Show details 10 JANA: A Human-Human Dialogues Corpus for Egyptian Dialect Elmadany, AbdelRahim A.; Abdou, Sherif M.; Gheith, Mervat. - : Linguistic Data Consortium, 2016. : https://www.ldc.upenn.edu, 2016 BASE Show details 11 JANA: A Human-Human Dialogues Corpus for Egyptian Dialect ... Elmadany, AbdelRahim A.; Abdou, Sherif M.; Gheith, Mervat. - : Linguistic Data Consortium, 2016 BASE Show details 12 Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages ... Elmadany, AbdelRahim A.; Abdou, Sherif M.; Gheith, Mervat. - : arXiv, 2015 BASE Show details 13 Towards Understanding Egyptian Arabic Dialogues ... Elmadany, Abdelrahim A; Abdou, Sherif M; Gheith, Mervat. - : arXiv, 2015 BASE Show details

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