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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 Page: 1 2 Hits 1 – 20 of 26 1 Automatic Detection of Entity-Manipulated Text using Factual Knowledge ... Jawahar, Ganesh; Abdul-Mageed, Muhammad; Lakshmanan, Laks V. S.. - : arXiv, 2022 BASE Show details 2 Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go ... Adebara, Ife; Abdul-Mageed, Muhammad. - : arXiv, 2022 BASE Show details 3 Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling ... Khalifa, Muhammad; Abdul-Mageed, Muhammad; Shaalan, Khaled. - : arXiv, 2021 BASE Show details 4 Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation ... Nagoudi, El Moatez Billah; Elmadany, AbdelRahim; Abdul-Mageed, Muhammad. - : arXiv, 2021 Abstract: Recent progress in neural machine translation (NMT) has made it possible to translate successfully between monolingual language pairs where large parallel data exist, with pre-trained models improving performance even further. Although there exists work on translating in code-mixed settings (where one of the pairs includes text from two or more languages), it is still unclear what recent success in NMT and language modeling exactly means for translating code-mixed text. We investigate one such context, namely MT from code-mixed Modern Standard Arabic and Egyptian Arabic (MSAEA) into English. We develop models under different conditions, employing both (i) standard end-to-end sequence-to-sequence (S2S) Transformers trained from scratch and (ii) pre-trained S2S language models (LMs). We are able to acquire reasonable performance using only MSA-EN parallel data with S2S models trained from scratch. We also find LMs fine-tuned on data from various Arabic dialects to help the MSAEA-EN task. Our work is in the ... : CALCS2021, colocated with NAACL-2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2105.13573 https://arxiv.org/abs/2105.13573 BASE Hide details 5 NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2021 BASE Show details 6 Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings ... Adebara, Ife; Abdul-Mageed, Muhammad; Silfverberg, Miikka. - : arXiv, 2021 BASE Show details 7 Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing ... Jawahar, Ganesh; Nagoudi, El Moatez Billah; Abdul-Mageed, Muhammad. - : arXiv, 2021 BASE Show details 8 ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic ... Abdul-Mageed, Muhammad; Elmadany, AbdelRahim; Nagoudi, El Moatez Billah. - : arXiv, 2021 BASE Show details 9 AraT5: Text-to-Text Transformers for Arabic Language Generation ... Nagoudi, El Moatez Billah; Elmadany, AbdelRahim; Abdul-Mageed, Muhammad. - : arXiv, 2021 BASE Show details 10 ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Abdul-Mageed, Muhammad; Nagoudi, ElMoatez Billah. - : Underline Science Inc., 2021 BASE Show details 11 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Bouamor, Houda. - : arXiv, 2020 BASE Show details 12 DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings ... Abdul-Mageed, Muhammad; Elbassuoni, Shady; Doughman, Jad. - : arXiv, 2020 BASE Show details 13 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 14 One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble ... Vesik, Kaili; Abdul-Mageed, Muhammad; Silfverberg, Miikka. - : arXiv, 2020 BASE Show details 15 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2020 BASE Show details 16 Automatic Detection of Machine Generated Text: A Critical Survey ... Jawahar, Ganesh; Abdul-Mageed, Muhammad; Lakshmanan, Laks V. S.. - : arXiv, 2020 BASE Show details 17 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... The 28th International Conference on Computational Linguistics 2020; Abdul-Mageed, Muhammad; Bouamor, Houda. - : Underline Science Inc., 2020 BASE Show details 18 Proceedings of the Fifth Arabic Natural Language Processing Workshop Bouamor, Houda; Zaghouani, Wajdi. - : Association for Computational Linguistics, 2020 BASE Show details 19 AraWEAT: Multidimensional analysis of biases in Arabic word embeddings Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020 BASE Show details 20 AraNet: A Deep Learning Toolkit for Arabic Social Media ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Hashemi, Azadeh. - : arXiv, 2019 BASE Show details Page: 1 2

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