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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 – 14 of 14 1 AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ... Eddine, Moussa Kamal; Tomeh, Nadi; Habash, Nizar. - : arXiv, 2022 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 The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ... Inoue, Go; Alhafni, Bashar; Baimukan, Nurpeiis. - : arXiv, 2021 BASE Show details 4 Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ... Inoue, Go; Khalifa, Salam; Habash, Nizar. - : arXiv, 2021 BASE Show details 5 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Bouamor, Houda; Habash, Nizar. - : arXiv, 2020 Abstract: We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identification (Subtask 1) and province-level sub-dialect identification (Subtask 2). The data for the shared task covers a total of 100 provinces from 21 Arab countries and are collected from the Twitter domain. As such, NADI is the first shared task to target naturally-occurring fine-grained dialectal text at the sub-country level. A total of 61 teams from 25 countries registered to participate in the tasks, thus reflecting the interest of the community in this area. We received 47 submissions for Subtask 1 from 18 teams and 9 submissions for Subtask 2 from 9 teams. ... : Accepted in The Fifth Arabic Natural Language Processing Workshop (WANLP 2020) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2010.11334 https://arxiv.org/abs/2010.11334 BASE Hide details 6 A Panoramic Survey of Natural Language Processing in the Arab World ... Darwish, Kareem; Habash, Nizar; Abbas, Mourad. - : arXiv, 2020 BASE Show details 7 Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling ... Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019 BASE Show details 8 Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging ... Zalmout, Nasser; Habash, Nizar. - : arXiv, 2019 BASE Show details 9 MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ... Obeid, Ossama; Khalifa, Salam; Habash, Nizar. - : arXiv, 2018 BASE Show details 10 Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models ... Watson, Daniel; Zalmout, Nasser; Habash, Nizar. - : arXiv, 2018 BASE Show details 11 Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ... Erdmann, Alexander; Habash, Nizar; Taji, Dima. - : arXiv, 2017 BASE Show details 12 Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ... Sajjad, Hassan; Durrani, Nadir; Guzman, Francisco. - : arXiv, 2016 BASE Show details 13 A Large Scale Corpus of Gulf Arabic ... Khalifa, Salam; Habash, Nizar; Abdulrahim, Dana. - : arXiv, 2016 BASE Show details 14 LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual ... Diab, Mona; Habash, Nizar; Rambow, Owen. - : arXiv, 2013 BASE Show details

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