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NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
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The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ...
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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A Panoramic Survey of Natural Language Processing in the Arab World ...
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ...
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Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation
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Proceedings of the Fifth Arabic Natural Language Processing Workshop
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AraWEAT: Multidimensional analysis of biases in Arabic word embeddings
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Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019)
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YouDACC: the Youtube Dialectal Arabic Commentary Corpus ...
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YouDACC: the Youtube Dialectal Arabic Commentary Corpus ...
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Abstract:
In the Arab world, while Modern Standard Arabic is commonly used in formal written context, on sites like Youtube, people are increasingly using Dialectal Arabic, the language for everyday use to comment on a video and interact with the community. These user-contributed comments along with the video and user attributes, offer a rich source of multi-dialectal Arabic sentences and expressions from different countries in the Arab world. This paper presents YOUDACC, an automatically annotated large-scale multi-dialectal Arabic corpus collected from user comments on Youtube videos. Our corpus covers different groups of dialects: Egyptian (EG), Gulf (GU), Iraqi (IQ), Maghrebi (MG) and Levantine (LV). We perform an empirical analysis on the crawled corpus and demonstrate that our location-based proposed method is effective for the task of dialect labeling. ...
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Keyword:
80107 Natural Language Processing; FOS Computer and information sciences
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URL: https://kilthub.cmu.edu/articles/YouDACC_the_Youtube_Dialectal_Arabic_Commentary_Corpus/6373124 https://dx.doi.org/10.1184/r1/6373124
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MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction ...
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A Pilot Study on Arabic Multi-Genre Corpus Diacritization Annotation ...
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A Pilot Study on Arabic Multi-Genre Corpus Diacritization Annotation ...
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Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic ...
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DALILA: The Dialectal Arabic Linguistic Learning Assistant
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In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01349203 ; Language Resources and Evaluation Conference, 2016, Portoroz, Slovenia (2016)
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QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
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QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction ...
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Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic ...
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