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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings ...
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Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 ...
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One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble ...
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Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments ...
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Automatic Detection of Machine Generated Text: A Critical Survey ...
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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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. ...
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Keyword:
Natural Language Processing
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URL: https://underline.io/lecture/6534-nadi-2020-the-first-nuanced-arabic-dialect-identification-shared-task https://dx.doi.org/10.48448/jx10-s248
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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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