Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations

December 13, 2022 ยท Declared Dead ยท ๐Ÿ› ACS/IEEE International Conference on Computer Systems and Applications

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Authors Mustafa Jarrar, Fadi A Zaraket, Tymaa Hammouda, Daanish Masood Alavi, Martin Waahlisch arXiv ID 2212.06468 Category cs.CL: Computation & Language Cross-listed cs.DL Citations 15 Venue ACS/IEEE International Conference on Computer Systems and Applications Last Checked 4 months ago
Abstract
This article presents morphologically-annotated Yemeni, Sudanese, Iraqi, and Libyan Arabic dialects Lisan corpora. Lisan features around 1.2 million tokens. We collected the content of the corpora from several social media platforms. The Yemeni corpus (~ 1.05M tokens) was collected automatically from Twitter. The corpora of the other three dialects (~ 50K tokens each) came manually from Facebook and YouTube posts and comments. Thirty five (35) annotators who are native speakers of the target dialects carried out the annotations. The annotators segemented all words in the four corpora into prefixes, stems and suffixes and labeled each with different morphological features such as part of speech, lemma, and a gloss in English. An Arabic Dialect Annotation Toolkit ADAT was developped for the purpose of the annation. The annotators were trained on a set of guidelines and on how to use ADAT. We developed ADAT to assist the annotators and to ensure compatibility with SAMA and Curras tagsets. The tool is open source, and the four corpora are also available online.
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