Camelira: An Arabic Multi-Dialect Morphological Disambiguator

November 30, 2022 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Ossama Obeid, Go Inoue, Nizar Habash arXiv ID 2211.16807 Category cs.CL: Computation & Language Citations 19 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 4 months ago
Abstract
We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine. Camelira offers a user-friendly web interface that allows researchers and language learners to explore various linguistic information, such as part-of-speech, morphological features, and lemmas. Our system also provides an option to automatically choose an appropriate dialect-specific disambiguator based on the prediction of a dialect identification component. Camelira is publicly accessible at http://camelira.camel-lab.com.
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