CLNov 30, 2022

Camelira: An Arabic Multi-Dialect Morphological Disambiguator

arXiv:2211.16807v1294 citationsh-index: 62
Originality Synthesis-oriented
AI Analysis

This tool addresses the need for accessible morphological analysis for researchers and language learners working with diverse Arabic dialects, though it appears incremental as it builds on existing disambiguation methods.

The researchers tackled the problem of morphological disambiguation across multiple Arabic dialects by developing Camelira, a web-based tool that covers Modern Standard Arabic, Egyptian, Gulf, and Levantine variants, resulting in a publicly accessible system with features like part-of-speech tagging and automatic dialect identification.

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.

Foundations

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