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arXiv · 2011.10970

DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Muhammad Abdul-Mageed·Shady Elbassuoni·Jad Doughman·AbdelRahim Elmadany·El Moatez Billah Nagoudi·Yorgo Zoughby·Ahmad Shaher·Iskander Gaba·Ahmed Helal·Mohammed El-Razzaz
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Abstract

Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embedding. DiaLex covers five important Arabic dialects: Algerian, Egyptian, Lebanese, Syrian, and Tunisian. Across these dialects, DiaLex provides a testbank for six syntactic and semantic relations, namely male to female, singular to dual, singular to plural, antonym, comparative, and genitive to past tense. DiaLex thus consists of a collection of word pairs representing each of the six relations in each of the five dialects. To demonstrate the utility of DiaLex, we use it to evaluate a set of existing and new Arabic word embeddings that we developed. Our benchmark, evaluation code, and new word embedding models will be publicly available.

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Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher, Iskander Gaba, Ahmed Helal, Mohammed El-Razzaz. 2020-11-22. DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings. https://arxiv.org/abs/2011.10970

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