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• W3107797295 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." @default.
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• W3107797295 date "2020-11-22" @default.
• W3107797295 modified "2023-09-26" @default.
• W3107797295 title "DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings" @default.
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• W3107797295 hasPublicationYear "2020" @default.
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