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Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition
April 2, 2024, 7:51 p.m. | Saied Alshahrani, Hesham Haroon, Ali Elfilali, Mariama Njie, Jeanna Matthews
cs.CL updates on arXiv.org arxiv.org
Abstract: Wikipedia articles (content pages) are commonly used corpora in Natural Language Processing (NLP) research, especially in low-resource languages other than English. Yet, a few research studies have studied the three Arabic Wikipedia editions, Arabic Wikipedia (AR), Egyptian Arabic Wikipedia (ARZ), and Moroccan Arabic Wikipedia (ARY), and documented issues in the Egyptian Arabic Wikipedia edition regarding the massive automatic creation of its articles using template-based translation from English to Arabic without human involvement, overwhelming the Egyptian …
abstract arabic articles arxiv case case study cs.cl english exploratory language language processing languages low metadata natural natural language natural language processing nlp processing research studies study template translation type wikipedia
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